About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast paced scale up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We're hiring a GTM Engineer to architect and build the systems that power our commercial organisation. This is a senior individual contributor role for someone who thinks in systems and data. You build for scale and treat manual work as a problem to be solved, not a task to be done. You'll own the design and implementation of GTM infrastructure across our commercial stack: HubSpot, Gong, Outreach, our enrichment tools, and the AI tooling we're increasingly weaving into how we sell. You'll partner with the Sales leaders, Head of Revenue Operations to set technical direction, and work alongside our RevOps Analyst and Sales Enablement Manager to deliver outcomes. The brief is straightforward: anything that is consuming significant time by our commercial teams (SDR, AE and Account Management) should be automated if possible. Anything that requires judgement should be augmented with the best tooling available. Sales should spend their time selling. This role exists because we want to build operating leverage and give our commercial team superpowers through automation and AI. If you've been waiting for a role where the mandate is "build it properly," this is it. What you'll be doing Build commercial infrastructure that scales. Design and implement workflows in HubSpot and across our wider stack that handle routing, scoring, enrichment, lifecycle management, and handoffs without manual intervention. Replace bespoke one off work with templated, repeatable systems. Level up the solution architecture capabilities across the team. Own the enrichment and data quality layer. Take ownership of our enrichment stack (currently ZoomInfo, LinkedIn Sales Navigator, and with planned additions potentially including other tools such as Clay or CommonRoom). Build pipelines that produce clean, accurate, fit scored data. Set the standard for what good data looks like at Xelix. Automate reporting. Templatise it and build dashboards and models that require minimal manual updating. Build AI augmented workflows. Our investors and leadership are bullish on AI, and so are we. You'll prototype and deploy AI agents and LLM powered tooling for tasks like lead qualification, account research, RFP response, call analysis, and content generation. You'll have latitude to experiment, but production deployments need to be reliable, secure, and measurably better than what they replace. Level up our technical capabilities. Work with other members of the team to level up their technical sophistication and help them design and deploy effective processes. What you'll bring You probably won't have done all of these, but you should have done most: Hands on AI/LLM experience. You've built or deployed AI agents, used LLM APIs in production workflows, or integrated AI tooling into commercial processes. This might include Claude, MCP tools, or an agent building tool. You're discerning about how to use LLMs, and understand where LLMs add value and where they don't. Data enrichment expertise. You've worked with enrichment platforms, understand match logic and deduplication, and have opinions about what good data quality looks like. You've cleaned up other people's messes before. A builder's mindset. When you see manual work, you immediately think about how to automate it. You'd rather spend two days building something repeatable than two hours doing it manually. Good commercial instincts. You understand B2B SaaS sales motions, how SDRs and AEs actually work, and what makes commercial teams effective. You're not building in isolation, but to make the business better. Senior IC operating style. You can scope work, prioritise, push back when needed, and ship without close oversight. You're comfortable being the technical SME on a small team. Technical depth (at least one of these): A track record of building commercial systems at scale. You've architected workflows in HubSpot (ideally), or Salesforce that go beyond standard configuration: custom objects, complex routing, lifecycle automation, integrations with multiple tools. We'll want to see specific examples. Or, fluency with low code automation platforms. You've built things in tools like Clay, n8n, Make, Zapier, or similar. You know which to reach for and when. If you've stood up Clay specifically, that's a strong signal. Or, significant data wrangling skills. The ability to write SQL or Python is a plus. You can build complex models in spreadsheets at a high level of proficiency. What we offer in return Competitive salary depending on experience. 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days. Hybrid working with three days a week from our dog friendly Hoxton office and on site gym. Comprehensive private medical & dental cover with Vitality. Enhanced parental leave pay. Learning & development culture - £1,000 personal annual budget. We're carbon neutral and are working towards ambitious carbon reduction goals. Lots of team socials & activities. Annual team retreat. We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. We are not currently planning on expanding our list of recruiting agencies. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
11/06/2026
Full time
About us At Xelix, we work with some of the world's largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast paced scale up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together. In this role you'll grow, be challenged and help shape the future of Xelix. If you're excited about building something special with us, we'd love to hear from you. About the role We're hiring a GTM Engineer to architect and build the systems that power our commercial organisation. This is a senior individual contributor role for someone who thinks in systems and data. You build for scale and treat manual work as a problem to be solved, not a task to be done. You'll own the design and implementation of GTM infrastructure across our commercial stack: HubSpot, Gong, Outreach, our enrichment tools, and the AI tooling we're increasingly weaving into how we sell. You'll partner with the Sales leaders, Head of Revenue Operations to set technical direction, and work alongside our RevOps Analyst and Sales Enablement Manager to deliver outcomes. The brief is straightforward: anything that is consuming significant time by our commercial teams (SDR, AE and Account Management) should be automated if possible. Anything that requires judgement should be augmented with the best tooling available. Sales should spend their time selling. This role exists because we want to build operating leverage and give our commercial team superpowers through automation and AI. If you've been waiting for a role where the mandate is "build it properly," this is it. What you'll be doing Build commercial infrastructure that scales. Design and implement workflows in HubSpot and across our wider stack that handle routing, scoring, enrichment, lifecycle management, and handoffs without manual intervention. Replace bespoke one off work with templated, repeatable systems. Level up the solution architecture capabilities across the team. Own the enrichment and data quality layer. Take ownership of our enrichment stack (currently ZoomInfo, LinkedIn Sales Navigator, and with planned additions potentially including other tools such as Clay or CommonRoom). Build pipelines that produce clean, accurate, fit scored data. Set the standard for what good data looks like at Xelix. Automate reporting. Templatise it and build dashboards and models that require minimal manual updating. Build AI augmented workflows. Our investors and leadership are bullish on AI, and so are we. You'll prototype and deploy AI agents and LLM powered tooling for tasks like lead qualification, account research, RFP response, call analysis, and content generation. You'll have latitude to experiment, but production deployments need to be reliable, secure, and measurably better than what they replace. Level up our technical capabilities. Work with other members of the team to level up their technical sophistication and help them design and deploy effective processes. What you'll bring You probably won't have done all of these, but you should have done most: Hands on AI/LLM experience. You've built or deployed AI agents, used LLM APIs in production workflows, or integrated AI tooling into commercial processes. This might include Claude, MCP tools, or an agent building tool. You're discerning about how to use LLMs, and understand where LLMs add value and where they don't. Data enrichment expertise. You've worked with enrichment platforms, understand match logic and deduplication, and have opinions about what good data quality looks like. You've cleaned up other people's messes before. A builder's mindset. When you see manual work, you immediately think about how to automate it. You'd rather spend two days building something repeatable than two hours doing it manually. Good commercial instincts. You understand B2B SaaS sales motions, how SDRs and AEs actually work, and what makes commercial teams effective. You're not building in isolation, but to make the business better. Senior IC operating style. You can scope work, prioritise, push back when needed, and ship without close oversight. You're comfortable being the technical SME on a small team. Technical depth (at least one of these): A track record of building commercial systems at scale. You've architected workflows in HubSpot (ideally), or Salesforce that go beyond standard configuration: custom objects, complex routing, lifecycle automation, integrations with multiple tools. We'll want to see specific examples. Or, fluency with low code automation platforms. You've built things in tools like Clay, n8n, Make, Zapier, or similar. You know which to reach for and when. If you've stood up Clay specifically, that's a strong signal. Or, significant data wrangling skills. The ability to write SQL or Python is a plus. You can build complex models in spreadsheets at a high level of proficiency. What we offer in return Competitive salary depending on experience. 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days. Hybrid working with three days a week from our dog friendly Hoxton office and on site gym. Comprehensive private medical & dental cover with Vitality. Enhanced parental leave pay. Learning & development culture - £1,000 personal annual budget. We're carbon neutral and are working towards ambitious carbon reduction goals. Lots of team socials & activities. Annual team retreat. We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! This is a full time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. We are not currently planning on expanding our list of recruiting agencies. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
Condukt is seeking a Forward Deployed Engineer in Greater London. In this role, you'll work directly with clients to design, deploy, and enhance solutions using our platform, influencing the product roadmap based on customer insights. The ideal candidate will have over 3 years of experience in software engineering with a focus on direct customer engagement. Condukt offers competitive salary, equity, and a collaborative work environment in either London or Porto. Apply via email at .
11/06/2026
Full time
Condukt is seeking a Forward Deployed Engineer in Greater London. In this role, you'll work directly with clients to design, deploy, and enhance solutions using our platform, influencing the product roadmap based on customer insights. The ideal candidate will have over 3 years of experience in software engineering with a focus on direct customer engagement. Condukt offers competitive salary, equity, and a collaborative work environment in either London or Porto. Apply via email at .
