Contract: Permanent, full-time Location: London (hybrid-working) Closing Date: 29 May 2026
About the role
The Lead Business Analyst will lead and manage a team of Business Analysts, overseeing analysis and specification activities across a diverse portfolio of projects. You will be responsible for ensuring the delivery of high-quality business and systems analysis that underpins effective IT solutions aligned with Trinity's enterprise architecture and strategic objectives. Working in close collaboration with Project Managers, technical teams, and the Product team, you will play a key role in translating business needs into technology solutions. Additionally, you will provide leadership in maintaining analysis standards, promoting best practices, and driving continuous improvement across the business analysis function. Your duties will include, but not limited, to the following areas:
Team leadership and management
Planning and coordination
Business analysis and solutions design
Testing and implementation support
Collaboration across teams
Standards, governance and continuous improvement
Data awareness
About you
Significant experience working as a Business Analyst on complex IT and digital projects across the full software development lifecycle.
Proven team leadership or line management experience within a business analysis function.
Strong stakeholder management skills, with the ability to engage effectively at all levels of the organisation.
Excellent written and verbal communication skills, including the ability to produce high-quality documentation.
Strong technical understanding to support the translation of business needs into effective system designs.
Experience producing functional and technical specifications and supporting solution design processes.
Demonstrable experience in system and user acceptance testing.
Ability to plan, estimate, and manage analysis activities across multiple projects.
Proficient in a range of analysis techniques, process modelling, and requirements gathering tools.
Experience working with agile delivery teams, particularly alongside Product Owners and UX professionals.
Understanding of information governance and data protection (e.g. GDPR).
Familiarity with enterprise data models and reporting structures.
Background in education, assessment, or global organisations.
Awareness of product development lifecycles and customer-centric design principles.
Our benefits
Trinity provides a work environment that is stimulating, inspiring and fair. Our approach to reward values our employees while ensuring each person’s contribution makes us great as an organisation. As an employee, you’ll enjoy a range of benefits here at Trinity.
Our commitment
Trinity is open to all applicants from different backgrounds and we are committed to building a more diverse and inclusive workplace. All applications are dealt with in the strictest of confidence.
We actively encourages applications from candidates of all abilities. As a Disability Confident employer, we are dedicated to creating a workplace that is accessible, supportive, and welcoming for individuals with different abilities. We will make sure you can be interviewed fairly if you have a disability, long term health condition, or are neuro-diverse.
Trinity promotes and welcome applications from a wide range of candidates, including those with criminal records. In line with the requirements of the Rehabilitation of Offenders Act (1974), we select all candidates for interview based on their competencies, qualifications and knowledge.
To learn more about our DEI commitment as an equal opportunities employer, please visit our Equality, diversity and inclusion page.
How to Apply
To apply, please follow the Apply for This Job link on this page and you will be directed to the Trinity College London application page. We reserve the right to close the advert earlier if we receive a high volume of interest so please do not delay if interested.
Trinity College London does not hold a job visa sponsorship licence and so is not in a position to sponsor visas in the UK.
All posts are subject to a safer recruitment process, including the disclosure of criminal records and vetting checks. Upon successful appointment into the role, you will be required to complete our vetting procedures as with all Trinity College London employees. This is carried out by a 3rd party supplier and our standard background checks consist of Right to Work in the UK, Identity Check, Employment History check, Financial Probity Check, Highest Academic Qualifications Check and a basic DBS check.
Trinity College London will collect and use your personal information for our recruitment process in accordance with our Recruitment Privacy Notice . Trinity College London will hold candidate data on file for no more than six months from application submission. If you want your information to be removed earlier, please contact us directly. If we want to hold your information beyond the six months, we will contact you to get your consent.
Our data protection policy can be viewed in full here .
14/05/2026
Full time
Contract: Permanent, full-time Location: London (hybrid-working) Closing Date: 29 May 2026
About the role
The Lead Business Analyst will lead and manage a team of Business Analysts, overseeing analysis and specification activities across a diverse portfolio of projects. You will be responsible for ensuring the delivery of high-quality business and systems analysis that underpins effective IT solutions aligned with Trinity's enterprise architecture and strategic objectives. Working in close collaboration with Project Managers, technical teams, and the Product team, you will play a key role in translating business needs into technology solutions. Additionally, you will provide leadership in maintaining analysis standards, promoting best practices, and driving continuous improvement across the business analysis function. Your duties will include, but not limited, to the following areas:
Team leadership and management
Planning and coordination
Business analysis and solutions design
Testing and implementation support
Collaboration across teams
Standards, governance and continuous improvement
Data awareness
About you
Significant experience working as a Business Analyst on complex IT and digital projects across the full software development lifecycle.
Proven team leadership or line management experience within a business analysis function.
Strong stakeholder management skills, with the ability to engage effectively at all levels of the organisation.
Excellent written and verbal communication skills, including the ability to produce high-quality documentation.
Strong technical understanding to support the translation of business needs into effective system designs.
Experience producing functional and technical specifications and supporting solution design processes.
Demonstrable experience in system and user acceptance testing.
Ability to plan, estimate, and manage analysis activities across multiple projects.
Proficient in a range of analysis techniques, process modelling, and requirements gathering tools.
Experience working with agile delivery teams, particularly alongside Product Owners and UX professionals.
Understanding of information governance and data protection (e.g. GDPR).
Familiarity with enterprise data models and reporting structures.
Background in education, assessment, or global organisations.
Awareness of product development lifecycles and customer-centric design principles.
Our benefits
Trinity provides a work environment that is stimulating, inspiring and fair. Our approach to reward values our employees while ensuring each person’s contribution makes us great as an organisation. As an employee, you’ll enjoy a range of benefits here at Trinity.
Our commitment
Trinity is open to all applicants from different backgrounds and we are committed to building a more diverse and inclusive workplace. All applications are dealt with in the strictest of confidence.
We actively encourages applications from candidates of all abilities. As a Disability Confident employer, we are dedicated to creating a workplace that is accessible, supportive, and welcoming for individuals with different abilities. We will make sure you can be interviewed fairly if you have a disability, long term health condition, or are neuro-diverse.
Trinity promotes and welcome applications from a wide range of candidates, including those with criminal records. In line with the requirements of the Rehabilitation of Offenders Act (1974), we select all candidates for interview based on their competencies, qualifications and knowledge.
To learn more about our DEI commitment as an equal opportunities employer, please visit our Equality, diversity and inclusion page.
How to Apply
To apply, please follow the Apply for This Job link on this page and you will be directed to the Trinity College London application page. We reserve the right to close the advert earlier if we receive a high volume of interest so please do not delay if interested.
Trinity College London does not hold a job visa sponsorship licence and so is not in a position to sponsor visas in the UK.
All posts are subject to a safer recruitment process, including the disclosure of criminal records and vetting checks. Upon successful appointment into the role, you will be required to complete our vetting procedures as with all Trinity College London employees. This is carried out by a 3rd party supplier and our standard background checks consist of Right to Work in the UK, Identity Check, Employment History check, Financial Probity Check, Highest Academic Qualifications Check and a basic DBS check.
Trinity College London will collect and use your personal information for our recruitment process in accordance with our Recruitment Privacy Notice . Trinity College London will hold candidate data on file for no more than six months from application submission. If you want your information to be removed earlier, please contact us directly. If we want to hold your information beyond the six months, we will contact you to get your consent.
Our data protection policy can be viewed in full here .
The Infrastructure team resides within the innovative and progressive Digital and Technology Directorate and is embedded in a major and exciting three year legacy displacement programme. The directorate is a welcoming group of over 100 multidisciplinary professionals, all focused on building, delivering and supporting secure, modern and efficient digital and technology services. This role leads the infrastructure team with responsibility for the design, implementation, administration and support of infrastructure and digital solutions and services and the effective deployment of resources. About the Role We are looking for an accomplished Digital and Technology Infrastructure Services Manager to join us and lead a team of engineers and their workload. You'll mentor, coach and help develop the team as well as work-load manage business as usual with projects. This is a great opportunity for you to apply your broad skills across a range of systems and services and to provide technical leadership, working collaboratively with key stakeholders and external parties in supporting and working closely with Digital and Technology teams, security advisors and senior management to provide solutions design, expertise and assurance to projects and programmes. You will help develop and maintain Digital and Technology infrastructure and platform policies and procedures, and work with senior management to develop the cyber security strategy. SC-level Security Clearance or willingness to obtain SC clearance is mandatory for this role and requires that you have lived in the UK for the last 3 years. The length of required residency may depend on individual circumstances. About You We are looking for a self-motivated and enthusiastic senior manager who will play a major role in the delivery of Digital and Technology services, from legacy system improvements / replacements through to digital and IT transformation. You will work closely with the various Digital teams and the Cyber Security team to design, create and improve new and existing products and services and you will work with business users, delivery teams and suppliers to identify and resolve issues and user needs. You must have very good, broad experience and knowledge of working in a Digital and Technology support environment using a variety of tools to support the management and delivery of production services. You should have experience across all IT service delivery activities including service management, incident management, change management, release management, configuration management, continual service improvement and customer satisfaction as well as playing a role in ensuring the highest levels of operational service delivery. A key part of this role is core infrastructure lifecycle management, ensuring clear and effective roadmaps and taking responsibility for their upgrades or replacements as required. Aligned with this is working with partners to help deliver the service and contract management of these third parties, including support and maintenance contract renewals. The role incorporates budget responsibility for the infrastructure and associated services, working alongside Finance and Procurement colleagues on renewals and supplier performance management. In addition to the activities outlined above, you must have people management experience to lead a team of infrastructure engineers, delivering a range of IT services. Benefits • You will be based in a beautiful setting by the River Thames in Kew with staff parking and good transport links. • An opportunity to work a hybrid working pattern • A comprehensive benefits scheme including a generous Civil Service pension, a subsidised on-site coffee shop and restaurant, season ticket loans, on-site gym and clubs. • 25 days leave rising incrementally to 30 days after six years (plus 10.5 days public and privilege holidays each year) • Excellent training and development opportunities tailored to your role and an agreed development plan. • Influencing the strategic objectives and the opportunity to define, design and implement improvements. • An opportunity to use or learn a wide range of skills. This is a full time post. However, requests for part-time working, flexible working and job share will be considered, taking into account at all times the operational needs of the Department. A combination of onsite and home working is available and applicants should be able to regularly travel to our Kew site for a minimum of 60% of their work time. Application Process: Interviews: Interviews will be held onsite, no earlier than week commencing 4th May Applications: You will be asked to provide answers to 5 questions relating to the key requirements for the role, and to provide your work history. Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please visit the Civil Service Careers website where you can find further information on the use of AI in the application guidance section. Sponsorship: We are unable to offer sponsorship for this role.
02/04/2026
Full time
The Infrastructure team resides within the innovative and progressive Digital and Technology Directorate and is embedded in a major and exciting three year legacy displacement programme. The directorate is a welcoming group of over 100 multidisciplinary professionals, all focused on building, delivering and supporting secure, modern and efficient digital and technology services. This role leads the infrastructure team with responsibility for the design, implementation, administration and support of infrastructure and digital solutions and services and the effective deployment of resources. About the Role We are looking for an accomplished Digital and Technology Infrastructure Services Manager to join us and lead a team of engineers and their workload. You'll mentor, coach and help develop the team as well as work-load manage business as usual with projects. This is a great opportunity for you to apply your broad skills across a range of systems and services and to provide technical leadership, working collaboratively with key stakeholders and external parties in supporting and working closely with Digital and Technology teams, security advisors and senior management to provide solutions design, expertise and assurance to projects and programmes. You will help develop and maintain Digital and Technology infrastructure and platform policies and procedures, and work with senior management to develop the cyber security strategy. SC-level Security Clearance or willingness to obtain SC clearance is mandatory for this role and requires that you have lived in the UK for the last 3 years. The length of required residency may depend on individual circumstances. About You We are looking for a self-motivated and enthusiastic senior manager who will play a major role in the delivery of Digital and Technology services, from legacy system improvements / replacements through to digital and IT transformation. You will work closely with the various Digital teams and the Cyber Security team to design, create and improve new and existing products and services and you will work with business users, delivery teams and suppliers to identify and resolve issues and user needs. You must have very good, broad experience and knowledge of working in a Digital and Technology support environment using a variety of tools to support the management and delivery of production services. You should have experience across all IT service delivery activities including service management, incident management, change management, release management, configuration management, continual service improvement and customer satisfaction as well as playing a role in ensuring the highest levels of operational service delivery. A key part of this role is core infrastructure lifecycle management, ensuring clear and effective roadmaps and taking responsibility for their upgrades or replacements as required. Aligned with this is working with partners to help deliver the service and contract management of these third parties, including support and maintenance contract renewals. The role incorporates budget responsibility for the infrastructure and associated services, working alongside Finance and Procurement colleagues on renewals and supplier performance management. In addition to the activities outlined above, you must have people management experience to lead a team of infrastructure engineers, delivering a range of IT services. Benefits • You will be based in a beautiful setting by the River Thames in Kew with staff parking and good transport links. • An opportunity to work a hybrid working pattern • A comprehensive benefits scheme including a generous Civil Service pension, a subsidised on-site coffee shop and restaurant, season ticket loans, on-site gym and clubs. • 25 days leave rising incrementally to 30 days after six years (plus 10.5 days public and privilege holidays each year) • Excellent training and development opportunities tailored to your role and an agreed development plan. • Influencing the strategic objectives and the opportunity to define, design and implement improvements. • An opportunity to use or learn a wide range of skills. This is a full time post. However, requests for part-time working, flexible working and job share will be considered, taking into account at all times the operational needs of the Department. A combination of onsite and home working is available and applicants should be able to regularly travel to our Kew site for a minimum of 60% of their work time. Application Process: Interviews: Interviews will be held onsite, no earlier than week commencing 4th May Applications: You will be asked to provide answers to 5 questions relating to the key requirements for the role, and to provide your work history. Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please visit the Civil Service Careers website where you can find further information on the use of AI in the application guidance section. Sponsorship: We are unable to offer sponsorship for this role.
Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission. Job Description We are the Global KYC and Onboarding squad in the Servicing department and we have a mission: to enable teams at Wise to expand and fine-tune the business in a "config change" manner all across the globe, while remaining compliant and safe for the customers. There are three teams in the squad: Business Onboarding Verification, Personal Onboarding Verification and Wise Platform Verification (this is our B2B platform). All of the teams are diverse, cross functional groups passionate about solving complex problems with elegant solutions. We bring together backend and frontend engineers, mobile developers, designers, data analysts and product managers who collaborate closely to deliver exceptional customer experiences. Our teams are responsible for the critical verification journeys that business and personal customers complete before using Wise's products. We own the entire verification lifecycle - from document collection flows and automated review systems to agent tooling and compliance monitoring. We operate with high autonomy, make data driven decisions and celebrate both technical excellence and customer impact. As a team that touches both regulatory requirements and customer experience, we have unique opportunities to innovate in a space traditionally resistant to change. By joining one of our teams, you'll directly impact these customers by transforming a traditionally frustrating experience into one that's fast, intuitive and fair. Your code will help individuals and small businesses access global banking faster, enable entrepreneurs to pay international employees on time and allow people like you and your teammates support their families across borders without friction. We're not just building verification systems - we're removing barriers that stand between our customers and their financial freedom. We need like minded engineers in all the teams in the squad, so we'll use the interview process to discover where your unique skills shine brightest. Ultimately, we want to match you with the team that perfectly aligns with your experience and sets you up for success! Qualifications As a Senior Backend Engineer (IC4), you'll provide technical leadership within your team, designing and implementing scalable, resilient systems that power our verification platform. You'll tackle complex engineering challenges, mentor other engineers and collaborate with product and design to create solutions that make verification faster, more accurate and more customer friendly. What You'll Do Design, build and maintain high performance, scalable backend services using Java, Spring Boot and cloud technologies Lead technical initiatives that improve our verification systems, focusing on automation, reliability and performance Collaborate with product managers to translate business requirements into technical solutions Mentor junior engineers, providing technical guidance and code reviews Drive architectural decisions and technical strategy for verification systems Build internal tools that help our verification agents work efficiently Contribute to our engineering culture through knowledge sharing and best practices What We're Looking For 10+ years of Java 8+ experience, recent work with the Spring framework Experience working with SQL and NoSQL databases Strong system design skills with experience building distributed, high throughput services Track record of leading technical initiatives and mentoring other engineers Strong understanding of security best practices and data protection principles Excellent problem solving skills and attention to detail Ability to communicate complex technical concepts clearly to both technical and non technical audiences Experience with financial or KYC verification systems is a plus Additional Information How we work - a practical guide Wise Tech Stack (2025 update) Our Engineering career map Scaling our Infrastructure; how we make it work Wise Engineering - What Do We Offer Starting salary: Base salary of £111000 - £145000 + RSU Wise Benefits For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
12/07/2026
Full time
Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission. Job Description We are the Global KYC and Onboarding squad in the Servicing department and we have a mission: to enable teams at Wise to expand and fine-tune the business in a "config change" manner all across the globe, while remaining compliant and safe for the customers. There are three teams in the squad: Business Onboarding Verification, Personal Onboarding Verification and Wise Platform Verification (this is our B2B platform). All of the teams are diverse, cross functional groups passionate about solving complex problems with elegant solutions. We bring together backend and frontend engineers, mobile developers, designers, data analysts and product managers who collaborate closely to deliver exceptional customer experiences. Our teams are responsible for the critical verification journeys that business and personal customers complete before using Wise's products. We own the entire verification lifecycle - from document collection flows and automated review systems to agent tooling and compliance monitoring. We operate with high autonomy, make data driven decisions and celebrate both technical excellence and customer impact. As a team that touches both regulatory requirements and customer experience, we have unique opportunities to innovate in a space traditionally resistant to change. By joining one of our teams, you'll directly impact these customers by transforming a traditionally frustrating experience into one that's fast, intuitive and fair. Your code will help individuals and small businesses access global banking faster, enable entrepreneurs to pay international employees on time and allow people like you and your teammates support their families across borders without friction. We're not just building verification systems - we're removing barriers that stand between our customers and their financial freedom. We need like minded engineers in all the teams in the squad, so we'll use the interview process to discover where your unique skills shine brightest. Ultimately, we want to match you with the team that perfectly aligns with your experience and sets you up for success! Qualifications As a Senior Backend Engineer (IC4), you'll provide technical leadership within your team, designing and implementing scalable, resilient systems that power our verification platform. You'll tackle complex engineering challenges, mentor other engineers and collaborate with product and design to create solutions that make verification faster, more accurate and more customer friendly. What You'll Do Design, build and maintain high performance, scalable backend services using Java, Spring Boot and cloud technologies Lead technical initiatives that improve our verification systems, focusing on automation, reliability and performance Collaborate with product managers to translate business requirements into technical solutions Mentor junior engineers, providing technical guidance and code reviews Drive architectural decisions and technical strategy for verification systems Build internal tools that help our verification agents work efficiently Contribute to our engineering culture through knowledge sharing and best practices What We're Looking For 10+ years of Java 8+ experience, recent work with the Spring framework Experience working with SQL and NoSQL databases Strong system design skills with experience building distributed, high throughput services Track record of leading technical initiatives and mentoring other engineers Strong understanding of security best practices and data protection principles Excellent problem solving skills and attention to detail Ability to communicate complex technical concepts clearly to both technical and non technical audiences Experience with financial or KYC verification systems is a plus Additional Information How we work - a practical guide Wise Tech Stack (2025 update) Our Engineering career map Scaling our Infrastructure; how we make it work Wise Engineering - What Do We Offer Starting salary: Base salary of £111000 - £145000 + RSU Wise Benefits For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Director, Cloud Native Architects (CNA) EMEA leads and develops a team of CNAs and sets the standard for technical execution, executive engagement, and adoption outcomes across a range of EMEA Enterprise accounts. The role is accountable for building a repeatable operating system that improves deal quality, increases opportunity predictability, and drives measurable revenue impact (ARR/NRR) in partnership with the Theater Sales organisation, Product teams, and regional stakeholders. Success is reflected across People / Process / Partnership / Product, deliberately prioritised to maximise the Director's most constrained resource: time. People: Building, developing, and inspiring a high performing team with strong technical credibility and ownership. Process: Applying context and rigor in ways that improve focus, decision making, and execution without creating unnecessary overhead. Partnership: Strengthening collaboration with sales, product, and partner stakeholders to improve alignment and shared outcomes. Product: Maintaining sufficient product understanding to guide technical decisions, shape meaningful feedback, and support effective field execution. Scaling model (System Builder): The Director scales impact through a disciplined cadence, clear ownership across a small team, and account domain expertise, not by attending more internal meetings. Role Scope THEATER: EMEA Enterprise Builds and leads: CNA team pooled to deliver outcomes in aligned EMEA Enterprise accounts Role type: People manager + overall technical sales account oversight Revenue alignment This role is directly assigned to the Theater Enterprise Portworx and Everpure Cloud quota and is expected to meet and exceed TCV Sales goals. The Director is accountable for measurable increases in ARR and NRR across a range of Enterprise accounts. CNAs have primary account assignments while being goaled on overall Theater quota performance, ensuring the team operates as a focused unit without losing shared accountability. WHAT YOU'LL DO Build, Develop, & Inspire a Team of Top Performers: Hire/onboard quickly with clear expectations, coaching, and development plans. Build and maintain a strong bench of Technical Sales talent aligned to current and future needs. Partner with recruiting to attract, hire, and onboard high quality candidates in a timely manner. Coach and develop direct reports through regular feedback, mentorship, and clear expectations. Curate & maintain Individual Development Plans that support both role effectiveness and long term career growth. Foster an inclusive, collaborative team environment that encourages learning, ownership, and accountability. Establish a coverage model that assigns primary accounts and defines domain ownership within global accounts (BU/geo/platform), with explicit escalation criteria. Support personnel development in alignment with HR guidelines and company values. Provide Sales Process Oversight, Guidance, and Feedback: Guide CNAs in applying the Technical Sales Process to improve opportunity focus, deal quality, and execution. Use opportunity data as a decision support and coaching tool, not an activity reporting mechanism. Drive disciplined prioritization and disqualification to protect scarce CNA capacity. Co-seller + partner alignment that improves outcomes: Run a regular cadence with co seller Technical Sales leaders focused on meaningful changes in status, risk, sentiment, velocity, and where technical leadership removes friction. Co sponsor targeted Portworx and Pure Storage Cloud efforts for a small number of priority customers where technical leadership materially influences outcomes for the entire Pure Storage portfolio. Establish recurring partner cadences focused on progression, readiness, pipeline health, and risk reduction. Coordinate Feature & Solution Feedback with Business Units : Lead bi weekly working sessions with Product Managers and peers to align on releases, readiness, and feature evolution. Provide synthesized insight tied to real deployment/adoption patterns (patterns > isolated requests). Prioritize RFEs for clarity and meaningful customer impact over volume/noise WHAT YOU BRING Creativity, empathy, an open mind, curiosity and a desire for continuous learning Pre sales experience is required 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi tiered client/server and web based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) Linux, NFS file systems and Linux distributed network environment Familiarity with AWS, Azure, GCP a plus Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems Familiarity with containers, k8s and microservices architectures a plus Strong knowledge of digital transformation to a Cloud Native architecture, On Prem, Public Cloud, Provisioning Automation, and Containers Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking Excellent verbal and written interpersonal skills BS in CS, EE or other technical degree and/or equivalent experience Must have a familiarity with modern web architecture a plus (LAMP stack, scale out vs scale up architectures, AWS well architected framework, microservices architecture) Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
12/07/2026
Full time
We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Director, Cloud Native Architects (CNA) EMEA leads and develops a team of CNAs and sets the standard for technical execution, executive engagement, and adoption outcomes across a range of EMEA Enterprise accounts. The role is accountable for building a repeatable operating system that improves deal quality, increases opportunity predictability, and drives measurable revenue impact (ARR/NRR) in partnership with the Theater Sales organisation, Product teams, and regional stakeholders. Success is reflected across People / Process / Partnership / Product, deliberately prioritised to maximise the Director's most constrained resource: time. People: Building, developing, and inspiring a high performing team with strong technical credibility and ownership. Process: Applying context and rigor in ways that improve focus, decision making, and execution without creating unnecessary overhead. Partnership: Strengthening collaboration with sales, product, and partner stakeholders to improve alignment and shared outcomes. Product: Maintaining sufficient product understanding to guide technical decisions, shape meaningful feedback, and support effective field execution. Scaling model (System Builder): The Director scales impact through a disciplined cadence, clear ownership across a small team, and account domain expertise, not by attending more internal meetings. Role Scope THEATER: EMEA Enterprise Builds and leads: CNA team pooled to deliver outcomes in aligned EMEA Enterprise accounts Role type: People manager + overall technical sales account oversight Revenue alignment This role is directly assigned to the Theater Enterprise Portworx and Everpure Cloud quota and is expected to meet and exceed TCV Sales goals. The Director is accountable for measurable increases in ARR and NRR across a range of Enterprise accounts. CNAs have primary account assignments while being goaled on overall Theater quota performance, ensuring the team operates as a focused unit without losing shared accountability. WHAT YOU'LL DO Build, Develop, & Inspire a Team of Top Performers: Hire/onboard quickly with clear expectations, coaching, and development plans. Build and maintain a strong bench of Technical Sales talent aligned to current and future needs. Partner with recruiting to attract, hire, and onboard high quality candidates in a timely manner. Coach and develop direct reports through regular feedback, mentorship, and clear expectations. Curate & maintain Individual Development Plans that support both role effectiveness and long term career growth. Foster an inclusive, collaborative team environment that encourages learning, ownership, and accountability. Establish a coverage model that assigns primary accounts and defines domain ownership within global accounts (BU/geo/platform), with explicit escalation criteria. Support personnel development in alignment with HR guidelines and company values. Provide Sales Process Oversight, Guidance, and Feedback: Guide CNAs in applying the Technical Sales Process to improve opportunity focus, deal quality, and execution. Use opportunity data as a decision support and coaching tool, not an activity reporting mechanism. Drive disciplined prioritization and disqualification to protect scarce CNA capacity. Co-seller + partner alignment that improves outcomes: Run a regular cadence with co seller Technical Sales leaders focused on meaningful changes in status, risk, sentiment, velocity, and where technical leadership removes friction. Co sponsor targeted Portworx and Pure Storage Cloud efforts for a small number of priority customers where technical leadership materially influences outcomes for the entire Pure Storage portfolio. Establish recurring partner cadences focused on progression, readiness, pipeline health, and risk reduction. Coordinate Feature & Solution Feedback with Business Units : Lead bi weekly working sessions with Product Managers and peers to align on releases, readiness, and feature evolution. Provide synthesized insight tied to real deployment/adoption patterns (patterns > isolated requests). Prioritize RFEs for clarity and meaningful customer impact over volume/noise WHAT YOU BRING Creativity, empathy, an open mind, curiosity and a desire for continuous learning Pre sales experience is required 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi tiered client/server and web based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) Linux, NFS file systems and Linux distributed network environment Familiarity with AWS, Azure, GCP a plus Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems Familiarity with containers, k8s and microservices architectures a plus Strong knowledge of digital transformation to a Cloud Native architecture, On Prem, Public Cloud, Provisioning Automation, and Containers Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking Excellent verbal and written interpersonal skills BS in CS, EE or other technical degree and/or equivalent experience Must have a familiarity with modern web architecture a plus (LAMP stack, scale out vs scale up architectures, AWS well architected framework, microservices architecture) Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Docker's AI engineering team is looking for a Staff Engineer to help build the future of containerized AI agents. This role is only available to candidates currently located in London or a reasonable commuting distance to London. Responsibilities Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability. Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration. Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers. RAG Integration: Enhance agent capabilities with Retrieval Augmented Generation systems to provide contextual knowledge and domain expertise. Evaluation & Testing: Design evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness. Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently. Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem. Cross functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. Qualifications Strong, demonstrated, professional proficiency in Go (required). Practical experience with large language models (LLMs) and agent development. Proven ability to design scalable, distributed systems. Deep understanding of Docker, containerization best practices, and container orchestration. Experience building Retrieval Augmented Generation systems (secondary focus). Experience with AI orchestration frameworks such as CrewAI, AGNO, ADK, LangChain/LangGraph (preferred). Python proficiency for AI prototyping and tooling (preferred). Experience with Kubernetes or other container orchestration platforms (preferred). Open source contributions and community engagement (preferred). Experience with agent evaluation, reliability, and observability techniques (preferred). 8+ years of directly applicable experience. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not offer visa sponsorship for this role.
12/07/2026
Full time
Docker's AI engineering team is looking for a Staff Engineer to help build the future of containerized AI agents. This role is only available to candidates currently located in London or a reasonable commuting distance to London. Responsibilities Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability. Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration. Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers. RAG Integration: Enhance agent capabilities with Retrieval Augmented Generation systems to provide contextual knowledge and domain expertise. Evaluation & Testing: Design evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness. Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently. Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem. Cross functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. Qualifications Strong, demonstrated, professional proficiency in Go (required). Practical experience with large language models (LLMs) and agent development. Proven ability to design scalable, distributed systems. Deep understanding of Docker, containerization best practices, and container orchestration. Experience building Retrieval Augmented Generation systems (secondary focus). Experience with AI orchestration frameworks such as CrewAI, AGNO, ADK, LangChain/LangGraph (preferred). Python proficiency for AI prototyping and tooling (preferred). Experience with Kubernetes or other container orchestration platforms (preferred). Open source contributions and community engagement (preferred). Experience with agent evaluation, reliability, and observability techniques (preferred). 8+ years of directly applicable experience. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not offer visa sponsorship for this role.
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you're a collaborator who wants to help transform how businesses operate globally, get in touch - we'd love to discuss how Ebury can accelerate your career so you can shape the future. Staff Engineer (Identity Team) London Office - Hybrid: 4 days in the office, 1 day working from home Ebury is seeking exceptional and highly motivated software engineers to join our engineering division in London. This is an opportunity to make a significant impact within a leading FinTech firm. As a Staff Software Engineer, you will be an integral part of our Identity team from your first day, contributing to mission-critical projects. As a Senior Engineer, you will have significant responsibility, agency, and ownership of large, mission-critical services, products, and platforms. We are committed to identifying and nurturing future technical leaders, for those who demonstrate exceptional performance and aptitude, we offer an accelerated path for career progression. What We Offer Competitive salary, performance-based bonus, and a comprehensive benefits package. A structured career development path with dedicated mentorship from senior engineers and clear opportunities for advancement. The opportunity to work on complex, intellectually stimulating projects that have a significant and measurable business impact. A dynamic, inclusive, and high-performance work environment within a leading, high-growth global FinTech company. The opportunity to build and contribute to critical projects from day 1. Key Responsibilities Design, develop, test, and deploy high-quality, scalable software solutions for our global financial platform. Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers, to deliver robust features and products. Participate in the full software development lifecycle, from initial ideation and technical design to deployment and operational maintenance. Contribute to technical discussions and architectural design reviews, helping to shape the future of our technology stack. Uphold and enhance engineering best practices through rigorous code reviews, automated testing, and adherence to continuous integration/deployment (CI/CD) principles. We encourage you to leverage the latest AI tools to augment your skills and accelerate your learning. We champion their responsible use, emphasizing that you must be able to fully understand and own any code or solution you develop. Required Qualifications Experience building enterprise-level Identity, Access Management (IAM) platforms, Fine-Grained Access Control (FGAC) systems, and defining authorization policies. A Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related technical discipline, with a strong academic record. You'll probably have over 7 years of experience as a software engineer writing production-grade code, but competency, attitude, and ability matter more to us than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc). Strong analytical and problem-solving skills, with the ability to approach complex challenges in a structured manner. Excellent communication and interpersonal skills, with a commitment to working effectively within a collaborative team environment. Knowledge of advanced authentication techniques, such as device binding/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain-Driven Design (DDD) and standardizing communication patterns in a centralized architecture.
12/07/2026
Full time
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you're a collaborator who wants to help transform how businesses operate globally, get in touch - we'd love to discuss how Ebury can accelerate your career so you can shape the future. Staff Engineer (Identity Team) London Office - Hybrid: 4 days in the office, 1 day working from home Ebury is seeking exceptional and highly motivated software engineers to join our engineering division in London. This is an opportunity to make a significant impact within a leading FinTech firm. As a Staff Software Engineer, you will be an integral part of our Identity team from your first day, contributing to mission-critical projects. As a Senior Engineer, you will have significant responsibility, agency, and ownership of large, mission-critical services, products, and platforms. We are committed to identifying and nurturing future technical leaders, for those who demonstrate exceptional performance and aptitude, we offer an accelerated path for career progression. What We Offer Competitive salary, performance-based bonus, and a comprehensive benefits package. A structured career development path with dedicated mentorship from senior engineers and clear opportunities for advancement. The opportunity to work on complex, intellectually stimulating projects that have a significant and measurable business impact. A dynamic, inclusive, and high-performance work environment within a leading, high-growth global FinTech company. The opportunity to build and contribute to critical projects from day 1. Key Responsibilities Design, develop, test, and deploy high-quality, scalable software solutions for our global financial platform. Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers, to deliver robust features and products. Participate in the full software development lifecycle, from initial ideation and technical design to deployment and operational maintenance. Contribute to technical discussions and architectural design reviews, helping to shape the future of our technology stack. Uphold and enhance engineering best practices through rigorous code reviews, automated testing, and adherence to continuous integration/deployment (CI/CD) principles. We encourage you to leverage the latest AI tools to augment your skills and accelerate your learning. We champion their responsible use, emphasizing that you must be able to fully understand and own any code or solution you develop. Required Qualifications Experience building enterprise-level Identity, Access Management (IAM) platforms, Fine-Grained Access Control (FGAC) systems, and defining authorization policies. A Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related technical discipline, with a strong academic record. You'll probably have over 7 years of experience as a software engineer writing production-grade code, but competency, attitude, and ability matter more to us than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc). Strong analytical and problem-solving skills, with the ability to approach complex challenges in a structured manner. Excellent communication and interpersonal skills, with a commitment to working effectively within a collaborative team environment. Knowledge of advanced authentication techniques, such as device binding/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain-Driven Design (DDD) and standardizing communication patterns in a centralized architecture.
Jobtailor in London is seeking a Senior Engineering Lead to own the design and delivery of cloud-native backend systems. You will shape architecture, lead senior engineers, and drive operational excellence across the team. You will champion engineering standards, build scalable pipelines, and influence stakeholders to ensure outcomes are achieved with minimal prescriptive guidance. A servant leadership mindset is essential.
12/07/2026
Full time
Jobtailor in London is seeking a Senior Engineering Lead to own the design and delivery of cloud-native backend systems. You will shape architecture, lead senior engineers, and drive operational excellence across the team. You will champion engineering standards, build scalable pipelines, and influence stakeholders to ensure outcomes are achieved with minimal prescriptive guidance. A servant leadership mindset is essential.
System Architect We are looking for a System Architect to join our team who will work on both our current missions and future projects. The Role This is a key leadership position based out of our London office or in our Luxembourg office for one of ClearSpace's pioneering space mission developments. The successful candidate will act as the technical authority for the mission and will ultimately be responsible for its technical success. We are looking for an experienced, confident leader who has held a senior position before and displays a strong balance of technical acumen, management skills and stakeholder management skills. The successful candidate must have a high level of expertise in all aspects of spacecraft engineering, design, and operations. Key responsibilities Leading technical teams to successfully deliver end-to-end mission development activities including Space, Ground, Launch Segments and in-orbit operations. Manage technical schedule on a day-to-day basis ensuring on time delivery of all elements necessary to achieve the program schedule. Manage technical baseline, ensuring impact assessment of changes and non-conformances across the system Responsibility for technical risk register and cost Identifying, analysing, and deriving technical, programmatic, and business requirements, constraints and assumptions impacting ClearSpace's missions. Defining and analysing overall mission architectures. Coordinating the activities of a wide range of domain experts to successfully deliver full mission developments. Defining and coordinating the specific engineering support activities at system level for all aspects of the spacecraft. Monitor and control the interfaces between the sub-systems and Spacecraft-Launch vehicle/Spacecraft-Ground Segment interfaces Coordinating the engineering activities for the Ground Segment and operations ensuring design and development compatible with the spacecraft and mission Defining and co-ordinating a design development and verification philosophy for the system and implementation of the plan ensuring coherency between areas Leading interactions with customers, partners, and subcontractors Monitor and control the technical work of subcontractors and ClearSpace's team relating design, development, production and assembly integration and test (AIT) at subsystem and system levels to ensure that the agreed Contractual Requirements are met Provide support and expertise to anomaly and failure reviews at all levels (equipment, sub-system/system and in-orbit), and develop solutions/resolutions to the problems Coordinate the support to design reviews and evaluate declared compliance versus system level requirements. Closely monitor and control all system level budgets and establish and maintain up to date versions of the budgets and analyses Provide support to in-orbit operations including LEOP and IOT Support ClearSpace's Spacecraft Program Manager in negotiations of technical aspects of spacecraft and launcher contract Support the definition of ClearSpace's strategic direction Support proposal writing for future business Must Have 10+ years' experience in the spacecraft industry with 5+ years in technical leadership positions Experience in decomposition of system requirements, trade studies and sizing/error budget development for a Spacecraft system Working knowledge of spacecraft operations and related ground systems Familiarity with the full space program lifecycle, from business development, proposal generation and contract negotiations, all the way through design, development, assembly, test and successful delivery An in-depth knowledge or a level of expertise including practical experiences in three or more of the following areas is required: Spacecraft System level design/analyses Ground Segment design/implementation Avionics/electronics Electrical and Power Attitude and Orbit Control Propulsion Thermal & Mechanical FDIR Spacecraft AIT Spacecraft LEOP + In-orbit operations Manufacturing processes Launcher Interfaces Team Leadership Confidence with leading multidisciplinary project teams Highly organized, capable of tracking multiple streams of critical activities at once Experience working in a technical capacity with LEO, MEO or GEO Spacecraft system definition and design. A proven track record of successfully delivering complex space development programs Comfortable interacting with customers, both institutional (UKSA, ESA) and commercial Nice to have MSc Degree in Aerospace, Engineering, Mechatronics, Physics or similar A team player, willing to get stuck in and collaborate wherever is needed. Agile, flexible and able to work across a geographically-distributed teams A great communicator
12/07/2026
Full time
System Architect We are looking for a System Architect to join our team who will work on both our current missions and future projects. The Role This is a key leadership position based out of our London office or in our Luxembourg office for one of ClearSpace's pioneering space mission developments. The successful candidate will act as the technical authority for the mission and will ultimately be responsible for its technical success. We are looking for an experienced, confident leader who has held a senior position before and displays a strong balance of technical acumen, management skills and stakeholder management skills. The successful candidate must have a high level of expertise in all aspects of spacecraft engineering, design, and operations. Key responsibilities Leading technical teams to successfully deliver end-to-end mission development activities including Space, Ground, Launch Segments and in-orbit operations. Manage technical schedule on a day-to-day basis ensuring on time delivery of all elements necessary to achieve the program schedule. Manage technical baseline, ensuring impact assessment of changes and non-conformances across the system Responsibility for technical risk register and cost Identifying, analysing, and deriving technical, programmatic, and business requirements, constraints and assumptions impacting ClearSpace's missions. Defining and analysing overall mission architectures. Coordinating the activities of a wide range of domain experts to successfully deliver full mission developments. Defining and coordinating the specific engineering support activities at system level for all aspects of the spacecraft. Monitor and control the interfaces between the sub-systems and Spacecraft-Launch vehicle/Spacecraft-Ground Segment interfaces Coordinating the engineering activities for the Ground Segment and operations ensuring design and development compatible with the spacecraft and mission Defining and co-ordinating a design development and verification philosophy for the system and implementation of the plan ensuring coherency between areas Leading interactions with customers, partners, and subcontractors Monitor and control the technical work of subcontractors and ClearSpace's team relating design, development, production and assembly integration and test (AIT) at subsystem and system levels to ensure that the agreed Contractual Requirements are met Provide support and expertise to anomaly and failure reviews at all levels (equipment, sub-system/system and in-orbit), and develop solutions/resolutions to the problems Coordinate the support to design reviews and evaluate declared compliance versus system level requirements. Closely monitor and control all system level budgets and establish and maintain up to date versions of the budgets and analyses Provide support to in-orbit operations including LEOP and IOT Support ClearSpace's Spacecraft Program Manager in negotiations of technical aspects of spacecraft and launcher contract Support the definition of ClearSpace's strategic direction Support proposal writing for future business Must Have 10+ years' experience in the spacecraft industry with 5+ years in technical leadership positions Experience in decomposition of system requirements, trade studies and sizing/error budget development for a Spacecraft system Working knowledge of spacecraft operations and related ground systems Familiarity with the full space program lifecycle, from business development, proposal generation and contract negotiations, all the way through design, development, assembly, test and successful delivery An in-depth knowledge or a level of expertise including practical experiences in three or more of the following areas is required: Spacecraft System level design/analyses Ground Segment design/implementation Avionics/electronics Electrical and Power Attitude and Orbit Control Propulsion Thermal & Mechanical FDIR Spacecraft AIT Spacecraft LEOP + In-orbit operations Manufacturing processes Launcher Interfaces Team Leadership Confidence with leading multidisciplinary project teams Highly organized, capable of tracking multiple streams of critical activities at once Experience working in a technical capacity with LEO, MEO or GEO Spacecraft system definition and design. A proven track record of successfully delivering complex space development programs Comfortable interacting with customers, both institutional (UKSA, ESA) and commercial Nice to have MSc Degree in Aerospace, Engineering, Mechatronics, Physics or similar A team player, willing to get stuck in and collaborate wherever is needed. Agile, flexible and able to work across a geographically-distributed teams A great communicator