About MiFinity: MiFinity is a dynamic, licensed, and regulated fintech leader offering cost-effective, end-to-end payment solutions for businesses, merchants, and consumers. With over 20 years of experience in online payments, we have built a highly secure technology platform and a growing global network of financial and banking partners. Our core service, the MiFinity eWallet, enables seamless money transfers worldwide through our extensive bank network and local payment options. As we continue to expand across multiple global verticals, we foster a collaborative, inclusive work environment while maintaining a start-up culture that values flexibility, autonomy, and innovation across all of our offices in Dublin, Malta, and Belfast. We are currently looking for a candidate to join our team to help accelerate our platform migration to AWS ECS using Terraform, GitHub Actions and Datadog. Over the last 6 months, our team has successfully deployed Datadog as our observability platform, achieving 95% monitoring coverage across all services and significantly improving our incident response capabilities. Moving forward, we're focused on completing our ECS migration, implementing advanced GitOps workflows, and building self-service developer platforms to enhance our engineering velocity. Benefits: Private Healthcare plan post probation. Generous Pension Scheme. Remote work allowance post probation beginning at 3 weeks in year 1 and increasing with tenure. Additional special leave days such as extra day for birthday/moving home, extra days for marriage, graduation, citizenship ceremony. Study and Exam Leave to further support career and educational growth. Continuous Development Program sponsoring further education through courses and workshops. Responsibilities: Design and implement our Kubernetes (ECS) platform on AWS Maintain and optimise our CI/CD pipelines using GitHub Actions Implement and manage observability using Datadog across our platform Support and enhance our AWS cloud infrastructure Architect, review, audit, optimise and document our deployment processes Follow best practice change management processes aligned with our ISO27001 and PCI-DSS requirements Work with development teams to enable self-service capabilities (developer experience) Assist with incident response and platform support Analyse and optimize cloud costs across our infrastructure Core Skills: 3+ years' experience in a senior AWS platform/DevOps engineering role Experience designing AWS multi-region, highly available architectures Strong Kubernetes experience, particularly with AWS ECS Strong experience working with AWS ECS docker migrations Experience implementing and managing Datadog observability Strong AWS knowledge across compute, database and security services Experience with Infrastructure as Code using Terraform Solid understanding of container security and best practices Strong scripting skills (Python, Bash) Experience working in regulated environments (PCI-DSS preferred) Self-motivated individual with strong communication skills Ability to work on projects with multiple workstreams and competing deadlines Good to have: Experience with GitOps workflows and tools Service mesh technologies Platform engineering concepts AWS cost optimization Linux administration Database administration Financial services domain Agile/SAFe methodologies
11/06/2026
Full time
About MiFinity: MiFinity is a dynamic, licensed, and regulated fintech leader offering cost-effective, end-to-end payment solutions for businesses, merchants, and consumers. With over 20 years of experience in online payments, we have built a highly secure technology platform and a growing global network of financial and banking partners. Our core service, the MiFinity eWallet, enables seamless money transfers worldwide through our extensive bank network and local payment options. As we continue to expand across multiple global verticals, we foster a collaborative, inclusive work environment while maintaining a start-up culture that values flexibility, autonomy, and innovation across all of our offices in Dublin, Malta, and Belfast. We are currently looking for a candidate to join our team to help accelerate our platform migration to AWS ECS using Terraform, GitHub Actions and Datadog. Over the last 6 months, our team has successfully deployed Datadog as our observability platform, achieving 95% monitoring coverage across all services and significantly improving our incident response capabilities. Moving forward, we're focused on completing our ECS migration, implementing advanced GitOps workflows, and building self-service developer platforms to enhance our engineering velocity. Benefits: Private Healthcare plan post probation. Generous Pension Scheme. Remote work allowance post probation beginning at 3 weeks in year 1 and increasing with tenure. Additional special leave days such as extra day for birthday/moving home, extra days for marriage, graduation, citizenship ceremony. Study and Exam Leave to further support career and educational growth. Continuous Development Program sponsoring further education through courses and workshops. Responsibilities: Design and implement our Kubernetes (ECS) platform on AWS Maintain and optimise our CI/CD pipelines using GitHub Actions Implement and manage observability using Datadog across our platform Support and enhance our AWS cloud infrastructure Architect, review, audit, optimise and document our deployment processes Follow best practice change management processes aligned with our ISO27001 and PCI-DSS requirements Work with development teams to enable self-service capabilities (developer experience) Assist with incident response and platform support Analyse and optimize cloud costs across our infrastructure Core Skills: 3+ years' experience in a senior AWS platform/DevOps engineering role Experience designing AWS multi-region, highly available architectures Strong Kubernetes experience, particularly with AWS ECS Strong experience working with AWS ECS docker migrations Experience implementing and managing Datadog observability Strong AWS knowledge across compute, database and security services Experience with Infrastructure as Code using Terraform Solid understanding of container security and best practices Strong scripting skills (Python, Bash) Experience working in regulated environments (PCI-DSS preferred) Self-motivated individual with strong communication skills Ability to work on projects with multiple workstreams and competing deadlines Good to have: Experience with GitOps workflows and tools Service mesh technologies Platform engineering concepts AWS cost optimization Linux administration Database administration Financial services domain Agile/SAFe methodologies
We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers. This is not an execution only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work. What you'll do here Serve as the primary technical authority for post sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows Own onboarding engagements end to end, ensuring customers move from contract to productive adoption with speed and confidence Lead engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth Help customers implement the technical and organizational changes required to adopt agentic development practices at scale Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments Design and recommend reference architectures tailored to each customer's cloud environment, security posture, and organizational constraints Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns Anticipate technical and operational risks, elevate to the right internal stakeholders, and track issues through to resolution Contribute to technical documentation, architecture guides, how to resources, and statements of work that extend your impact across the customer base Capture structured product feedback from customer deployments and advocate directly with engineering and product teams for roadmap and usability improvements What we're looking for 5+ years of experience in a Forward Deployed Engineering, Solutions Architect, Platform Engineering, or equivalent post sales technical role, with a demonstrated track record of guiding enterprise customers through complex technical deployments Proven hands on experience from a prior role designing and deploying cloud infrastructure on at least one major provider: AWS, Google Cloud, or Microsoft Azure; you have done the work and can speak to it with specificity 2+ years of production experience with Kubernetes: cluster design, workload scheduling, networking, storage, and operational lifecycle 2+ years of experience with Terraform or equivalent infrastructure as code tooling; you understand how enterprise teams structure, version, and maintain IaC at scale Solid understanding of Linux systems administration, including networking fundamentals: ingress controllers, proxies, load balancers, and DNS resolution in cloud native environments Familiarity with CI/CD pipeline design and DevOps practices; you understand how code moves from commit to running workload in an enterprise context Working knowledge of cloud security and identity: IAM patterns, network segmentation, secrets management, and compliance relevant controls Understanding of observability practices including logging, metrics, and tracing across distributed systems Experience with AI tooling at both the user level (coding agents, assistants) and infrastructure level (model proxies, LLM routing layers such as LiteLLM) Demonstrated ability to design repeatable delivery patterns, not just solve one off problems Comfort working through organizational and workflow change alongside technical change with customers Strong verbal and written communication skills: you can hold a room with a senior infrastructure team and produce a clear architecture document without those being separate skills High customer empathy: you understand that the best technical solution does not always fit a customer's constraints, timeline, or organizational reality Self directed, analytically minded, and comfortable operating with full autonomy in a startup environment Bonus tacos if you have (Tacos? If you need an ice breaker, ask how we say thanks by giving tacos!) Experience at both early stage startups and larger software organizations Background as a Software Engineer, DevOps Engineer, or Platform Engineer before moving into a customer facing role Familiarity with regulated environments: air gapped deployments, network isolation, SOC 2, ISO 27001, GDPR, or DORA requirements Experience with disaster recovery design and multi region availability patterns Cloud cost optimization experience, including rightsizing, reserved capacity, and FinOps practices Experience with Tailscale or similar overlay networking tools Kubernetes certification (CKA, CKAD, or CKS) Open source contributions Experience with Backstage.io or similar internal developer portals and platform tooling Prior work on or alongside a developer platform or platform engineering team Experience introducing new operating models or delivery patterns across post sales or go to market teams About Coder Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Our self hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. Interview process We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI use during the interview process As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take home assessments. Please flag where and to what extent it was used in your take home. Your submission will not be penalized for using AI as long as it is done honestly. Our use of AI in hiring We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first. Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on Automated Employment Decision Tools; results are available for Ashby. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact . Coder is a proud Equal Opportunity Employer We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
11/06/2026
Full time
We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers. This is not an execution only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work. What you'll do here Serve as the primary technical authority for post sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows Own onboarding engagements end to end, ensuring customers move from contract to productive adoption with speed and confidence Lead engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth Help customers implement the technical and organizational changes required to adopt agentic development practices at scale Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments Design and recommend reference architectures tailored to each customer's cloud environment, security posture, and organizational constraints Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns Anticipate technical and operational risks, elevate to the right internal stakeholders, and track issues through to resolution Contribute to technical documentation, architecture guides, how to resources, and statements of work that extend your impact across the customer base Capture structured product feedback from customer deployments and advocate directly with engineering and product teams for roadmap and usability improvements What we're looking for 5+ years of experience in a Forward Deployed Engineering, Solutions Architect, Platform Engineering, or equivalent post sales technical role, with a demonstrated track record of guiding enterprise customers through complex technical deployments Proven hands on experience from a prior role designing and deploying cloud infrastructure on at least one major provider: AWS, Google Cloud, or Microsoft Azure; you have done the work and can speak to it with specificity 2+ years of production experience with Kubernetes: cluster design, workload scheduling, networking, storage, and operational lifecycle 2+ years of experience with Terraform or equivalent infrastructure as code tooling; you understand how enterprise teams structure, version, and maintain IaC at scale Solid understanding of Linux systems administration, including networking fundamentals: ingress controllers, proxies, load balancers, and DNS resolution in cloud native environments Familiarity with CI/CD pipeline design and DevOps practices; you understand how code moves from commit to running workload in an enterprise context Working knowledge of cloud security and identity: IAM patterns, network segmentation, secrets management, and compliance relevant controls Understanding of observability practices including logging, metrics, and tracing across distributed systems Experience with AI tooling at both the user level (coding agents, assistants) and infrastructure level (model proxies, LLM routing layers such as LiteLLM) Demonstrated ability to design repeatable delivery patterns, not just solve one off problems Comfort working through organizational and workflow change alongside technical change with customers Strong verbal and written communication skills: you can hold a room with a senior infrastructure team and produce a clear architecture document without those being separate skills High customer empathy: you understand that the best technical solution does not always fit a customer's constraints, timeline, or organizational reality Self directed, analytically minded, and comfortable operating with full autonomy in a startup environment Bonus tacos if you have (Tacos? If you need an ice breaker, ask how we say thanks by giving tacos!) Experience at both early stage startups and larger software organizations Background as a Software Engineer, DevOps Engineer, or Platform Engineer before moving into a customer facing role Familiarity with regulated environments: air gapped deployments, network isolation, SOC 2, ISO 27001, GDPR, or DORA requirements Experience with disaster recovery design and multi region availability patterns Cloud cost optimization experience, including rightsizing, reserved capacity, and FinOps practices Experience with Tailscale or similar overlay networking tools Kubernetes certification (CKA, CKAD, or CKS) Open source contributions Experience with Backstage.io or similar internal developer portals and platform tooling Prior work on or alongside a developer platform or platform engineering team Experience introducing new operating models or delivery patterns across post sales or go to market teams About Coder Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Our self hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale. Interview process We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI use during the interview process As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take home assessments. Please flag where and to what extent it was used in your take home. Your submission will not be penalized for using AI as long as it is done honestly. Our use of AI in hiring We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions - it helps our team prioritize which applications to review first. Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on Automated Employment Decision Tools; results are available for Ashby. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact . Coder is a proud Equal Opportunity Employer We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Your new company This is a well-established further education college based in the coastal town of Barrow-in-Furness in the North West of England, with a strong reputation for serving its local community and supporting regional skills development. The college offers a broad curriculum spanning vocational, technical, and academic pathways, working closely with local employers to ensure provision aligns with workforce needs. It plays a key role in supporting progression into employment, apprenticeships, and higher education, particularly in sectors linked to engineering, construction, and emerging industries. With a clear focus on inclusion, the organisation is committed to providing high-quality education and opportunities for learners from a wide range of backgrounds. It has invested in its facilities and digital infrastructure in recent years and continues to evolve its approach to teaching, learning, and student experience. As part of its ongoing development, the college is strengthening its leadership and strategic capability to ensure it remains responsive, innovative, and well-positioned for future growth, and they are now seeking an IT Support Team Leader to join their team. Your new role Reporting to the IT Service Delivery Manager, you will be responsible for leading a team of 7 IT specialists providing a high level of IT support to end users across campus. The role will lead and manage the 1st and 2nd line IT support function across the Furness campuses, ensuring resources are effectively deployed to meet business needs and deliver a high-quality, responsive service. You will oversee day-to-day operations, ensuring planned deliverables are achieved, while also acting as the first point of escalation for more complex end-user support issues. A key focus of the role is maintaining excellent service standards, which includes ensuring service KPIs around availability, responsiveness, and customer satisfaction are consistently met, with proactive action taken to address any risks. You will drive timely and effective fault diagnosis and resolution of incidents, problems, and service requests, ensuring clear ticket progression, strong communication with users, and appropriate escalation to third-line teams where required. You will also play an active role in developing the capability of the team, including mentoring junior colleagues and supporting continuous professional development. Alongside this, you will ensure that processes and procedures are well documented, maintained, and consistently followed, contributing to operational reporting and the ongoing improvement of service delivery, which also includes maintaining accurate asset management practices and contributing to both user-facing and internal IT knowledge bases. The role will support wider IT service delivery by assisting in implementing operational efficiencies, ensuring appropriate stock levels of devices and equipment are maintained, and responding effectively to cybersecurity incidents. A commitment to continuous improvement, both personally and across the function, will be essential to ensure the IT service remains modern, efficient, and aligned to organisational needs. What you'll need to succeed In order to be successful, you will have IT support experience where you have provided both 1st and 2nd line support, ideally mentoring more junior members of staff and handling any escalated issues, with experience in the education sector also being beneficial. From a technical perspective, you will have a strong knowledge of Microsoft 365, and Windows10/11. You will have a proactive approach, be a collaborative team player and be keen to join an organisation where you will be fully supported and have the opportunity for further development. This is an exciting opportunity for a skilled IT professional to move into a role leading a team of specialists. What you'll get in return In return, you will be paid a competitive salary of between £31,000 and £34,000, joining a team of just under 40 IT professionals who will all support you upon joining the organisation. You will also receive a local government pension scheme, as well as an attractive benefits package which includes a generous holiday entitlement and access to various health and lifestyle discounts and benefits. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
11/06/2026
Full time
Your new company This is a well-established further education college based in the coastal town of Barrow-in-Furness in the North West of England, with a strong reputation for serving its local community and supporting regional skills development. The college offers a broad curriculum spanning vocational, technical, and academic pathways, working closely with local employers to ensure provision aligns with workforce needs. It plays a key role in supporting progression into employment, apprenticeships, and higher education, particularly in sectors linked to engineering, construction, and emerging industries. With a clear focus on inclusion, the organisation is committed to providing high-quality education and opportunities for learners from a wide range of backgrounds. It has invested in its facilities and digital infrastructure in recent years and continues to evolve its approach to teaching, learning, and student experience. As part of its ongoing development, the college is strengthening its leadership and strategic capability to ensure it remains responsive, innovative, and well-positioned for future growth, and they are now seeking an IT Support Team Leader to join their team. Your new role Reporting to the IT Service Delivery Manager, you will be responsible for leading a team of 7 IT specialists providing a high level of IT support to end users across campus. The role will lead and manage the 1st and 2nd line IT support function across the Furness campuses, ensuring resources are effectively deployed to meet business needs and deliver a high-quality, responsive service. You will oversee day-to-day operations, ensuring planned deliverables are achieved, while also acting as the first point of escalation for more complex end-user support issues. A key focus of the role is maintaining excellent service standards, which includes ensuring service KPIs around availability, responsiveness, and customer satisfaction are consistently met, with proactive action taken to address any risks. You will drive timely and effective fault diagnosis and resolution of incidents, problems, and service requests, ensuring clear ticket progression, strong communication with users, and appropriate escalation to third-line teams where required. You will also play an active role in developing the capability of the team, including mentoring junior colleagues and supporting continuous professional development. Alongside this, you will ensure that processes and procedures are well documented, maintained, and consistently followed, contributing to operational reporting and the ongoing improvement of service delivery, which also includes maintaining accurate asset management practices and contributing to both user-facing and internal IT knowledge bases. The role will support wider IT service delivery by assisting in implementing operational efficiencies, ensuring appropriate stock levels of devices and equipment are maintained, and responding effectively to cybersecurity incidents. A commitment to continuous improvement, both personally and across the function, will be essential to ensure the IT service remains modern, efficient, and aligned to organisational needs. What you'll need to succeed In order to be successful, you will have IT support experience where you have provided both 1st and 2nd line support, ideally mentoring more junior members of staff and handling any escalated issues, with experience in the education sector also being beneficial. From a technical perspective, you will have a strong knowledge of Microsoft 365, and Windows10/11. You will have a proactive approach, be a collaborative team player and be keen to join an organisation where you will be fully supported and have the opportunity for further development. This is an exciting opportunity for a skilled IT professional to move into a role leading a team of specialists. What you'll get in return In return, you will be paid a competitive salary of between £31,000 and £34,000, joining a team of just under 40 IT professionals who will all support you upon joining the organisation. You will also receive a local government pension scheme, as well as an attractive benefits package which includes a generous holiday entitlement and access to various health and lifestyle discounts and benefits. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Newcastle upon Tyne, United Kingdom Posted on 20/04/2026 Scrumconnect Consulting is a UK national SME award winning software development consultancy with over 300 consultants across the UK. We work with UK Public Sector clients to build impactful, award winning digital services that improve millions of lives. We take pride in our people, culture and work life balance as we do in creating services that impact millions of lives. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customers need to sustain innovation. About the role You will work as a forward deployed engineer embedded within a security focused capability unit, designing, building, and deploying AI powered tools that drive measurable improvements in cyber security and fraud prevention. Working closely with technical teams and operational stakeholders, you will turn requirements into governed, production ready solutions delivered on approved cloud platforms. This is a hands on engineering contract - you will own work from prototyping through to deployment, contributing to a mission critical security programme at scale. Core technical skills Deploying and managing solutions in AWS using Infrastructure as Code (Terraform), maintaining compliance with governance and security standards. Configuring and managing GitLab CI pipelines to automate testing, infrastructure provisioning, and deployment across environments. Implementing unit, integration, and performance tests to ensure reliability, correctness, and reproducibility across all release cycles. Working with monitoring tooling and incident workflows to track system health, detect anomalies, and respond to failures in real time. Experience with large scale data storage and querying - relational and non relational - within secure, governed cloud environments. Building and deploying AI powered capabilities, ideally in a security, fraud, or operational context within a regulated environment. What we're looking for Demonstrable experience in AWS cloud engineering with Terraform for infrastructure as code. Hands on delivery of CI/CD pipelines using GitLab CI across multiple environments. Strong understanding of software testing at all levels: unit, integration, and performance. Practical experience with observability platforms and on call/incident management. Comfortable working across big data technologies and large scale database architectures. Ability to engage confidently with engineers, security professionals, and non technical stakeholders. Experience working in Agile delivery teams, ideally within a government or regulated environment. Active SC clearance held at point of application - this is a strict requirement. Commitment to diversity & inclusion We are committed to building diverse teams and fostering an environment where everyone can thrive. We actively welcome applications from women, people from ethnic minority backgrounds, disabled people, those returning to work after a career break, and anyone from a group currently underrepresented in technology and security roles. We know that diverse teams build better, more resilient products. If you do not meet every requirement listed above but feel strongly that this role aligns with your experience, we encourage you to apply. Skills can be grown - perspective and drive are equally valued. We are happy to discuss flexible working arrangements, reasonable adjustments, or any support you may need throughout the process. Please reach out to discuss what works for you. Working arrangements This role is based in Newcastle with a requirement for three days on site per week. The remaining days may be worked remotely. Due to the security nature of the programme, all work must be conducted within approved environments and platforms.
11/06/2026
Full time
Newcastle upon Tyne, United Kingdom Posted on 20/04/2026 Scrumconnect Consulting is a UK national SME award winning software development consultancy with over 300 consultants across the UK. We work with UK Public Sector clients to build impactful, award winning digital services that improve millions of lives. We take pride in our people, culture and work life balance as we do in creating services that impact millions of lives. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customers need to sustain innovation. About the role You will work as a forward deployed engineer embedded within a security focused capability unit, designing, building, and deploying AI powered tools that drive measurable improvements in cyber security and fraud prevention. Working closely with technical teams and operational stakeholders, you will turn requirements into governed, production ready solutions delivered on approved cloud platforms. This is a hands on engineering contract - you will own work from prototyping through to deployment, contributing to a mission critical security programme at scale. Core technical skills Deploying and managing solutions in AWS using Infrastructure as Code (Terraform), maintaining compliance with governance and security standards. Configuring and managing GitLab CI pipelines to automate testing, infrastructure provisioning, and deployment across environments. Implementing unit, integration, and performance tests to ensure reliability, correctness, and reproducibility across all release cycles. Working with monitoring tooling and incident workflows to track system health, detect anomalies, and respond to failures in real time. Experience with large scale data storage and querying - relational and non relational - within secure, governed cloud environments. Building and deploying AI powered capabilities, ideally in a security, fraud, or operational context within a regulated environment. What we're looking for Demonstrable experience in AWS cloud engineering with Terraform for infrastructure as code. Hands on delivery of CI/CD pipelines using GitLab CI across multiple environments. Strong understanding of software testing at all levels: unit, integration, and performance. Practical experience with observability platforms and on call/incident management. Comfortable working across big data technologies and large scale database architectures. Ability to engage confidently with engineers, security professionals, and non technical stakeholders. Experience working in Agile delivery teams, ideally within a government or regulated environment. Active SC clearance held at point of application - this is a strict requirement. Commitment to diversity & inclusion We are committed to building diverse teams and fostering an environment where everyone can thrive. We actively welcome applications from women, people from ethnic minority backgrounds, disabled people, those returning to work after a career break, and anyone from a group currently underrepresented in technology and security roles. We know that diverse teams build better, more resilient products. If you do not meet every requirement listed above but feel strongly that this role aligns with your experience, we encourage you to apply. Skills can be grown - perspective and drive are equally valued. We are happy to discuss flexible working arrangements, reasonable adjustments, or any support you may need throughout the process. Please reach out to discuss what works for you. Working arrangements This role is based in Newcastle with a requirement for three days on site per week. The remaining days may be worked remotely. Due to the security nature of the programme, all work must be conducted within approved environments and platforms.
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for an enthusiastic and opinionated Principal AI Engineer to define how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next generation simulation and design tools used by industry leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to architect the Agentic stack within this wider ecosystem. You will build a production grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably. You will set the strategic direction for our platform's critical infrastructure and lead key implementation efforts. You are someone with the scar tissue of running agents in production. You have strong, reasoned opinions on emerging open standards (such as MCP, A2A, and ACP) and deep expertise in complex architectural patterns like durable execution and agent memory. You are passionate about building a world class developer experience that transforms complex research into robust, deployed engineering solutions. Core Responsibilities You will serve as the principal architect for our Agentic ecosystem, responsible for the high level design choices that define how agents run at PhysicsX. You will cover topics such as: Agent Observability: Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle. Agent Deployment:Deliver an intuitive deployment lifecycle which simplifies questions around auth, discoverability and resource requirements. Agent Sandboxing: Architect secure environments to isolate and allow agents to operate safely. Agent Evals: Implement a stack that empowers domain experts to efficiently annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets. Agent Governance: Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment. The Tech Stack Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform. Observability & Evals: OTel, LangSmith, Arize, Braintrust. Who You Are An Architect at Heart: You have strong, reasoned opinions on Durable Execution vs. Standard Async, Vector Search vs. Keyword Search, and Prompt Management strategies. Platform-First: You care deeply about the Developer Experience (DevEx) of the Customers, FDEs consuming your platform. You build tools that make the "right way" the "easy way." Security-Minded: You understand the risks of allowing LLMs to execute code and access data, and you know how to mitigate them via rigid sandboxing and permissioning. Qualifications Platform & Backend Foundations: 4+ years of experience in Platform Engineering, Backend, or SRE. Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform). Agentic & AI Engineering: Production experience designing Agentic architectures (chains, tools, memory). Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution. Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking. Bonus Points Background in Engineering workflows or simulation platforms. Experience building internal developer platforms (IDPs). We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
11/06/2026
Full time
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Mission We're looking for an enthusiastic and opinionated Principal AI Engineer to define how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next generation simulation and design tools used by industry leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges. Your mission is to architect the Agentic stack within this wider ecosystem. You will build a production grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably. You will set the strategic direction for our platform's critical infrastructure and lead key implementation efforts. You are someone with the scar tissue of running agents in production. You have strong, reasoned opinions on emerging open standards (such as MCP, A2A, and ACP) and deep expertise in complex architectural patterns like durable execution and agent memory. You are passionate about building a world class developer experience that transforms complex research into robust, deployed engineering solutions. Core Responsibilities You will serve as the principal architect for our Agentic ecosystem, responsible for the high level design choices that define how agents run at PhysicsX. You will cover topics such as: Agent Observability: Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle. Agent Deployment:Deliver an intuitive deployment lifecycle which simplifies questions around auth, discoverability and resource requirements. Agent Sandboxing: Architect secure environments to isolate and allow agents to operate safely. Agent Evals: Implement a stack that empowers domain experts to efficiently annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets. Agent Governance: Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment. The Tech Stack Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform. Observability & Evals: OTel, LangSmith, Arize, Braintrust. Who You Are An Architect at Heart: You have strong, reasoned opinions on Durable Execution vs. Standard Async, Vector Search vs. Keyword Search, and Prompt Management strategies. Platform-First: You care deeply about the Developer Experience (DevEx) of the Customers, FDEs consuming your platform. You build tools that make the "right way" the "easy way." Security-Minded: You understand the risks of allowing LLMs to execute code and access data, and you know how to mitigate them via rigid sandboxing and permissioning. Qualifications Platform & Backend Foundations: 4+ years of experience in Platform Engineering, Backend, or SRE. Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform). Agentic & AI Engineering: Production experience designing Agentic architectures (chains, tools, memory). Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution. Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking. Bonus Points Background in Engineering workflows or simulation platforms. Experience building internal developer platforms (IDPs). We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Position Overview We are looking for a Forward Deployed Engineer to join our team. In this role, you will work directly with our customers to design, deploy, and extend mission critical solutions powered by our platform. As one of the earliest technical interfaces between Condukt and our clients, you'll help translate complex operational challenges into elegant, scalable implementations, bridging deep technical expertise with hands on customer collaboration. This role is ideal for engineers who love solving real customer problems, thrive in ambiguous environments, and enjoy working across product, engineering, and go to market teams. You'll help shape how customers adopt and scale our technology, while influencing our product roadmap through frontline insights. If you are excited by the idea of building, deploying, and optimizing solutions in partnership with world class financial institutions and fintechs, this role is for you. What you'll do Partner with customers to deeply understand their use cases, data needs, and integrations, and turn those into clear technical plans using Condukt, then guide them through adopting what you build. Drive end to end configuration and deployment of our tech, interacting with our products and customer tech stacks via public APIs. Lead the technical design, development, and build of custom tools tailored to specific customer project requirements, to extend our base capabilities and/or interface with external systems to achieve the customer's goals. Provide expert troubleshooting, debugging, and performance optimization for deployed solutions to ensure stability and efficiency. Collaborate with engineering, product, and go to market teams to prioritize feedback, shape product direction, and drive delivery. What you bring You are an effective and self driven builder. 3+ years of experience in software engineering or technical deployment, including direct customer facing work. Strong ability to understand customer workflows and translate them into clear product and technical requirements. Experience scoping and delivering complex systems in fast moving or ambiguous environments. Expertise in interacting with external systems via public APIs. Ability to write and review production grade code across frontend and backend using Python, JavaScript, or comparable stacks. Hands on experience building or deploying systems powered by LLMs or generative models, with a solid grasp of data flow, model behavior, and integration patterns. Comfortable turning recurring patterns into tools, playbooks, or building blocks for others to use. Excellent verbal and written communication skills, with the ability to engage both technical and non technical stakeholders. Fast learner who can adapt to new technologies, product updates, and customer environments. It would be a plus if you have: Experience deploying or integrating solutions in financial services, fintech, or compliance heavy domains. Experience supporting enterprise customers or large scale integrations. Exposure to risk, fraud, underwriting, or KYC/KYB products. Our Offer Tackle meaningful problems with real world impact. Competitive salary and equity package. Join us onsite in our offices in London or Porto. Flat hierarchy with direct access to the founders. Top of the line equipment. Private health insurance, plus sick and compassionate leave as needed. About us Condukt is the next generation compliance platform for financial services, offering an agentic solution powered by real time data for business identity. Always on and policy aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. If you have any questions, please reach out to .