Responsibilities Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Improving team maturity and driving progress towards, or maintaining, Elite DORA standards Championing engineering excellence and fostering a culture of innovation and continuous improvement Establishing strong engineering standards and build pipelines to support maintainability and extensibility Ensuring cross functional requirements such as security, performance, and reliability are built into delivery Driving cloud first thinking and modernisation across the technology landscape Making effective use of shared platforms to maximise the value delivered by engineering teams Requirements A strong software engineering background, with experience across modern architectures, cloud platforms, and scalable backend systems A track record of building, leading, and developing high performing engineering teams Strong technical judgement across system design, software architecture, and modern engineering practices A DevOps mindset with a strong belief in "you build it, you run it" A strong focus on quality, testing, reliability, and operational excellence Excellent leadership, communication, analytical, and problem solving skills The ability to lead senior engineers and technical partners towards clear outcomes without over prescribing solutions Strong influencing skills and the credibility to work effectively with senior stakeholders across technical and non technical teams A servant leadership mindset and a willingness to take ownership of complex challenges Knowledge of the Retail domain, particularly in supply chain and logistics, would be advantageous but is not essential
12/07/2026
Full time
Responsibilities Ensuring the operational stability and resilience of the software solutions owned by your team Delivering high-quality software solutions that create measurable value for the business Improving team maturity and driving progress towards, or maintaining, Elite DORA standards Championing engineering excellence and fostering a culture of innovation and continuous improvement Establishing strong engineering standards and build pipelines to support maintainability and extensibility Ensuring cross functional requirements such as security, performance, and reliability are built into delivery Driving cloud first thinking and modernisation across the technology landscape Making effective use of shared platforms to maximise the value delivered by engineering teams Requirements A strong software engineering background, with experience across modern architectures, cloud platforms, and scalable backend systems A track record of building, leading, and developing high performing engineering teams Strong technical judgement across system design, software architecture, and modern engineering practices A DevOps mindset with a strong belief in "you build it, you run it" A strong focus on quality, testing, reliability, and operational excellence Excellent leadership, communication, analytical, and problem solving skills The ability to lead senior engineers and technical partners towards clear outcomes without over prescribing solutions Strong influencing skills and the credibility to work effectively with senior stakeholders across technical and non technical teams A servant leadership mindset and a willingness to take ownership of complex challenges Knowledge of the Retail domain, particularly in supply chain and logistics, would be advantageous but is not essential
J.P. Morgan is seeking a Senior Python Developer to join the Athena Rates development team, focusing on risk and PnL frameworks for the Rates line of business. You will architect, design and deliver scalable Python solutions supporting trading desks and back-office processes across derivatives. You will work at the intersection of technology and finance, delivering high-impact systems for risk management and PnL analysis while collaborating with quantitative analysts, traders and risk managers
12/07/2026
Full time
J.P. Morgan is seeking a Senior Python Developer to join the Athena Rates development team, focusing on risk and PnL frameworks for the Rates line of business. You will architect, design and deliver scalable Python solutions supporting trading desks and back-office processes across derivatives. You will work at the intersection of technology and finance, delivering high-impact systems for risk management and PnL analysis while collaborating with quantitative analysts, traders and risk managers
Role Profile The Senior lead Scala Engineer will play a key role in the engineering and delivery of a critical market infrastructure service within the Equities platform, with a strong focus on AWS cloud native development. Reporting directly to the Senior Technical Delivery Engineer, Post Trade, the successful candidate will be responsible for designing, implementing, and maintaining performant, resilient, and scalable backend services built predominantly in Scala. As a senior member of the engineering team, this individual will help shape technical direction, contribute to best-in class engineering standards, and actively support the continued growth and evolution of the business. This exciting opportunity requires a candidate to take pride in their work and ownership of their work. They should have excellent engineering and communication skills, a can do behaviour and be highly collaborative. They will always positively encourage the team. Key Responsibilities A strong focus on engineering excellence and coding, adopting an open and hands on approach to problem solving and delivery. Engage deeply in technical design and implementation to ensure solutions are robust, scalable, and aligned with industry best practices. Actively contribute to all stages of the product engineering life cycle-solutioning, design, coding, and testing-while promoting collaboration and transparency within the team to drive high quality outcomes. Demonstrate ownership and pride in work, proactively taking on new responsibilities aligned with product engineering needs. Embrace and apply LSEG engineering principles, diving deep technically to build with purpose and foster excellence within the team through open collaboration. Create an environment of engagement, challenge, and constructive questioning, ensuring trust and respect are maintained and a strong one team mentality is upheld. Key Skills and Experience Event Driven Microservices Architecture Strong understanding of microservices design, including pitfalls and best practices. Knowledge of Domain Driven Design (DDD) and event driven architecture principles. Experience with containerization and orchestration using Docker and Kubernetes. Skilled in event driven patterns for efficient and robust communication. Expertise in building and maintaining DevOps pipelines, ideally with GitLab. Proficient in shift left testing using tools like JUnit, Cucumber, Gherkin, PACT, and Test Containers. Working knowledge of event/message brokers such as Kafka and MQ. Advanced Scala Programming Strong proficiency in both functional and object oriented programming paradigms, with the ability to apply the right approach to deliver robust, maintainable solutions. Deep practical expertise with Scala, including key frameworks and libraries such as: Akka - for building concurrent, distributed, and resilient message driven systems. Play Framework - for developing scalable, high performance web applications. Cats / Scalaz - for implementing advanced functional programming abstractions and patterns. Proven experience delivering enterprise grade Scala applications in production environments, with a focus on quality, resilience, performance, and observability. Strong understanding of data structures, algorithms, concurrency, and multi threading, with the ability to design efficient and scalable solutions for high throughput systems. Database Management Strong SQL knowledge with experience in relational databases such as Postgres. Working knowledge of object storage solutions, e.g., AWS S3. Familiarity with database version control tools like Flyway and Liquibase. Cloud Architecture Experience working with major public cloud platforms, preferably AWS. Hands on use of cloud based services such as AWS Aurora, MSK, S3, and IAM. Basic understanding of cloud networking concepts. Agile Ways of Working Strong understanding and commitment to the ethos of agile working. Experience working within Scrum and Kanban frameworks. Active participation in sprint ceremonies, including Product Backlog Refinement. Proven collaboration with cross functional teams in scaled agile environments. Some experience writing applications using Java. Developed Web applications using ReactJS. Career Stage: Manager Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Our purpose is to drive financial stability, empower economies and enable customers to create sustainable growth. We bring integrity, partnership, excellence and change to everything we do, every day. We value diversity, inclusion and the unique perspectives of our people.
12/07/2026
Full time
Role Profile The Senior lead Scala Engineer will play a key role in the engineering and delivery of a critical market infrastructure service within the Equities platform, with a strong focus on AWS cloud native development. Reporting directly to the Senior Technical Delivery Engineer, Post Trade, the successful candidate will be responsible for designing, implementing, and maintaining performant, resilient, and scalable backend services built predominantly in Scala. As a senior member of the engineering team, this individual will help shape technical direction, contribute to best-in class engineering standards, and actively support the continued growth and evolution of the business. This exciting opportunity requires a candidate to take pride in their work and ownership of their work. They should have excellent engineering and communication skills, a can do behaviour and be highly collaborative. They will always positively encourage the team. Key Responsibilities A strong focus on engineering excellence and coding, adopting an open and hands on approach to problem solving and delivery. Engage deeply in technical design and implementation to ensure solutions are robust, scalable, and aligned with industry best practices. Actively contribute to all stages of the product engineering life cycle-solutioning, design, coding, and testing-while promoting collaboration and transparency within the team to drive high quality outcomes. Demonstrate ownership and pride in work, proactively taking on new responsibilities aligned with product engineering needs. Embrace and apply LSEG engineering principles, diving deep technically to build with purpose and foster excellence within the team through open collaboration. Create an environment of engagement, challenge, and constructive questioning, ensuring trust and respect are maintained and a strong one team mentality is upheld. Key Skills and Experience Event Driven Microservices Architecture Strong understanding of microservices design, including pitfalls and best practices. Knowledge of Domain Driven Design (DDD) and event driven architecture principles. Experience with containerization and orchestration using Docker and Kubernetes. Skilled in event driven patterns for efficient and robust communication. Expertise in building and maintaining DevOps pipelines, ideally with GitLab. Proficient in shift left testing using tools like JUnit, Cucumber, Gherkin, PACT, and Test Containers. Working knowledge of event/message brokers such as Kafka and MQ. Advanced Scala Programming Strong proficiency in both functional and object oriented programming paradigms, with the ability to apply the right approach to deliver robust, maintainable solutions. Deep practical expertise with Scala, including key frameworks and libraries such as: Akka - for building concurrent, distributed, and resilient message driven systems. Play Framework - for developing scalable, high performance web applications. Cats / Scalaz - for implementing advanced functional programming abstractions and patterns. Proven experience delivering enterprise grade Scala applications in production environments, with a focus on quality, resilience, performance, and observability. Strong understanding of data structures, algorithms, concurrency, and multi threading, with the ability to design efficient and scalable solutions for high throughput systems. Database Management Strong SQL knowledge with experience in relational databases such as Postgres. Working knowledge of object storage solutions, e.g., AWS S3. Familiarity with database version control tools like Flyway and Liquibase. Cloud Architecture Experience working with major public cloud platforms, preferably AWS. Hands on use of cloud based services such as AWS Aurora, MSK, S3, and IAM. Basic understanding of cloud networking concepts. Agile Ways of Working Strong understanding and commitment to the ethos of agile working. Experience working within Scrum and Kanban frameworks. Active participation in sprint ceremonies, including Product Backlog Refinement. Proven collaboration with cross functional teams in scaled agile environments. Some experience writing applications using Java. Developed Web applications using ReactJS. Career Stage: Manager Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Our purpose is to drive financial stability, empower economies and enable customers to create sustainable growth. We bring integrity, partnership, excellence and change to everything we do, every day. We value diversity, inclusion and the unique perspectives of our people.
Role Summary FTSE Russell (LSEG) is building the real time platform that powers global index calculation across equity, fixed income, and multi asset markets. We're looking for a hands on Senior Technical Lead to modernise and scale this cloud native, low latency system at global scale. This is an individual contributor leadership role: you'll lead through architecture, engineering quality, and delivery - designing resilient, event driven systems, shaping technical direction, and raising standards across the team. What you'll be doing Design and build real time, event driven systems that calculate and distribute index data with low latency and high reliability. Own platform architecture and engineering quality, leading through delivery, code review, and clear technical direction. Scale and operate a cloud native platform on AWS, ensuring resilience, observability, and performance under real market conditions. Define and evolve data models and pipelines for market and reference data, focusing on accuracy, auditability, and control. Drive engineering standards and modernisation, using AI assisted tooling and automation to improve delivery speed without compromising quality. Tech Stack Development: Java, C#, Python, SQL, OpenAPI. Cloud: AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora, and others as required). Databases: Sybase ASE, Sybase IQ, Aurora Postgres. IaC and CI/CD: Terraform, AWS CLI, GitLab. AI Development: Agentic AI tooling (GitHub Copilot, Claude Code). What you'll bring Strong background in software engineering, designing and building distributed, event driven systems. Proven ability to own system design and architecture, balancing performance, scalability, and reliability. Hands on experience building and operating cloud native applications on AWS. Solid understanding of data modelling and relational databases in production systems. Experience with infrastructure as code (e.g. Terraform) and modern CI/CD practices. Demonstrated ability to lead through engineering quality - code reviews, testing strategy, and raising technical standards. Nice to Have Experience working on low latency or real time systems. Exposure to financial services, market data, or index products. Practical use of AI assisted development tooling to improve engineering productivity. How We Work Build with purpose - start with why and define the problem before reaching for a solution. Customer driven - work backwards from client needs and build products to address real world problems. Technically courageous - go beyond your comfort zone and push boundaries to deliver excellence. Learn and be curious - continuously seek feedback, learn in formal and informal settings, actively share knowledge. Act as owners - operate as though it is your business, make thoughtful trade offs, and deliver long term value. Lead with data - validate assumptions, stay close to the details, act decisively. Build responsibly, deliver incrementally - look for small opportunities and milestones to build ambitious solutions. AI native by default - use AI tooling as a force multiplier, frame problems clearly, validate continually, and own the output. Career Stage Manager Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Equal Opportunity Statement We are proud to be an equal opportunities employer. This means we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Privacy Notice Please read our privacy notice carefully, as it describes what personal information London Stock Exchange Group may hold about you, what it's used for, and how it's obtained. For your rights and how to contact us as a data subject, see the relevant section of our privacy documentation.
12/07/2026
Full time
Role Summary FTSE Russell (LSEG) is building the real time platform that powers global index calculation across equity, fixed income, and multi asset markets. We're looking for a hands on Senior Technical Lead to modernise and scale this cloud native, low latency system at global scale. This is an individual contributor leadership role: you'll lead through architecture, engineering quality, and delivery - designing resilient, event driven systems, shaping technical direction, and raising standards across the team. What you'll be doing Design and build real time, event driven systems that calculate and distribute index data with low latency and high reliability. Own platform architecture and engineering quality, leading through delivery, code review, and clear technical direction. Scale and operate a cloud native platform on AWS, ensuring resilience, observability, and performance under real market conditions. Define and evolve data models and pipelines for market and reference data, focusing on accuracy, auditability, and control. Drive engineering standards and modernisation, using AI assisted tooling and automation to improve delivery speed without compromising quality. Tech Stack Development: Java, C#, Python, SQL, OpenAPI. Cloud: AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora, and others as required). Databases: Sybase ASE, Sybase IQ, Aurora Postgres. IaC and CI/CD: Terraform, AWS CLI, GitLab. AI Development: Agentic AI tooling (GitHub Copilot, Claude Code). What you'll bring Strong background in software engineering, designing and building distributed, event driven systems. Proven ability to own system design and architecture, balancing performance, scalability, and reliability. Hands on experience building and operating cloud native applications on AWS. Solid understanding of data modelling and relational databases in production systems. Experience with infrastructure as code (e.g. Terraform) and modern CI/CD practices. Demonstrated ability to lead through engineering quality - code reviews, testing strategy, and raising technical standards. Nice to Have Experience working on low latency or real time systems. Exposure to financial services, market data, or index products. Practical use of AI assisted development tooling to improve engineering productivity. How We Work Build with purpose - start with why and define the problem before reaching for a solution. Customer driven - work backwards from client needs and build products to address real world problems. Technically courageous - go beyond your comfort zone and push boundaries to deliver excellence. Learn and be curious - continuously seek feedback, learn in formal and informal settings, actively share knowledge. Act as owners - operate as though it is your business, make thoughtful trade offs, and deliver long term value. Lead with data - validate assumptions, stay close to the details, act decisively. Build responsibly, deliver incrementally - look for small opportunities and milestones to build ambitious solutions. AI native by default - use AI tooling as a force multiplier, frame problems clearly, validate continually, and own the output. Career Stage Manager Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Equal Opportunity Statement We are proud to be an equal opportunities employer. This means we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Privacy Notice Please read our privacy notice carefully, as it describes what personal information London Stock Exchange Group may hold about you, what it's used for, and how it's obtained. For your rights and how to contact us as a data subject, see the relevant section of our privacy documentation.
At Nerdio, our mission is to simplify the lives of IT professionals and maximize their Microsoft cloud and end user computing investments. We support organizations of all sizes looking to deploy, manage, and cost optimize native Microsoft technologies. We partner with Enterprises and Managed Service Providers all over the world to add value on top of their existing native Microsoft investments like Azure Virtual Desktop (AVD), Windows 365, and Microsoft Intune. Created in 2016, Nerdio has always taken a market leading and collaborative approach to cloud deployment and management. In fact, our product roadmap is greatly influenced by the regular feedback we receive from having seen companies deploy AVD into production environments several thousand times using Nerdio technology. Today, Nerdio is used in over 50 countries by more than 15,000 organizations of every size and vertical. We're committed to delivering exceptional service and support, which starts with identifying and supporting the best staff possible. We are a fast moving, nimble company looking for individuals who are collaborative, empathetic, driven and who love to move at the speed of light. If you want to be part of the AVD transformation that Microsoft and Nerdio are leading, then we want to speak with you. About the role We are looking for a Sr. Product Manager (Individual Contributor) to help shape and build Nerdio's internal AI Enablement Platform within R&D. This team will create software, systems, and experiences that enable employees across the company to adopt AI more deeply and use it to improve productivity in meaningful, measurable ways. This is an IC role on the R&D team that will work directly with the CEO daily to define and build this platform. A key part of this role involves spending significant time with internal teams - both deeply understanding their workflows and helping them adopt and use agentic AI capabilities. As the initiative evolves, the role may continue to expand within this area or transition to other strategic R&D priorities based on business needs. What you'll do Product Strategy, Research & Innovation Lead research driven discovery across internal systems and product areas Identify and validate new product concepts and automation opportunities Balance near term delivery with long term vision Translate ambiguous problems into clear product hypotheses Drive experimentation through prototypes and pilots AI Driven Product Development Champion AI assisted development across discovery, design, and delivery Partner with engineering to deliver AI powered capabilities such as: Recommendations and insights Workflow automation Copilots and guided experiences Ensure meaningful customer value and adoption Enforce responsible AI practices (security, privacy, compliance) Cross Functional Leadership Influence Engineering, Design, Architecture, GTM, and Support Collaborate with internal and external innovation partners Represent product strategy in executive discussions Internal Enablement & Training Spend significant time with internal teams to deeply understand their day to day workflows Act as both learner and teacher - absorb how teams work today and enable them to adopt AI capabilities Design, deliver, and continuously improve training sessions and enablement programs for internal users Develop clear, practical guides, reference materials, and documentation to support adoption across the organization Communicate clearly and compellingly across diverse audiences and organizational levels Execution & Outcomes Author PRDs, problem statements, and success metrics Create UI mockups and iterate on ideas with customers Define outcomes using OKRs, adoption, and customer impact Maintain alignment across teams Continuously refine backlog based on data and feedback Qualifications 4+ years of product management experience in SaaS, cloud, or enterprise software Extensive, hands on experience using AI tools in your own day to day workflows is required and is the most critical qualification - you should be deeply familiar with agentic AI tools and frameworks, intensely curious about AI, and consistently keeping up with the latest developments in the field Experience with Claude Code, Claude Design and Figma Make Deep familiarity with the Microsoft 365 ecosystem of productivity tools (e.g., Outlook, Teams, SharePoint, OneDrive) Excellent communication skills with demonstrated ability to conduct training and develop instructional materials for diverse audiences Proven success leading R&D and innovation initiatives Strong technical fluency and stakeholder influence skills Excellent problem solving skills Comfortable in high ambiguity environments Preferred Qualifications Experience with EUC, DaaS, or VDI technologies Familiarity with copilots, automation, and agent based workflows Experience with platform or developer oriented products Experience contributing to long term product strategy Benefits and Incentives Competitive Base and Incentive Plan Stock Options Health and Welfare Plans Life and Disability Plans Retirement Plan Unlimited Flexible Paid Time Off, including your birthday off! Benefits for international employees, outside the US, vary by country. Nerdio is committed to a diverse and inclusive workplace. Nerdio is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. The pay range for this role is: 150,000 - 200,000 USD per year (Remote (United States Product Management & Engineering Research & Development
12/07/2026
Full time
At Nerdio, our mission is to simplify the lives of IT professionals and maximize their Microsoft cloud and end user computing investments. We support organizations of all sizes looking to deploy, manage, and cost optimize native Microsoft technologies. We partner with Enterprises and Managed Service Providers all over the world to add value on top of their existing native Microsoft investments like Azure Virtual Desktop (AVD), Windows 365, and Microsoft Intune. Created in 2016, Nerdio has always taken a market leading and collaborative approach to cloud deployment and management. In fact, our product roadmap is greatly influenced by the regular feedback we receive from having seen companies deploy AVD into production environments several thousand times using Nerdio technology. Today, Nerdio is used in over 50 countries by more than 15,000 organizations of every size and vertical. We're committed to delivering exceptional service and support, which starts with identifying and supporting the best staff possible. We are a fast moving, nimble company looking for individuals who are collaborative, empathetic, driven and who love to move at the speed of light. If you want to be part of the AVD transformation that Microsoft and Nerdio are leading, then we want to speak with you. About the role We are looking for a Sr. Product Manager (Individual Contributor) to help shape and build Nerdio's internal AI Enablement Platform within R&D. This team will create software, systems, and experiences that enable employees across the company to adopt AI more deeply and use it to improve productivity in meaningful, measurable ways. This is an IC role on the R&D team that will work directly with the CEO daily to define and build this platform. A key part of this role involves spending significant time with internal teams - both deeply understanding their workflows and helping them adopt and use agentic AI capabilities. As the initiative evolves, the role may continue to expand within this area or transition to other strategic R&D priorities based on business needs. What you'll do Product Strategy, Research & Innovation Lead research driven discovery across internal systems and product areas Identify and validate new product concepts and automation opportunities Balance near term delivery with long term vision Translate ambiguous problems into clear product hypotheses Drive experimentation through prototypes and pilots AI Driven Product Development Champion AI assisted development across discovery, design, and delivery Partner with engineering to deliver AI powered capabilities such as: Recommendations and insights Workflow automation Copilots and guided experiences Ensure meaningful customer value and adoption Enforce responsible AI practices (security, privacy, compliance) Cross Functional Leadership Influence Engineering, Design, Architecture, GTM, and Support Collaborate with internal and external innovation partners Represent product strategy in executive discussions Internal Enablement & Training Spend significant time with internal teams to deeply understand their day to day workflows Act as both learner and teacher - absorb how teams work today and enable them to adopt AI capabilities Design, deliver, and continuously improve training sessions and enablement programs for internal users Develop clear, practical guides, reference materials, and documentation to support adoption across the organization Communicate clearly and compellingly across diverse audiences and organizational levels Execution & Outcomes Author PRDs, problem statements, and success metrics Create UI mockups and iterate on ideas with customers Define outcomes using OKRs, adoption, and customer impact Maintain alignment across teams Continuously refine backlog based on data and feedback Qualifications 4+ years of product management experience in SaaS, cloud, or enterprise software Extensive, hands on experience using AI tools in your own day to day workflows is required and is the most critical qualification - you should be deeply familiar with agentic AI tools and frameworks, intensely curious about AI, and consistently keeping up with the latest developments in the field Experience with Claude Code, Claude Design and Figma Make Deep familiarity with the Microsoft 365 ecosystem of productivity tools (e.g., Outlook, Teams, SharePoint, OneDrive) Excellent communication skills with demonstrated ability to conduct training and develop instructional materials for diverse audiences Proven success leading R&D and innovation initiatives Strong technical fluency and stakeholder influence skills Excellent problem solving skills Comfortable in high ambiguity environments Preferred Qualifications Experience with EUC, DaaS, or VDI technologies Familiarity with copilots, automation, and agent based workflows Experience with platform or developer oriented products Experience contributing to long term product strategy Benefits and Incentives Competitive Base and Incentive Plan Stock Options Health and Welfare Plans Life and Disability Plans Retirement Plan Unlimited Flexible Paid Time Off, including your birthday off! Benefits for international employees, outside the US, vary by country. Nerdio is committed to a diverse and inclusive workplace. Nerdio is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. The pay range for this role is: 150,000 - 200,000 USD per year (Remote (United States Product Management & Engineering Research & Development
Client Engagement Architect (Technology Advisory) Principal Engagement Architects at Thoughtworks are the delivery and solution leaders for AI-native advisory engagements. This role combines the responsibilities of an engagement manager, product leader, and systems thinker. You will dictate how high-level strategy translates into working solutions and measurable outcomes. You sit at the center of the engagement, connecting client intent, business outcomes, and execution reality to break down doors, get engagements started, and set up our delivery teams for success. By balancing strong opinions with high intellectual curiosity and flexibility, you bring integrity to technology, driving innovation at the absolute edge of AI strategy. Job responsibilities You will own the delivery of outcomes by translating client goals into clear workstreams, milestones, and outputs, driving the "last mile" from idea to implementation. You will structure and drive AI-native advisory engagements, breaking down complex, ambiguous problems into clear, actionable components across team members, AI agents, and client stakeholders. You will orchestrate AI-native delivery, designing how AI is used across analysis, scenario modeling, workflow generation, and documentation while effectively managing output quality. You will ensure quality and coherence across the engagement, reviewing outputs for logical consistency, business relevance, and technical feasibility to build a cohesive narrative. You will interface directly with client delivery leadership (such as CTOs, CIOs, and program leads), translating advisory recommendations into practical execution paths and navigating tradeoffs in real time. You will proactively manage risk and execution reality, identifying technical, organizational, or commercial delivery risks early and adjusting the approach to maintain progress. You will build reusable delivery patterns, capturing and refining repeatable workflows, engagement models, and decision frameworks to expand our library of AI-native advisory assets. Job qualifications Technical Skills You have 8-15 years of experience in consulting and strategy, with a strong background in technology and a proven transition into the advisory and strategy space. You are highly comfortable with extensive pre sales work, including pricing engagements and putting together proposals, pitch decks, RFIs, and RFQs. You are comfortable with new AI tooling, possessing the ability to design workflows around AI, evaluate the confidence of AI output, and continuously enhance your technical skills over time. You are an expert in systems thinking, allowing you to analyze how business processes, technology, data flows, and end to end dependencies fit together. Professional Skills You thrive in a collaborative, non hierarchical environment that values transparency, openness, feedback, and continuous change. You have a natural ability to navigate complex stakeholder landscapes, establishing and nurturing relationships while communicating clearly and concisely with senior business and technology leaders. You possess a high degree of intellectual curiosity and a structured approach to problem solving, enabling you to think in hypotheses, tradeoffs, and outcomes. You understand how to balance AI capabilities with human oversight, knowing how to apply human judgment to direct AI tools effectively and move past anodyne outputs.