10/06/2026
Full time
Position Overview We are looking for a Forward Deployed Engineer to join our team. In this role, you will work directly with our customers to design, deploy, and extend mission critical solutions powered by our platform. As one of the earliest technical interfaces between Condukt and our clients, you'll help translate complex operational challenges into elegant, scalable implementations, bridging deep technical expertise with hands on customer collaboration. This role is ideal for engineers who love solving real customer problems, thrive in ambiguous environments, and enjoy working across product, engineering, and go to market teams. You'll help shape how customers adopt and scale our technology, while influencing our product roadmap through frontline insights. If you are excited by the idea of building, deploying, and optimizing solutions in partnership with world class financial institutions and fintechs, this role is for you. What you'll do Partner with customers to deeply understand their use cases, data needs, and integrations, and turn those into clear technical plans using Condukt, then guide them through adopting what you build. Drive end to end configuration and deployment of our tech, interacting with our products and customer tech stacks via public APIs. Lead the technical design, development, and build of custom tools tailored to specific customer project requirements, to extend our base capabilities and/or interface with external systems to achieve the customer's goals. Provide expert troubleshooting, debugging, and performance optimization for deployed solutions to ensure stability and efficiency. Collaborate with engineering, product, and go to market teams to prioritize feedback, shape product direction, and drive delivery. What you bring You are an effective and self driven builder. 3+ years of experience in software engineering or technical deployment, including direct customer facing work. Strong ability to understand customer workflows and translate them into clear product and technical requirements. Experience scoping and delivering complex systems in fast moving or ambiguous environments. Expertise in interacting with external systems via public APIs. Ability to write and review production grade code across frontend and backend using Python, JavaScript, or comparable stacks. Hands on experience building or deploying systems powered by LLMs or generative models, with a solid grasp of data flow, model behavior, and integration patterns. Comfortable turning recurring patterns into tools, playbooks, or building blocks for others to use. Excellent verbal and written communication skills, with the ability to engage both technical and non technical stakeholders. Fast learner who can adapt to new technologies, product updates, and customer environments. It would be a plus if you have: Experience deploying or integrating solutions in financial services, fintech, or compliance heavy domains. Experience supporting enterprise customers or large scale integrations. Exposure to risk, fraud, underwriting, or KYC/KYB products. Our Offer Tackle meaningful problems with real world impact. Competitive salary and equity package. Join us onsite in our offices in London or Porto. Flat hierarchy with direct access to the founders. Top of the line equipment. Private health insurance, plus sick and compassionate leave as needed. About us Condukt is the next generation compliance platform for financial services, offering an agentic solution powered by real time data for business identity. Always on and policy aware, Condukt enables financial institutions and fintechs to gain actionable insights into business verification - unlocking growth, increasing efficiency, and strengthening compliance. We were founded by former operators and builders with deep experience in banking, payments, and lending. Today, our team spans across London and Porto, bringing together engineers, product owners, and operators from companies like Revolut, Meta, Block (Square), SumUp, American Express, Yandex, and Marshmallow. Trusted by leading regulated entities, including Wise, Tide, Mollie, Shift4, Flatpay, and myPOS, Condukt is backed by top investors, including Lightspeed Venture Partners and MMC Ventures. If you have any questions, please reach out to .
Localizationacademy is looking for a Forward Deployed Engineer based in Greater London, UK. This senior role demands a technical expert in deploying AI-powered localization workflows, ensuring measurable outcomes for customers. You will lead technical execution across the customer journey, from pre-sales discovery to go-live readiness, while ensuring workflows excel in quality and efficiency. Strong communication skills and an engineering background are vital for this role.
10/06/2026
Full time
Localizationacademy is looking for a Forward Deployed Engineer based in Greater London, UK. This senior role demands a technical expert in deploying AI-powered localization workflows, ensuring measurable outcomes for customers. You will lead technical execution across the customer journey, from pre-sales discovery to go-live readiness, while ensuring workflows excel in quality and efficiency. Strong communication skills and an engineering background are vital for this role.
About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the worldu2019s leading enterprises. Weu2019re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents arenu2019t generic copilots. Theyu2019re fully trained digital teammates that learn from your best people, your content, and your business strategyu2014ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the worldu2014instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, weu2019re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Forward Deployed Engineering Mission Youu2019ll join Smartcatu2019s GTM org as a Forward Deployed Engineer, owning technical success across the full customer lifecycleu2014from pre-sales workflow discovery to implementation, adoption, and expansion. FDEs drive ARR by delivering measurable outcomes and building AI-powered workflows that accelerate Agent Platform adoption, improve multilingual quality, and maximize long-term value. Youu2019ll partner closely with Sales, CX, Product, and Engineering to translate business goals into working solutions (integrations, prompts, and AI agents), lead go-lives, and surface customer insights to influence product direction and roadmap priorities on our biggest customers. Role Overview The Forward Deployed Engineer (FDE) at Smartcat is a senior, customer-facing technical delivery role responsible for translating business goals into deployed AI-powered localization workflows u2014 and ensuring those workflows drive measurable outcomes. This is not a back-office implementation role. You will own the delivery and success of our largest customers by being their point of contact and trusted advisor. It is a forward-facing, outcome-owning role that requires deep technical fluency, strong execution discipline, and the ability to operate across pre-sales and post-sales. Core Responsibilities Lead end-to-end technical execution across the customer journey u2014 from pre-sales discovery and demos through deployment and value realization Build AI-powered workflows that improve multilingual content quality, speed, and efficiency Own integrations and automation that embed Smartcat into enterprise systems Partner cross-functionally to drive adoption, expansion, and long-term success Pre Sales Technical Strategy & Value Map Ownership Lead pre-sales technical discovery to understand workflows, systems, and success criteria. Own the end-to-end technical execution from demos to value generation. Translate customer requirements into a clear technical solution plan and implementation path through a strategic plan. Partner with GTM Account teams to scope opportunities and ensure solutions are sold correctly. AI Workflow Design & Deployment Build and deploy AI-powered workflows aligned to customer outcomes. Create, test, and iterate prompts, agent skills, and workflow configurations. Develop workflows that improve quality, speed, and efficiency in multilingual content creation. Ensure that translation quality, output, and format are aligned with customer expectations. Integrations, APIs & Automation Configure platform integrations and end-to-end processes using APIs, connectors, and middleware. Lead complex technical integrations with enterprise systems such as CMS, DAM, PIM, and commerce platforms (e.g., AEM, Drupal, SFCC). Troubleshoot integration and workflow issues with strong technical rigor. Build custom solutions when necessary to meet customer operational requirements. Collaborate with the engineering team to identify and implement core platform enhancements that resolve customer obstacles. Technical Delivery Ownership & Go Live Readiness Serve as the technical lead for customer deployments from discovery through go live. Own validation, testing, and go live readiness to ensure workflows meet expected quality standards. Maintain implementation discipline u2014 timelines, milestones, risks, and technical documentation. Ensure customer solutions are stable, scalable, and operationally successful. Adoption, Outcomes & Expansion Enablement Drive post-sale support, enablement, and adoption initiatives. Help quantify outcomes and value realization over time. Identify opportunities to expand workflows, departments, and usage based on technical success. Partner with account teams to validate and support expansion opportunities. Cross Functional Collaboration & Product Feedback Loop Partner with Customer Experience (CX), Product, Engineering, and Account teams to deliver outcomes. Submit high-quality bug reports and technical feedback to Engineering and Product. Identify recurring customer needs and workflow gaps to influence roadmap priorities. Act as a liaison to accelerate customer success through internal alignment. Stakeholder Communication & Executive Enablement Communicate clearly with both technical and executive stakeholders. Translate complex technical concepts into actionable recommendations. Lead technical workshops and implementation sessions. Support executive-level discussions on outcomes, roadmap alignment, and future workflow opportunities. What Weu2019re Looking For BS/MS in engineering, analytics, or a related field with 10+ years in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers Experience with REST APIs, GitHub, AI SaaS workflows, enterprise change management, and technical solution design/integrations Skilled in troubleshooting complex implementation issues and creating custom solutions with software like LMS, CMS, PIMs, DAMs Excellent communication skills with experience presenting to both technical and executive audiences Strong negotiation, influencing, and client relationship management skills Proven ability to deliver post-sale support, training, and adoption initiatives Entrepreneurial mindset with curiosity, problem-solving ability, and collaborative approach Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team Weu2019re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where youu2019re based, youu2019ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat youu2019ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isnu2019t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
10/06/2026
Full time
About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the worldu2019s leading enterprises. Weu2019re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents arenu2019t generic copilots. Theyu2019re fully trained digital teammates that learn from your best people, your content, and your business strategyu2014ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the worldu2014instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, weu2019re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Forward Deployed Engineering Mission Youu2019ll join Smartcatu2019s GTM org as a Forward Deployed Engineer, owning technical success across the full customer lifecycleu2014from pre-sales workflow discovery to implementation, adoption, and expansion. FDEs drive ARR by delivering measurable outcomes and building AI-powered workflows that accelerate Agent Platform adoption, improve multilingual quality, and maximize long-term value. Youu2019ll partner closely with Sales, CX, Product, and Engineering to translate business goals into working solutions (integrations, prompts, and AI agents), lead go-lives, and surface customer insights to influence product direction and roadmap priorities on our biggest customers. Role Overview The Forward Deployed Engineer (FDE) at Smartcat is a senior, customer-facing technical delivery role responsible for translating business goals into deployed AI-powered localization workflows u2014 and ensuring those workflows drive measurable outcomes. This is not a back-office implementation role. You will own the delivery and success of our largest customers by being their point of contact and trusted advisor. It is a forward-facing, outcome-owning role that requires deep technical fluency, strong execution discipline, and the ability to operate across pre-sales and post-sales. Core Responsibilities Lead end-to-end technical execution across the customer journey u2014 from pre-sales discovery and demos through deployment and value realization Build AI-powered workflows that improve multilingual content quality, speed, and efficiency Own integrations and automation that embed Smartcat into enterprise systems Partner cross-functionally to drive adoption, expansion, and long-term success Pre Sales Technical Strategy & Value Map Ownership Lead pre-sales technical discovery to understand workflows, systems, and success criteria. Own the end-to-end technical execution from demos to value generation. Translate customer requirements into a clear technical solution plan and implementation path through a strategic plan. Partner with GTM Account teams to scope opportunities and ensure solutions are sold correctly. AI Workflow Design & Deployment Build and deploy AI-powered workflows aligned to customer outcomes. Create, test, and iterate prompts, agent skills, and workflow configurations. Develop workflows that improve quality, speed, and efficiency in multilingual content creation. Ensure that translation quality, output, and format are aligned with customer expectations. Integrations, APIs & Automation Configure platform integrations and end-to-end processes using APIs, connectors, and middleware. Lead complex technical integrations with enterprise systems such as CMS, DAM, PIM, and commerce platforms (e.g., AEM, Drupal, SFCC). Troubleshoot integration and workflow issues with strong technical rigor. Build custom solutions when necessary to meet customer operational requirements. Collaborate with the engineering team to identify and implement core platform enhancements that resolve customer obstacles. Technical Delivery Ownership & Go Live Readiness Serve as the technical lead for customer deployments from discovery through go live. Own validation, testing, and go live readiness to ensure workflows meet expected quality standards. Maintain implementation discipline u2014 timelines, milestones, risks, and technical documentation. Ensure customer solutions are stable, scalable, and operationally successful. Adoption, Outcomes & Expansion Enablement Drive post-sale support, enablement, and adoption initiatives. Help quantify outcomes and value realization over time. Identify opportunities to expand workflows, departments, and usage based on technical success. Partner with account teams to validate and support expansion opportunities. Cross Functional Collaboration & Product Feedback Loop Partner with Customer Experience (CX), Product, Engineering, and Account teams to deliver outcomes. Submit high-quality bug reports and technical feedback to Engineering and Product. Identify recurring customer needs and workflow gaps to influence roadmap priorities. Act as a liaison to accelerate customer success through internal alignment. Stakeholder Communication & Executive Enablement Communicate clearly with both technical and executive stakeholders. Translate complex technical concepts into actionable recommendations. Lead technical workshops and implementation sessions. Support executive-level discussions on outcomes, roadmap alignment, and future workflow opportunities. What Weu2019re Looking For BS/MS in engineering, analytics, or a related field with 10+ years in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers Experience with REST APIs, GitHub, AI SaaS workflows, enterprise change management, and technical solution design/integrations Skilled in troubleshooting complex implementation issues and creating custom solutions with software like LMS, CMS, PIMs, DAMs Excellent communication skills with experience presenting to both technical and executive audiences Strong negotiation, influencing, and client relationship management skills Proven ability to deliver post-sale support, training, and adoption initiatives Entrepreneurial mindset with curiosity, problem-solving ability, and collaborative approach Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team Weu2019re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where youu2019re based, youu2019ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat youu2019ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isnu2019t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location London Employment Type Full time Department Engineering Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare's capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others. We move quickly where it matters and stay grounded in what's proven, shaping healthcare's next era. Ready for the challenge? The Role As a Solution Engineer, you'll serve as the technical lead during the sales process - helping prospects understand what's possible with Heidi, guiding integration feasibility, and ensuring a smooth transition into implementation. You'll work closely with Account Executives, Product, and Engineering to navigate high-stakes enterprise requirements, including EMR integrations, SSO, custom data workflows, telephony and call system integrations (e.g., Twilio, WebRTC, SIP), and security architecture. You'll bring technical credibility, customer empathy, and a strong sense of ownership to every deal. What you'll do: Technical Discovery & Qualification: Lead deep technical discovery with enterprise and mid-market prospects to uncover integration, security, and compliance needs. Solution Design: Collaborate with product and engineering to design tailored solutions that meet customer requirements while aligning with Heidi's platform roadmap. Product Demos & Technical Presentations: Deliver compelling demos and architecture walkthroughs to technical stakeholders including IT, InfoSec, and engineering teams. RFP & Security Review Support: Own technical responses for RFPs, security assessments, and due diligence requests with attention to detail and accuracy. Deal Acceleration & Objection Handling: Proactively surface and resolve technical concerns that slow down the sales process, acting as a trusted technical advisor to the customer. Post-Sales Handoff & Feedback Loop: Partner with implementation teams to ensure a smooth transition post-signature and provide feedback to product and engineering from the field. What we'll look for: 5+ years of experience in Solution Engineering, preferably in SaaS, healthcare, or enterprise software. Excellent communication skills. Strong working knowledge of integration protocols (REST APIs, SAML/OIDC, SCIM), enterprise architecture, and security standards. Experience supporting sales cycles with large healthcare providers, health systems, or EMR vendors is highly valued (FHIR/HL7 familiarity a plus). Ability to synthesize complexity and communicate clearly to both technical and non-technical audiences. Comfortable operating autonomously in a fast-paced, early-stage environment. A trusted partner to sales and a credible voice in the room with technical leaders on the customer side. Bonus: Background in healthtech, startups, or regulated environments, plus hands on experience with telephony or voice integration systems (Twilio, WebRTC, SIP). What do we believe in? We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version. You'll be surrounded by a world class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs: We will stop at nothing to improve patient care across the world. We design user experiences for joy and ship them fast. We make decisions in a flat hierarchy that prioritizes the truth over rank. We provide the resources for people to succeed and give them the freedom to do it. Why you'll flourish working with us? Flexible work with a hybrid environment. Additional paid day off for your birthday and wellness days. Discounted corporate gym memberships. A generous personal development budget of $500 per annum. Learn from some of the best engineers and creatives, joining a diverse team. Become an owner, with shares (equity) in the company, if Heidi wins, we all win. The rare chance to create a global impact as you immerse yourself in one of Australia's leading healthtech startups. If you have an impact quickly, the opportunity to fast track your startup career! Help us reimagine primary care and change the face of healthcare around the world.