12/07/2026
Full time
Client Engagement Architect (Technology Advisory) Principal Engagement Architects at Thoughtworks are the delivery and solution leaders for AI-native advisory engagements. This role combines the responsibilities of an engagement manager, product leader, and systems thinker. You will dictate how high-level strategy translates into working solutions and measurable outcomes. You sit at the center of the engagement, connecting client intent, business outcomes, and execution reality to break down doors, get engagements started, and set up our delivery teams for success. By balancing strong opinions with high intellectual curiosity and flexibility, you bring integrity to technology, driving innovation at the absolute edge of AI strategy. Job responsibilities You will own the delivery of outcomes by translating client goals into clear workstreams, milestones, and outputs, driving the "last mile" from idea to implementation. You will structure and drive AI-native advisory engagements, breaking down complex, ambiguous problems into clear, actionable components across team members, AI agents, and client stakeholders. You will orchestrate AI-native delivery, designing how AI is used across analysis, scenario modeling, workflow generation, and documentation while effectively managing output quality. You will ensure quality and coherence across the engagement, reviewing outputs for logical consistency, business relevance, and technical feasibility to build a cohesive narrative. You will interface directly with client delivery leadership (such as CTOs, CIOs, and program leads), translating advisory recommendations into practical execution paths and navigating tradeoffs in real time. You will proactively manage risk and execution reality, identifying technical, organizational, or commercial delivery risks early and adjusting the approach to maintain progress. You will build reusable delivery patterns, capturing and refining repeatable workflows, engagement models, and decision frameworks to expand our library of AI-native advisory assets. Job qualifications Technical Skills You have 8-15 years of experience in consulting and strategy, with a strong background in technology and a proven transition into the advisory and strategy space. You are highly comfortable with extensive pre sales work, including pricing engagements and putting together proposals, pitch decks, RFIs, and RFQs. You are comfortable with new AI tooling, possessing the ability to design workflows around AI, evaluate the confidence of AI output, and continuously enhance your technical skills over time. You are an expert in systems thinking, allowing you to analyze how business processes, technology, data flows, and end to end dependencies fit together. Professional Skills You thrive in a collaborative, non hierarchical environment that values transparency, openness, feedback, and continuous change. You have a natural ability to navigate complex stakeholder landscapes, establishing and nurturing relationships while communicating clearly and concisely with senior business and technology leaders. You possess a high degree of intellectual curiosity and a structured approach to problem solving, enabling you to think in hypotheses, tradeoffs, and outcomes. You understand how to balance AI capabilities with human oversight, knowing how to apply human judgment to direct AI tools effectively and move past anodyne outputs.
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten year old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX 1) is the first accelerator architected specifically for decode. Rack scale co design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. The Role We are looking for an Infrastructure Manager to build and lead the team responsible for the internal platform our entire organization depends on. You will own the compute, storage, networking, and CI/CD systems that our hardware, software, ML, and compiler engineers use to build, test, and collaborate daily. This is a high ownership role with the freedom to define our internal infrastructure, security standards, and technical operations from the ground up. You will guide your team to transform slow, manual workflows into fast, reproducible, and genuinely secure systems, while currently holding the reins for our foundational IT operations as the company expands. If you care equally about maximizing engineering velocity, establishing best in class security, and building a highly capable technical team, there is a massive amount of impactful work to dig into here. Responsibilities Day to day, you will guide your team and manage the strategic execution of our engineering platform and technical operations. This is a mix of strategic alignment, architectural guidance, and team enablement focused on: Team Leadership & Delivery: Directing the team in building provisioning automation, CI/CD pipelines, internal tooling, network design, and observability systems. Operational & IT Oversight: Ensuring your team effectively supports and unblocks engineers on complex build or connectivity issues, while also steering the broader IT function-including identity management, device fleets, and SaaS administration-as we scale through this current phase of growth. Security Posture: Championing a "secure by default" mindset across all infrastructure, endpoints, and access points. Cross Functional Collaboration: Partnering closely with engineering leaders (with compiler engineering as an early, demanding customer) to ensure the engineering platform and the wider company environment stay highly coherent and efficient. Skills & Experience Team Leadership & Management: Proven track record of managing, mentoring, and scaling high performing infrastructure, platform, or DevOps engineering teams. Deep Technical Foundation: A strong background as an engineer or architect in cloud computing, storage, and networking. You don't need to write every line of code, but you must be able to hold your own in architectural discussions and guide technical decisions. Developer Productivity & CI/CD: Experience overseeing the design and operation of robust build systems and CI/CD pipelines. Familiarity with the unique infrastructure demands of hardware, ML, or compiler engineering teams is a significant plus. Security & Access Management: Deep understanding of infrastructure security, identity and access management (IAM), and endpoint security. You instinctively build environments that are secure by default without destroying engineering velocity. IT Operations Oversight: Demonstrated ability to manage or oversee foundational IT functions, including device fleet management (MDM), SaaS administration, and corporate networking, particularly in a high growth environment. From Scratch Builder Mentality: Experience thriving in an early stage or rapidly scaling environment. You are comfortable defining strategy, establishing processes, and building a platform from the ground up rather than just maintaining legacy systems. Cross Functional Communication: Excellent ability to partner with diverse technical leaders across software, hardware, and IT, translating complex operational bottlenecks into clear, executable infrastructure strategies. Compensation & Equity Competitive Salary: Commensurate with your experience, skills, and location. Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it. Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living Local Bonus if your residence is within 20 minutes of the office. Retirement Benefits: Employer contributed retirement plans to help you build long term financial security. Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.
12/07/2026
Full time
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten year old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX 1) is the first accelerator architected specifically for decode. Rack scale co design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. The Role We are looking for an Infrastructure Manager to build and lead the team responsible for the internal platform our entire organization depends on. You will own the compute, storage, networking, and CI/CD systems that our hardware, software, ML, and compiler engineers use to build, test, and collaborate daily. This is a high ownership role with the freedom to define our internal infrastructure, security standards, and technical operations from the ground up. You will guide your team to transform slow, manual workflows into fast, reproducible, and genuinely secure systems, while currently holding the reins for our foundational IT operations as the company expands. If you care equally about maximizing engineering velocity, establishing best in class security, and building a highly capable technical team, there is a massive amount of impactful work to dig into here. Responsibilities Day to day, you will guide your team and manage the strategic execution of our engineering platform and technical operations. This is a mix of strategic alignment, architectural guidance, and team enablement focused on: Team Leadership & Delivery: Directing the team in building provisioning automation, CI/CD pipelines, internal tooling, network design, and observability systems. Operational & IT Oversight: Ensuring your team effectively supports and unblocks engineers on complex build or connectivity issues, while also steering the broader IT function-including identity management, device fleets, and SaaS administration-as we scale through this current phase of growth. Security Posture: Championing a "secure by default" mindset across all infrastructure, endpoints, and access points. Cross Functional Collaboration: Partnering closely with engineering leaders (with compiler engineering as an early, demanding customer) to ensure the engineering platform and the wider company environment stay highly coherent and efficient. Skills & Experience Team Leadership & Management: Proven track record of managing, mentoring, and scaling high performing infrastructure, platform, or DevOps engineering teams. Deep Technical Foundation: A strong background as an engineer or architect in cloud computing, storage, and networking. You don't need to write every line of code, but you must be able to hold your own in architectural discussions and guide technical decisions. Developer Productivity & CI/CD: Experience overseeing the design and operation of robust build systems and CI/CD pipelines. Familiarity with the unique infrastructure demands of hardware, ML, or compiler engineering teams is a significant plus. Security & Access Management: Deep understanding of infrastructure security, identity and access management (IAM), and endpoint security. You instinctively build environments that are secure by default without destroying engineering velocity. IT Operations Oversight: Demonstrated ability to manage or oversee foundational IT functions, including device fleet management (MDM), SaaS administration, and corporate networking, particularly in a high growth environment. From Scratch Builder Mentality: Experience thriving in an early stage or rapidly scaling environment. You are comfortable defining strategy, establishing processes, and building a platform from the ground up rather than just maintaining legacy systems. Cross Functional Communication: Excellent ability to partner with diverse technical leaders across software, hardware, and IT, translating complex operational bottlenecks into clear, executable infrastructure strategies. Compensation & Equity Competitive Salary: Commensurate with your experience, skills, and location. Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it. Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living Local Bonus if your residence is within 20 minutes of the office. Retirement Benefits: Employer contributed retirement plans to help you build long term financial security. Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.
Overview Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on Docker Agent ( ) and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. Location & Schedule This role is only available to candidates currently located in London (or a reasonable commuting distance to London). It is remote first with a flexible hybrid schedule. Docker does not offer visa sponsorship for this role. Responsibilities Build containerized agent systems: design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability. Expand cagent: maintain and evolve the open source cagent project, adding new capabilities for containerized agent deployment and orchestration. Agent runtime development: build robust infrastructure for packaging, deploying, and managing agents in containers. RAG integration: enhance agent capabilities with Retrieval Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus). Evaluation & testing: design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness. Rapid prototyping: iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently. Open source community: engage with the cagent community, review contributions, and help grow the ecosystem. Cross functional collaboration: work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. On call rotation: participate as needed in support outside of standard business hours. Qualifications Strong proficiency in Go (or the willingness and ability to ramp up). Practical experience with large language models and agent development. Proven ability to design scalable, distributed systems. Deep understanding of Docker, containerization best practices, and orchestration. Experience building Retrieval Augmented Generation systems (secondary focus). Demonstrated ability to prototype quickly and iterate based on feedback. Experience with AI frameworks such as CrewAI, AGNO, ADK, LangChain, LangGraph or similar (preferred). Python proficiency for AI prototyping and tooling (preferred). Experience with Kubernetes or other container orchestration platforms (preferred). Open source contributions and community engagement (preferred). Experience with agent evaluation, reliability, and observability techniques (preferred). What to Expect First 30 days: integrate into the AI engineering team, deep dive into Docker Agent architecture, contribute early enhancements, understand the technical stack, and collaborate with sister AI teams. First 90 days: lead significant features or improvements, enhance deployment capabilities, collaborate with the open source community, onboard new team members, and interact with internal stakeholders. One year outlook: drive major architectural decisions, help grow the team, contribute to evaluation frameworks, lead initiatives to expand containerized agent capabilities for enterprise use cases, and shape Docker's agent ecosystem. Benefits & Perks Freedom & flexibility; fit work around your life. Designated quarterly Whaleness Days plus end of year Whaleness break. Home office setup. 16 weeks of paid parental leave (after 6 months of employment). Technology stipend equivalent to $100 net/month. Paid time off plan encouraging rest. Training stipend for conferences, courses, and classes. Equity opportunities. Docker Swag. Medical benefits, retirement and holidays vary by country. Remote first culture, with offices in Seattle and Paris. Equal Employment Opportunity Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
12/07/2026
Full time
Overview Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on Docker Agent ( ) and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. Location & Schedule This role is only available to candidates currently located in London (or a reasonable commuting distance to London). It is remote first with a flexible hybrid schedule. Docker does not offer visa sponsorship for this role. Responsibilities Build containerized agent systems: design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability. Expand cagent: maintain and evolve the open source cagent project, adding new capabilities for containerized agent deployment and orchestration. Agent runtime development: build robust infrastructure for packaging, deploying, and managing agents in containers. RAG integration: enhance agent capabilities with Retrieval Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus). Evaluation & testing: design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness. Rapid prototyping: iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently. Open source community: engage with the cagent community, review contributions, and help grow the ecosystem. Cross functional collaboration: work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience. On call rotation: participate as needed in support outside of standard business hours. Qualifications Strong proficiency in Go (or the willingness and ability to ramp up). Practical experience with large language models and agent development. Proven ability to design scalable, distributed systems. Deep understanding of Docker, containerization best practices, and orchestration. Experience building Retrieval Augmented Generation systems (secondary focus). Demonstrated ability to prototype quickly and iterate based on feedback. Experience with AI frameworks such as CrewAI, AGNO, ADK, LangChain, LangGraph or similar (preferred). Python proficiency for AI prototyping and tooling (preferred). Experience with Kubernetes or other container orchestration platforms (preferred). Open source contributions and community engagement (preferred). Experience with agent evaluation, reliability, and observability techniques (preferred). What to Expect First 30 days: integrate into the AI engineering team, deep dive into Docker Agent architecture, contribute early enhancements, understand the technical stack, and collaborate with sister AI teams. First 90 days: lead significant features or improvements, enhance deployment capabilities, collaborate with the open source community, onboard new team members, and interact with internal stakeholders. One year outlook: drive major architectural decisions, help grow the team, contribute to evaluation frameworks, lead initiatives to expand containerized agent capabilities for enterprise use cases, and shape Docker's agent ecosystem. Benefits & Perks Freedom & flexibility; fit work around your life. Designated quarterly Whaleness Days plus end of year Whaleness break. Home office setup. 16 weeks of paid parental leave (after 6 months of employment). Technology stipend equivalent to $100 net/month. Paid time off plan encouraging rest. Training stipend for conferences, courses, and classes. Equity opportunities. Docker Swag. Medical benefits, retirement and holidays vary by country. Remote first culture, with offices in Seattle and Paris. Equal Employment Opportunity Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