10/06/2026
Full time
Location London Employment Type Full time Department Engineering Who are Heidi? Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care. We exist to double healthcare's capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages. Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare. Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others. We move quickly where it matters and stay grounded in what's proven, shaping healthcare's next era. Ready for the challenge? The Role As a Solution Engineer, you'll serve as the technical lead during the sales process - helping prospects understand what's possible with Heidi, guiding integration feasibility, and ensuring a smooth transition into implementation. You'll work closely with Account Executives, Product, and Engineering to navigate high-stakes enterprise requirements, including EMR integrations, SSO, custom data workflows, telephony and call system integrations (e.g., Twilio, WebRTC, SIP), and security architecture. You'll bring technical credibility, customer empathy, and a strong sense of ownership to every deal. What you'll do: Technical Discovery & Qualification: Lead deep technical discovery with enterprise and mid-market prospects to uncover integration, security, and compliance needs. Solution Design: Collaborate with product and engineering to design tailored solutions that meet customer requirements while aligning with Heidi's platform roadmap. Product Demos & Technical Presentations: Deliver compelling demos and architecture walkthroughs to technical stakeholders including IT, InfoSec, and engineering teams. RFP & Security Review Support: Own technical responses for RFPs, security assessments, and due diligence requests with attention to detail and accuracy. Deal Acceleration & Objection Handling: Proactively surface and resolve technical concerns that slow down the sales process, acting as a trusted technical advisor to the customer. Post-Sales Handoff & Feedback Loop: Partner with implementation teams to ensure a smooth transition post-signature and provide feedback to product and engineering from the field. What we'll look for: 5+ years of experience in Solution Engineering, preferably in SaaS, healthcare, or enterprise software. Excellent communication skills. Strong working knowledge of integration protocols (REST APIs, SAML/OIDC, SCIM), enterprise architecture, and security standards. Experience supporting sales cycles with large healthcare providers, health systems, or EMR vendors is highly valued (FHIR/HL7 familiarity a plus). Ability to synthesize complexity and communicate clearly to both technical and non-technical audiences. Comfortable operating autonomously in a fast-paced, early-stage environment. A trusted partner to sales and a credible voice in the room with technical leaders on the customer side. Bonus: Background in healthtech, startups, or regulated environments, plus hands on experience with telephony or voice integration systems (Twilio, WebRTC, SIP). What do we believe in? We create unconventional solutions to difficult problems and we build them fast. We want you to set impossible goals and make them happen, think landing a rocket but the medical version. You'll be surrounded by a world class team of engineers, medicos and designers to do your best work, inspired by our shared beliefs: We will stop at nothing to improve patient care across the world. We design user experiences for joy and ship them fast. We make decisions in a flat hierarchy that prioritizes the truth over rank. We provide the resources for people to succeed and give them the freedom to do it. Why you'll flourish working with us? Flexible work with a hybrid environment. Additional paid day off for your birthday and wellness days. Discounted corporate gym memberships. A generous personal development budget of $500 per annum. Learn from some of the best engineers and creatives, joining a diverse team. Become an owner, with shares (equity) in the company, if Heidi wins, we all win. The rare chance to create a global impact as you immerse yourself in one of Australia's leading healthtech startups. If you have an impact quickly, the opportunity to fast track your startup career! Help us reimagine primary care and change the face of healthcare around the world.
About the Role Grade Level (for internal use): 12 The DevSecOps Engineer - Artifact Management & Software Supply Chain Security focuses on securing and governing enterprise artifact and dependency management platforms. This role combines DevSecOps, application security, and cloud security to ensure that build artifacts and dependencies are trusted, curated, and consumed securely across CI/CD pipelines and cloud environments. Key Responsibilities Design, deploy, and operate enterprise artifact repository platforms supporting cloud and hybrid environments. Define and enforce package curation, promotion, and trust models aligned with application security and compliance requirements. Implement and govern waiver and approval workflows for dependency and artifact usage, ensuring risk based decision making. Partner with AppSec, platform, and engineering teams to standardize secure dependency and artifact consumption patterns. Define and maintain repository architectures supporting multiple environments, teams, and trust boundaries. Enforce policies ensuring artifact immutability, provenance, versioning, and trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls. Implement safeguards against AI specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity. Collaborate with engineering teams to establish secure by design AI application architectures. Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance). Secure AI related secrets, tokens, and API access used in pipelines and applications. Monitor and respond to security risks introduced by AI/ML components, including third party models and APIs. Contribute to AI risk governance, auditability, and traceability across the SDLC. Stay current on emerging AI security threats, vulnerabilities, and regulatory expectations. Align artifact and dependency controls with cloud security best practices for deployed applications. Monitor usage, risk posture, and effectiveness of artifact controls and drive continuous improvement. Develop automation and policy as code for artifact lifecycle management, approvals, and governance. Support security incident investigations related to software supply chain integrity or dependency risk. Create documentation, standards, and enablement materials for secure developer adoption. Required Qualifications Bachelor's degree in Computer Science, Engineering, Cybersecurity, or equivalent experience. 3-6 years of experience in DevSecOps, platform security, or software supply chain security. Strong hands on experience with JFrog Artifactory, including deployment and enterprise architecture. Experience designing package curation and promotion models. Foundational understanding of AI/ML and Generative AI concepts, including LLMs and model lifecycle. Knowledge of AI/ML security risks such as prompt injection, data poisoning, model evasion, and data leakage. Experience integrating AI or ML components into applications or pipelines (preferred hands on exposure). Familiarity with Responsible AI principles and AI governance frameworks. Experience implementing waiver and approval workflows for dependencies and artifacts. Strong understanding of application security principles and dependency risk management. Hands on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines. Experience working in cloud environments (Azure preferred; AWS/GCP acceptable). Proficiency with automation and scripting (Python, Groovy, Terraform, etc.). Knowledge of modern SDLC and DevSecOps operating models. Compensation / Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $125,000 to $165,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here (). Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. Job ID: 328396 Posted On: 2026-05-29 Location: Princeton, New Jersey, United States
10/06/2026
Full time
About the Role Grade Level (for internal use): 12 The DevSecOps Engineer - Artifact Management & Software Supply Chain Security focuses on securing and governing enterprise artifact and dependency management platforms. This role combines DevSecOps, application security, and cloud security to ensure that build artifacts and dependencies are trusted, curated, and consumed securely across CI/CD pipelines and cloud environments. Key Responsibilities Design, deploy, and operate enterprise artifact repository platforms supporting cloud and hybrid environments. Define and enforce package curation, promotion, and trust models aligned with application security and compliance requirements. Implement and govern waiver and approval workflows for dependency and artifact usage, ensuring risk based decision making. Partner with AppSec, platform, and engineering teams to standardize secure dependency and artifact consumption patterns. Define and maintain repository architectures supporting multiple environments, teams, and trust boundaries. Enforce policies ensuring artifact immutability, provenance, versioning, and trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls. Implement safeguards against AI specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity. Collaborate with engineering teams to establish secure by design AI application architectures. Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance). Secure AI related secrets, tokens, and API access used in pipelines and applications. Monitor and respond to security risks introduced by AI/ML components, including third party models and APIs. Contribute to AI risk governance, auditability, and traceability across the SDLC. Stay current on emerging AI security threats, vulnerabilities, and regulatory expectations. Align artifact and dependency controls with cloud security best practices for deployed applications. Monitor usage, risk posture, and effectiveness of artifact controls and drive continuous improvement. Develop automation and policy as code for artifact lifecycle management, approvals, and governance. Support security incident investigations related to software supply chain integrity or dependency risk. Create documentation, standards, and enablement materials for secure developer adoption. Required Qualifications Bachelor's degree in Computer Science, Engineering, Cybersecurity, or equivalent experience. 3-6 years of experience in DevSecOps, platform security, or software supply chain security. Strong hands on experience with JFrog Artifactory, including deployment and enterprise architecture. Experience designing package curation and promotion models. Foundational understanding of AI/ML and Generative AI concepts, including LLMs and model lifecycle. Knowledge of AI/ML security risks such as prompt injection, data poisoning, model evasion, and data leakage. Experience integrating AI or ML components into applications or pipelines (preferred hands on exposure). Familiarity with Responsible AI principles and AI governance frameworks. Experience implementing waiver and approval workflows for dependencies and artifacts. Strong understanding of application security principles and dependency risk management. Hands on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines. Experience working in cloud environments (Azure preferred; AWS/GCP acceptable). Proficiency with automation and scripting (Python, Groovy, Terraform, etc.). Knowledge of modern SDLC and DevSecOps operating models. Compensation / Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $125,000 to $165,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here (). Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. Job ID: 328396 Posted On: 2026-05-29 Location: Princeton, New Jersey, United States
Google Inc. is looking for a Manager for their Generative Artificial Intelligence Forward Deployed Engineering team. This role involves leading a skilled team of AI/ML engineers to develop bespoke solutions for clients, ensuring high technical standards and collaborating closely with sales and product teams. Ideal candidates should have extensive experience in cloud computing, strong coding skills, and a relevant degree. Join Google to drive innovation in AI for businesses globally.
09/06/2026
Full time
Google Inc. is looking for a Manager for their Generative Artificial Intelligence Forward Deployed Engineering team. This role involves leading a skilled team of AI/ML engineers to develop bespoke solutions for clients, ensuring high technical standards and collaborating closely with sales and product teams. Ideal candidates should have extensive experience in cloud computing, strong coding skills, and a relevant degree. Join Google to drive innovation in AI for businesses globally.
Senior Forward Deployed Developer, Google Cloud, Applied AI Corporate fare Google place London, UK Bachelor's degree or equivalent practical experience. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward. As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real world issues for our customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. Responsibilities Partner directly with customers to understand their business issues. Design, co develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value. Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization. Act as a high level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
09/06/2026
Full time
Senior Forward Deployed Developer, Google Cloud, Applied AI Corporate fare Google place London, UK Bachelor's degree or equivalent practical experience. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience with data structures and algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full stack as we continue to push technology forward. As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real world issues for our customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. Responsibilities Partner directly with customers to understand their business issues. Design, co develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value. Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization. Act as a high level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Senior Full Stack Developer 12-Month Fixed-Term Contract Hybrid Working (2 Days per Week in London) Salary 54,000 - 61,000 pa plus generous pension and holidays A prestigious client is seeking an experienced Senior Full Stack Developer to join a high-performing technology team delivering innovative AI and automation solutions at scale. This is an exciting opportunity to work on a modern, cloud-native platform using cutting-edge technologies across backend services, integrations, and user-facing applications. You'll play a key role in shaping engineering standards, influencing technical direction, and delivering high-quality software within a collaborative Agile environment. The Role As a Senior Full Stack Developer, you will focus primarily on backend engineering using Go , while also contributing to modern React-based frontend applications. You'll work closely with developers, architects, and product teams to build scalable, secure, and observable solutions deployed through Kubernetes-based infrastructure. This is a hands-on senior engineering role ideal for someone who enjoys solving complex technical challenges, mentoring others, and driving best practice across software delivery. Key Responsibilities Design, develop and maintain scalable backend services in Go Build modern frontend applications using React Develop APIs, integrations and event-driven services Contribute to CI/CD pipelines and cloud-native deployments Review code and champion engineering best practices Improve application performance, observability and reliability Collaborate within Agile delivery teams across multiple projects Support technical decision-making and continuous improvement Skills & Experience We are looking for candidates with strong commercial experience in: Go / Golang backend development Full stack software engineering within Agile environments REST APIs, integrations and distributed systems React and modern frontend development CI/CD, Git and cloud-based delivery practices Docker and Kubernetes Code reviews, testing and engineering governance Experience with any of the following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD / Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility Collaborative, forward-thinking engineering environment High-profile programme of work with real organisational impact 54,000 - 61,000 salary and benefits package If you are a passionate senior engineer looking for your next challenge within a modern technology environment, we would love to hear from you. Please send your CV to Laura at (url removed) Services advertised are those of an employment agency.