WE ARE HIRING A HEAD OF PRODUCT MANAGEMENT Ever opened a new bank account and got a weekend away? Spent on fashion and received a personal styling session? Picked up groceries and walked away with cinema tickets? If so, you've probably experienced a TLC Worldwide campaign - without even knowing it. At TLC, we help the world's biggest brands drive customer acquisition, loyalty and engagement with emotionally engaging, experience-led rewards. From global banks to high street retailers, our programs are designed shift behaviour, boost ROI and build genuine brand love - at the fraction of the cost of discounting and cash offers. Backed by COSMOS, our all-in-one program platform, we deliver personalised campaigns at scale with live data, smart insights, and seamless customer journeys. We've spent 30 years mastering what moves customers; combining deep consumer insight, a global network of 100,000+ rewards, and a unique ability to drive measurable ROI for brands. We're 400+ people strong, across 15 global hubs. A collective of marketers, creatives and strategists who care about doing great work - and having fun while we do it. We celebrate bold thinking, empower growth, and champion the kind of culture that helps people thrive. Here are a few things that we've got to offer: Dynamic & collaborative team in a creative environment with exposure to global clients & colleagues - Check out our clients Weekly webinars to support your development through our People Academy Annual TLC Wellness Week and programmes throughout the year TLC Culture Club - including seasonal social events, tasty lunches & more TLC Gives Back - volunteering opportunities, including off site visits and volunteering leave TLC Rise - supporting and empowering women into leadership roles 'Frankies' - Our very own awards ceremony where we walk down the TLC red carpet in our best outfits TLC Owner's Club - Everyone that is part of the TLC experience contributes to our success, which is why we all own a piece of TLC as part of our share holder scheme As we continue to evolve our proprietary technology platform, Cosmos, we're looking for a visionary and commercially driven Head of Product Management to shape the next generation of customer engagement, marketing intelligence, data and AI-powered experiences. This is a rare opportunity to define the future of a mission-critical global platform that sits at the heart of our business, powering experiences for millions of consumers and supporting teams across our international network. You'll establish world-class product management disciplines, build a clear and commercially focused roadmap, and lead a growing product function that delivers innovative, scalable and customer centric solutions across our internal, B2B and B2C ecosystems. Working closely with executive stakeholders, engineering, operations, data, commercial and client facing teams, you'll help define how TLC leverages technology, data and AI to create competitive advantage, improve operational efficiency and deliver exceptional experiences for our clients and consumers. This is both a strategic and hands on leadership role, requiring someone who can think long term while delivering meaningful impact today. In this role, you'll: Build a product led culture across TLC Worldwide. Deliver a clear, prioritised and commercially aligned roadmap. Accelerate the integration of AI, automation and data driven capabilities. Increase adoption and value realisation across internal and client facing products. Develop a high performing Product Management team that scales with the business. Position Cosmos as a strategic competitive advantage for TLC globally. What you'll be doing: Shape the Product Vision Define and own the long term product vision and strategic roadmap for Cosmos. Translate business priorities into a clear product strategy and investment plan. Identify emerging technologies, market opportunities and customer needs that drive innovation. Lead the evolution of capabilities across AI, data, marketing intelligence and customer engagement. Balance immediate business requirements with long term platform scalability and growth. Build a High Performing Product Function Establish robust product management frameworks, governance and best practices. Develop and mentor Product Managers and Product Owners. Create a culture of accountability, innovation, customer focus and continuous improvement. Embed product thinking and customer centric decision making across the organisation. Define prioritisation frameworks and operating principles that support effective decision making. Drive Delivery and Platform Growth Own and prioritise the Cosmos roadmap and product backlog. Partner closely with Engineering, Design and Data teams to deliver high quality solutions. Lead end to end product delivery across platforms, applications, integrations and digital experiences. Balance innovation initiatives with platform stability, technical excellence and operational efficiency. Ensure delivery is aligned to business outcomes, customer value and commercial priorities. Lead AI and Data Innovation Drive the adoption of AI enabled products and intelligent automation across the platform. Leverage customer, behavioural and operational insights to inform product decisions. Identify opportunities for personalisation, optimisation and smarter decision making. Ensure Cosmos remains a future ready, scalable and data driven platform. Influence at Executive Level Build trusted relationships with senior stakeholders across the business. Present product strategies, roadmaps, investment cases and performance metrics to senior leadership. Translate complex technical concepts into compelling business narratives. Challenge assumptions, align priorities and influence strategic decisions. Act as the voice and advocate for Cosmos across TLC Worldwide. Champion Customer Experience Ensure a relentless focus on user needs and customer outcomes. Partner with commercial and marketing teams on launches, adoption and go to market plans. Develop training and enablement strategies that maximise product value. Continuously monitor engagement, adoption, satisfaction and business impact. Who we're looking for: Essential Experience Significant experience in Product Management, including leadership responsibility for digital products and platforms. Proven success developing product strategy and delivering measurable business outcomes. Experience leading cross functional teams across Engineering, Design, Data and Commercial functions. Strong understanding of Agile methodologies and modern product management practices. Experience establishing governance, structure and scalable product operating models. Track record delivering web platforms, applications and customer facing digital products. Strong commercial acumen with the ability to balance customer needs, business priorities and technical considerations. Experience working with distributed and offshore development teams. Exceptional stakeholder management and executive communication skills. Data driven decision making experience using customer insights and analytics. Desirable Experience Customer engagement, loyalty, rewards, MarTech or customer experience platforms. AI powered products, automation and personalisation technologies. Marketing intelligence or data rich product environments. Scaling product functions within high growth organisations. Product Management, Agile or Scrum certifications. You're someone who: Thinks strategically but isn't afraid to roll up your sleeves. Is naturally curious and enjoys challenging the status quo. Brings energy, pragmatism and a solutions first mindset. Thrives in fast moving environments where priorities evolve. Builds trust and credibility with stakeholders at every level. Leads through collaboration, influence and inspiration. Takes ownership and accountability for outcomes. Is passionate about creating exceptional user and customer experiences. Being a people led business, we hire upon values and believe that our people are what make the beloved TLC culture so unique. At TLC we aim to create a 'world within the world' that is free from prejudice, bias and inequity. A world where diversity is valued and celebrated, and where we work hard to ensure all our wonderful people are given equal opportunity to succeed. If you're excited by everything we've told you, then it's time to apply!
12/07/2026
Full time
WE ARE HIRING A HEAD OF PRODUCT MANAGEMENT Ever opened a new bank account and got a weekend away? Spent on fashion and received a personal styling session? Picked up groceries and walked away with cinema tickets? If so, you've probably experienced a TLC Worldwide campaign - without even knowing it. At TLC, we help the world's biggest brands drive customer acquisition, loyalty and engagement with emotionally engaging, experience-led rewards. From global banks to high street retailers, our programs are designed shift behaviour, boost ROI and build genuine brand love - at the fraction of the cost of discounting and cash offers. Backed by COSMOS, our all-in-one program platform, we deliver personalised campaigns at scale with live data, smart insights, and seamless customer journeys. We've spent 30 years mastering what moves customers; combining deep consumer insight, a global network of 100,000+ rewards, and a unique ability to drive measurable ROI for brands. We're 400+ people strong, across 15 global hubs. A collective of marketers, creatives and strategists who care about doing great work - and having fun while we do it. We celebrate bold thinking, empower growth, and champion the kind of culture that helps people thrive. Here are a few things that we've got to offer: Dynamic & collaborative team in a creative environment with exposure to global clients & colleagues - Check out our clients Weekly webinars to support your development through our People Academy Annual TLC Wellness Week and programmes throughout the year TLC Culture Club - including seasonal social events, tasty lunches & more TLC Gives Back - volunteering opportunities, including off site visits and volunteering leave TLC Rise - supporting and empowering women into leadership roles 'Frankies' - Our very own awards ceremony where we walk down the TLC red carpet in our best outfits TLC Owner's Club - Everyone that is part of the TLC experience contributes to our success, which is why we all own a piece of TLC as part of our share holder scheme As we continue to evolve our proprietary technology platform, Cosmos, we're looking for a visionary and commercially driven Head of Product Management to shape the next generation of customer engagement, marketing intelligence, data and AI-powered experiences. This is a rare opportunity to define the future of a mission-critical global platform that sits at the heart of our business, powering experiences for millions of consumers and supporting teams across our international network. You'll establish world-class product management disciplines, build a clear and commercially focused roadmap, and lead a growing product function that delivers innovative, scalable and customer centric solutions across our internal, B2B and B2C ecosystems. Working closely with executive stakeholders, engineering, operations, data, commercial and client facing teams, you'll help define how TLC leverages technology, data and AI to create competitive advantage, improve operational efficiency and deliver exceptional experiences for our clients and consumers. This is both a strategic and hands on leadership role, requiring someone who can think long term while delivering meaningful impact today. In this role, you'll: Build a product led culture across TLC Worldwide. Deliver a clear, prioritised and commercially aligned roadmap. Accelerate the integration of AI, automation and data driven capabilities. Increase adoption and value realisation across internal and client facing products. Develop a high performing Product Management team that scales with the business. Position Cosmos as a strategic competitive advantage for TLC globally. What you'll be doing: Shape the Product Vision Define and own the long term product vision and strategic roadmap for Cosmos. Translate business priorities into a clear product strategy and investment plan. Identify emerging technologies, market opportunities and customer needs that drive innovation. Lead the evolution of capabilities across AI, data, marketing intelligence and customer engagement. Balance immediate business requirements with long term platform scalability and growth. Build a High Performing Product Function Establish robust product management frameworks, governance and best practices. Develop and mentor Product Managers and Product Owners. Create a culture of accountability, innovation, customer focus and continuous improvement. Embed product thinking and customer centric decision making across the organisation. Define prioritisation frameworks and operating principles that support effective decision making. Drive Delivery and Platform Growth Own and prioritise the Cosmos roadmap and product backlog. Partner closely with Engineering, Design and Data teams to deliver high quality solutions. Lead end to end product delivery across platforms, applications, integrations and digital experiences. Balance innovation initiatives with platform stability, technical excellence and operational efficiency. Ensure delivery is aligned to business outcomes, customer value and commercial priorities. Lead AI and Data Innovation Drive the adoption of AI enabled products and intelligent automation across the platform. Leverage customer, behavioural and operational insights to inform product decisions. Identify opportunities for personalisation, optimisation and smarter decision making. Ensure Cosmos remains a future ready, scalable and data driven platform. Influence at Executive Level Build trusted relationships with senior stakeholders across the business. Present product strategies, roadmaps, investment cases and performance metrics to senior leadership. Translate complex technical concepts into compelling business narratives. Challenge assumptions, align priorities and influence strategic decisions. Act as the voice and advocate for Cosmos across TLC Worldwide. Champion Customer Experience Ensure a relentless focus on user needs and customer outcomes. Partner with commercial and marketing teams on launches, adoption and go to market plans. Develop training and enablement strategies that maximise product value. Continuously monitor engagement, adoption, satisfaction and business impact. Who we're looking for: Essential Experience Significant experience in Product Management, including leadership responsibility for digital products and platforms. Proven success developing product strategy and delivering measurable business outcomes. Experience leading cross functional teams across Engineering, Design, Data and Commercial functions. Strong understanding of Agile methodologies and modern product management practices. Experience establishing governance, structure and scalable product operating models. Track record delivering web platforms, applications and customer facing digital products. Strong commercial acumen with the ability to balance customer needs, business priorities and technical considerations. Experience working with distributed and offshore development teams. Exceptional stakeholder management and executive communication skills. Data driven decision making experience using customer insights and analytics. Desirable Experience Customer engagement, loyalty, rewards, MarTech or customer experience platforms. AI powered products, automation and personalisation technologies. Marketing intelligence or data rich product environments. Scaling product functions within high growth organisations. Product Management, Agile or Scrum certifications. You're someone who: Thinks strategically but isn't afraid to roll up your sleeves. Is naturally curious and enjoys challenging the status quo. Brings energy, pragmatism and a solutions first mindset. Thrives in fast moving environments where priorities evolve. Builds trust and credibility with stakeholders at every level. Leads through collaboration, influence and inspiration. Takes ownership and accountability for outcomes. Is passionate about creating exceptional user and customer experiences. Being a people led business, we hire upon values and believe that our people are what make the beloved TLC culture so unique. At TLC we aim to create a 'world within the world' that is free from prejudice, bias and inequity. A world where diversity is valued and celebrated, and where we work hard to ensure all our wonderful people are given equal opportunity to succeed. If you're excited by everything we've told you, then it's time to apply!
London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. Key responsibilities span the following areas. Engagement Leadership Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. Business Development & Bid Support Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. Contribute to proposal writing, articulating Baringa's capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow on engagement. Support practice-level growth initiatives, including account planning, capability development, and go to market positioning for AI and solutions engineering services. Technical Architecture & Delivery Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. Provide hands on technical direction when required- reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof of concept thinking to real business impact at scale. Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others. Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role - including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes. Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Proven ability to build and lead high performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director levels. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. . click apply for full job details
12/07/2026
Full time
London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. Key responsibilities span the following areas. Engagement Leadership Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. Business Development & Bid Support Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. Contribute to proposal writing, articulating Baringa's capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow on engagement. Support practice-level growth initiatives, including account planning, capability development, and go to market positioning for AI and solutions engineering services. Technical Architecture & Delivery Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. Provide hands on technical direction when required- reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof of concept thinking to real business impact at scale. Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others. Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role - including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes. Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Proven ability to build and lead high performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director levels. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. . click apply for full job details
Enterprise Architect - Artificial Intelligence AI/ML Infrastructure, Platform & Governance Role Summary World Wide Technology is looking for a deeply technical Enterprise Architect who will own the delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams for client engagements, acting as the single point of technical accountability from design through to go-live, while mentoring delivery teams and shaping WWT's broader AI point of view. Key Responsibilities Own end-to-end technical delivery of AI/ML engagements: architecture definition, design authority, build oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for AI engagements, owning governance gates, decision records, and design sign-off. Architect AI infrastructure spanning GPU/accelerator compute, high-performance interconnects ,parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/IEC 42001). Act as trusted technical advisor to client CTOs, CIOs and Heads of Data/AI on platform strategy, build-vs-buy decisions, and AI operating model design. Lead technical workshops, architecture design sessions, and proof-of-concept builds with cross-functional engineering, data science, and security teams. Serve as the technical escalation point for delivery teams; unblock design and implementation issues under time pressure. Mentor other architects and engineers on AI systems design, uplifting AI depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms to existing enterprise networks, third-party systems, and external or service-provider-hosted environments (e.g. colocation, managed GPU-as-a-service, external inference endpoints). Track the fast-moving AI landscape - new model architectures, silicon, frameworks and regulation - and translate relevant developments into WWT's delivery methodology and client recommendations. Required Technical Skills & Experience Experience Baseline 10+ years in enterprise architecture, infrastructure engineering, or platform engineering roles. 5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads. Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center Infrastructure GPU/accelerator architectures: NVIDIA / AMD, including multi-node scale-out design. Accelerator interconnects: NVLink, NVSwitch High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail-optimized topologies for AI clusters. Data center facilities: power density, liquid cooling, and rack-level design considerations specific to AI compute. Storage: parallel and high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads. AI Software, MLOps & Generative AI ML frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters. CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production. Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana, and related telemetry stacks for GPU utilization, thermal, and cluster health monitoring. Model & LLM observability: production model performance monitoring, data/concept drift detection, and LLM-specific observability (token usage, latency, cost, hallucination/quality metrics) using tools such as Arize, WhyLabs, or Langfuse. Logging & tracing: centralized logging (ELK/OpenSearch) and distributed tracing (OpenTelemetry) across data, training, and inference pipelines for end-to-end root cause analysis. Integration - AI Stack, Enterprise Networks & Service Provider Environments Platform integration: API-based and event-driven integration of AI platforms with enterprise systems, using REST/gRPC APIs and message/event streaming platforms (e.g. Kafka). Enterprise network integration: designing connectivity between AI/GPU infrastructure and existing campus, data center, and WAN environments, including capacity and latency planning for east west training traffic and north south inference traffic. Hybrid & multi-cloud connectivity: integrating on-premises AI platforms with cloud AI services via dedicated interconnects (Direct Connect, ExpressRoute) and multi-cloud/hybrid connectivity patterns for distributed training or burst inference. Service provider & third party integration: experience architecting connections into external or service provider hosted environments - colocation interconnects, managed GPU-as-a-service offerings, and third party/external inference endpoints - including the commercial and technical boundary considerations involved. Secure exposure of AI services: working knowledge of API gateways, service mesh, and mutual TLS as applied to exposing or consuming AI services safely across organizational and network boundaries. Cross-functional design: proven ability to partner directly with network and security architects to define end to end integration architecture spanning AI platforms, enterprise networks, and external/customer environments. Working knowledge of model risk management frameworks and responsible AI principles (fairness, explainability, human oversight). Familiarity with data privacy regulation (GDPR, CCPA) as applied to AI training and inference data. Working knowledge of emerging AI specific regulation and standards: EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001. Experience establishing model documentation, audit trail, and approval gate processes for production AI systems. Security & Cloud AI specific security fundamentals: model security, prompt injection defenses, supply chain security for open source/open weight models. Solutions architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on premises/cloud AI deployments, including data residency and sovereignty constraints. Architecture Governance & Design Authority Proven experience hosting and chairing formal Architecture Review Board (ARB) and Technical Design Authority (TDA) forums, including agenda ownership, decision logging, and stakeholder facilitation. Ability to define and operate governance gates across the engagement lifecycle: design authority sign off, change control, and exception/waiver management for AI platform decisions. Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance. . click apply for full job details
12/07/2026
Full time
Enterprise Architect - Artificial Intelligence AI/ML Infrastructure, Platform & Governance Role Summary World Wide Technology is looking for a deeply technical Enterprise Architect who will own the delivery of AI projects end to end from the silicon and data center design that underpins AI workloads, through the software and MLOps stack, to the governance frameworks that make AI trustworthy and defensible at scale. This is a technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams for client engagements, acting as the single point of technical accountability from design through to go-live, while mentoring delivery teams and shaping WWT's broader AI point of view. Key Responsibilities Own end-to-end technical delivery of AI/ML engagements: architecture definition, design authority, build oversight, and go-live validation. Host and chair Architecture Review Board (ARB) and Technical Design Authority (TDA) sessions for AI engagements, owning governance gates, decision records, and design sign-off. Architect AI infrastructure spanning GPU/accelerator compute, high-performance interconnects ,parallel/high-throughput storage, and orchestration Design the AI software stack: training and fine-tuning pipelines, distributed training frameworks, inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/IEC 42001). Act as trusted technical advisor to client CTOs, CIOs and Heads of Data/AI on platform strategy, build-vs-buy decisions, and AI operating model design. Lead technical workshops, architecture design sessions, and proof-of-concept builds with cross-functional engineering, data science, and security teams. Serve as the technical escalation point for delivery teams; unblock design and implementation issues under time pressure. Mentor other architects and engineers on AI systems design, uplifting AI depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms to existing enterprise networks, third-party systems, and external or service-provider-hosted environments (e.g. colocation, managed GPU-as-a-service, external inference endpoints). Track the fast-moving AI landscape - new model architectures, silicon, frameworks and regulation - and translate relevant developments into WWT's delivery methodology and client recommendations. Required Technical Skills & Experience Experience Baseline 10+ years in enterprise architecture, infrastructure engineering, or platform engineering roles. 5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads. Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center Infrastructure GPU/accelerator architectures: NVIDIA / AMD, including multi-node scale-out design. Accelerator interconnects: NVLink, NVSwitch High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail-optimized topologies for AI clusters. Data center facilities: power density, liquid cooling, and rack-level design considerations specific to AI compute. Storage: parallel and high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads. AI Software, MLOps & Generative AI ML frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters. CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production. Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana, and related telemetry stacks for GPU utilization, thermal, and cluster health monitoring. Model & LLM observability: production model performance monitoring, data/concept drift detection, and LLM-specific observability (token usage, latency, cost, hallucination/quality metrics) using tools such as Arize, WhyLabs, or Langfuse. Logging & tracing: centralized logging (ELK/OpenSearch) and distributed tracing (OpenTelemetry) across data, training, and inference pipelines for end-to-end root cause analysis. Integration - AI Stack, Enterprise Networks & Service Provider Environments Platform integration: API-based and event-driven integration of AI platforms with enterprise systems, using REST/gRPC APIs and message/event streaming platforms (e.g. Kafka). Enterprise network integration: designing connectivity between AI/GPU infrastructure and existing campus, data center, and WAN environments, including capacity and latency planning for east west training traffic and north south inference traffic. Hybrid & multi-cloud connectivity: integrating on-premises AI platforms with cloud AI services via dedicated interconnects (Direct Connect, ExpressRoute) and multi-cloud/hybrid connectivity patterns for distributed training or burst inference. Service provider & third party integration: experience architecting connections into external or service provider hosted environments - colocation interconnects, managed GPU-as-a-service offerings, and third party/external inference endpoints - including the commercial and technical boundary considerations involved. Secure exposure of AI services: working knowledge of API gateways, service mesh, and mutual TLS as applied to exposing or consuming AI services safely across organizational and network boundaries. Cross-functional design: proven ability to partner directly with network and security architects to define end to end integration architecture spanning AI platforms, enterprise networks, and external/customer environments. Working knowledge of model risk management frameworks and responsible AI principles (fairness, explainability, human oversight). Familiarity with data privacy regulation (GDPR, CCPA) as applied to AI training and inference data. Working knowledge of emerging AI specific regulation and standards: EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001. Experience establishing model documentation, audit trail, and approval gate processes for production AI systems. Security & Cloud AI specific security fundamentals: model security, prompt injection defenses, supply chain security for open source/open weight models. Solutions architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on premises/cloud AI deployments, including data residency and sovereignty constraints. Architecture Governance & Design Authority Proven experience hosting and chairing formal Architecture Review Board (ARB) and Technical Design Authority (TDA) forums, including agenda ownership, decision logging, and stakeholder facilitation. Ability to define and operate governance gates across the engagement lifecycle: design authority sign off, change control, and exception/waiver management for AI platform decisions. Experience producing and maintaining architecture decision records (ADRs), design standards, and reference architectures that are actively enforced through ARB/TDA governance. . click apply for full job details
We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real world business problems. Recognize that cross functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch and learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. PIMCO is seeking a Senior Forward Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform. The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools - including LLM based assistants, agentic workflows, and internal AI platforms - across its investment teams. The Forward Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap. Responsibilities AI Deployment, Enablement & Adoption Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research. Deliver hands on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations. Embed with PM and Analytics teams to understand investment and research workflows, identify high value AI use cases, and build proofs of concept that demonstrate impact. Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team. Identify patterns across PM and Analytics teams to surface high impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support - Lane Assist / POET Provide first line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users. Diagnose, resolve, or escalate production issues, coordinating handoffs with US based engineering and support teams. Maintain runbooks, support documentation, and known issue logs to improve supportability and reduce time to resolution. Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently. Qualifications BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field. 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production quality code. Demonstrated experience deploying technology directly with end users in a forward deployed, solutions engineering, or customer/field engineering capacity. Excellent communication skills, with a proven ability to teach technical concepts to both technical and non technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good to have: experience with production support or SRE style operations, SQL/Snowflake, data pipelines, or web applications. Additional Skills Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office. High empathy for users and genuine enthusiasm for driving adoption and behavioral change. Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype. Comfortable balancing strategic enablement work with hands on operational support in a fast paced financial environment. Equal Employment Opportunity and Affermative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.
12/07/2026
Full time
We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance. You Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning. Love solving complex real world business problems. Recognize that cross functional collaboration is a core component of success for the team. Believe there are multiple ways to solve most technical problems and are willing to debate the trade offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest in a high performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued. Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams. Run technology pro bono programs that help the non profit community and give our engineering community opportunities to volunteer and participate. Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion. Embrace knowledge sharing through lunch and learns, demos, and technical forums. Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions. PIMCO is seeking a Senior Forward Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into the roadmap for the PM AI platform. The role also carries operational responsibility for supporting Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools - including LLM based assistants, agentic workflows, and internal AI platforms - across its investment teams. The Forward Deployed AI Engineer sits at the intersection of users and the PM AI platform, with a focus on Portfolio Management and Analytics (including Quant and Research): embedding directly with these teams, configuring and deploying AI tooling for their workflows, teaching effective use, and feeding structured requirements back to the platform team to drive the PM AI platform roadmap. Responsibilities AI Deployment, Enablement & Adoption Onboard and configure AI tools (LLM assistants, agentic coding tools, retrieval augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research. Deliver hands on training, office hours, demos, and documentation that teach effective and responsible use of AI tooling, including prompting practices, workflow integration, and limitations. Embed with PM and Analytics teams to understand investment and research workflows, identify high value AI use cases, and build proofs of concept that demonstrate impact. Collect, structure, and synthesize user feedback, pain points, and feature requests from PM and Analytics users; translate them into clear requirements and prioritized recommendations for the PM AI platform team. Identify patterns across PM and Analytics teams to surface high impact opportunities, quantify potential impact, and drive the PM AI platform roadmap; flag use cases with broader applicability to the wider AI organization. Champion responsible AI usage, ensuring deployments adhere to firm policies on data security, model governance, and compliance. European Hours Production Support - Lane Assist / POET Provide first line support for Lane Assist and the Portfolio Optimization Engine Technology (POET) platform during European business hours, triaging issues raised by Portfolio Managers and other users. Diagnose, resolve, or escalate production issues, coordinating handoffs with US based engineering and support teams. Maintain runbooks, support documentation, and known issue logs to improve supportability and reduce time to resolution. Build familiarity with POET's data pipelines, optimization workflows, and APIs sufficient to investigate issues independently. Qualifications BS/MS in Computer Science, Mathematics, Engineering, or a related quantitative field. 8+ years of experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production quality code. Demonstrated experience deploying technology directly with end users in a forward deployed, solutions engineering, or customer/field engineering capacity. Excellent communication skills, with a proven ability to teach technical concepts to both technical and non technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good to have: experience with production support or SRE style operations, SQL/Snowflake, data pipelines, or web applications. Additional Skills Strong ownership mindset with the ability to operate independently as the senior AI presence in a regional office. High empathy for users and genuine enthusiasm for driving adoption and behavioral change. Intellectual curiosity about the rapidly evolving AI landscape and discipline to separate durable capabilities from hype. Comfortable balancing strategic enablement work with hands on operational support in a fast paced financial environment. Equal Employment Opportunity and Affermative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.