09/06/2026
Full time
Senior Full Stack Developer 12-Month Fixed-Term Contract Hybrid Working (2 Days per Week in London) Salary 54,000 - 61,000 pa plus generous pension and holidays A prestigious client is seeking an experienced Senior Full Stack Developer to join a high-performing technology team delivering innovative AI and automation solutions at scale. This is an exciting opportunity to work on a modern, cloud-native platform using cutting-edge technologies across backend services, integrations, and user-facing applications. You'll play a key role in shaping engineering standards, influencing technical direction, and delivering high-quality software within a collaborative Agile environment. The Role As a Senior Full Stack Developer, you will focus primarily on backend engineering using Go , while also contributing to modern React-based frontend applications. You'll work closely with developers, architects, and product teams to build scalable, secure, and observable solutions deployed through Kubernetes-based infrastructure. This is a hands-on senior engineering role ideal for someone who enjoys solving complex technical challenges, mentoring others, and driving best practice across software delivery. Key Responsibilities Design, develop and maintain scalable backend services in Go Build modern frontend applications using React Develop APIs, integrations and event-driven services Contribute to CI/CD pipelines and cloud-native deployments Review code and champion engineering best practices Improve application performance, observability and reliability Collaborate within Agile delivery teams across multiple projects Support technical decision-making and continuous improvement Skills & Experience We are looking for candidates with strong commercial experience in: Go / Golang backend development Full stack software engineering within Agile environments REST APIs, integrations and distributed systems React and modern frontend development CI/CD, Git and cloud-based delivery practices Docker and Kubernetes Code reviews, testing and engineering governance Experience with any of the following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD / Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility Collaborative, forward-thinking engineering environment High-profile programme of work with real organisational impact 54,000 - 61,000 salary and benefits package If you are a passionate senior engineer looking for your next challenge within a modern technology environment, we would love to hear from you. Please send your CV to Laura at (url removed) Services advertised are those of an employment agency.
Platform Engineer - AWS/Terraform Global Financial Services organisation Location: New York Salary: $150,000 - $180,000 + benefits + bonus Hybrid: In office 3 days per week Customer Success Manager Monitoring & Observability Financial Services Location: London (Hybrid) Salary: Circa £100,000 + Bonus + Benefits This is a high-impact Customer Success opportunity with a well-established Software Asset Management (SAM) Practitioner - EMEA (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) Job Description: A tier one fin IT Asset Management (ITAM) Practitioner - Hardware & CMDB (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) The Job: A leading Investment Bank Senior Enterprise Sales Financial Markets Observability & Infrastructure Software Location: London / Hybrid Salary: £120k-£140k base x2 OTE uncapped This is a high-growth, PE backed technology platform used b Account Executive AI Infrastructure Financial Services Enterprise SaaS Location: London (Hybrid) Salary: £100,000 - £140,000 base + uncapped commission + equity A high growth AI infrastructure business is hiring an Customer Success - Forward Deployed Engineer (FDE) AI Platform Banking & Enterprise Technology Location: London (Hybrid - Canary Wharf) Salary: £80,000-£100,000 + equity potential A highly backed AI firm ente Product Consultant - (Fintech Payments) Rate: £1,000 - £1,500 per day (Outside IR35) Contract: 6-month initial contract Location: London (remote first policy) We are partnering with a leading, high grow
09/06/2026
Full time
Platform Engineer - AWS/Terraform Global Financial Services organisation Location: New York Salary: $150,000 - $180,000 + benefits + bonus Hybrid: In office 3 days per week Customer Success Manager Monitoring & Observability Financial Services Location: London (Hybrid) Salary: Circa £100,000 + Bonus + Benefits This is a high-impact Customer Success opportunity with a well-established Software Asset Management (SAM) Practitioner - EMEA (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) Job Description: A tier one fin IT Asset Management (ITAM) Practitioner - Hardware & CMDB (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) The Job: A leading Investment Bank Senior Enterprise Sales Financial Markets Observability & Infrastructure Software Location: London / Hybrid Salary: £120k-£140k base x2 OTE uncapped This is a high-growth, PE backed technology platform used b Account Executive AI Infrastructure Financial Services Enterprise SaaS Location: London (Hybrid) Salary: £100,000 - £140,000 base + uncapped commission + equity A high growth AI infrastructure business is hiring an Customer Success - Forward Deployed Engineer (FDE) AI Platform Banking & Enterprise Technology Location: London (Hybrid - Canary Wharf) Salary: £80,000-£100,000 + equity potential A highly backed AI firm ente Product Consultant - (Fintech Payments) Rate: £1,000 - £1,500 per day (Outside IR35) Contract: 6-month initial contract Location: London (remote first policy) We are partnering with a leading, high grow
Platform Engineer - AWS/Terraform Global Financial Services organisation Location: New York Salary: $150,000 - $180,000 + benefits + bonus Hybrid: In office 3 days per week Customer Success Manager Monitoring & Observability Financial Services Location: London (Hybrid) Salary: Circa £100,000 + Bonus + Benefits This is a high-impact Customer Success opportunity with a well-established Software Asset Management (SAM) Practitioner - EMEA (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) Job Description: A tier one fin IT Asset Management (ITAM) Practitioner - Hardware & CMDB (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) The Job: A leading Investment Bank Senior Enterprise Sales Financial Markets Observability & Infrastructure Software Location: London / Hybrid Salary: £120k-£140k base x2 OTE uncapped This is a high-growth, PE backed technology platform used b Account Executive AI Infrastructure Financial Services Enterprise SaaS Location: London (Hybrid) Salary: £100,000 - £140,000 base + uncapped commission + equity A high growth AI infrastructure business is hiring an Customer Success - Forward Deployed Engineer (FDE) AI Platform Banking & Enterprise Technology Location: London (Hybrid - Canary Wharf) Salary: £80,000-£100,000 + equity potential A highly backed AI firm ente Product Consultant - (Fintech Payments) Rate: £1,000 - £1,500 per day (Outside IR35) Contract: 6-month initial contract Location: London (remote first policy) We are partnering with a leading, high grow
09/06/2026
Full time
Platform Engineer - AWS/Terraform Global Financial Services organisation Location: New York Salary: $150,000 - $180,000 + benefits + bonus Hybrid: In office 3 days per week Customer Success Manager Monitoring & Observability Financial Services Location: London (Hybrid) Salary: Circa £100,000 + Bonus + Benefits This is a high-impact Customer Success opportunity with a well-established Software Asset Management (SAM) Practitioner - EMEA (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) Job Description: A tier one fin IT Asset Management (ITAM) Practitioner - Hardware & CMDB (Fintech / Banking) Rate: £650-£800 per day Inside IR35 Contract: 6 month Location: London (Hybrid: 2-3 days per week) The Job: A leading Investment Bank Senior Enterprise Sales Financial Markets Observability & Infrastructure Software Location: London / Hybrid Salary: £120k-£140k base x2 OTE uncapped This is a high-growth, PE backed technology platform used b Account Executive AI Infrastructure Financial Services Enterprise SaaS Location: London (Hybrid) Salary: £100,000 - £140,000 base + uncapped commission + equity A high growth AI infrastructure business is hiring an Customer Success - Forward Deployed Engineer (FDE) AI Platform Banking & Enterprise Technology Location: London (Hybrid - Canary Wharf) Salary: £80,000-£100,000 + equity potential A highly backed AI firm ente Product Consultant - (Fintech Payments) Rate: £1,000 - £1,500 per day (Outside IR35) Contract: 6-month initial contract Location: London (remote first policy) We are partnering with a leading, high grow
Cyber Advisory Services Manager Location: London or Peterborough with potential travel to divisional sites as required by advisory engagements (hybrid working arrangements in place). Working Pattern: 37.5 hours per week, Monday - Friday. Salary: £84,000 - £100,000 Benefits: Car allowance, Bupa, Matched pension contributions. Group Cyber Security Overview The Group Cyber Security (GCS) team is responsible for managing cyber risk appropriately across the Group and has recently refreshed its cyber strategy, with a renewed focus on embedding cyber security as part of the culture and DNA. The Group operates a highly federated business model spanning 11 divisions and over 50 countries, and the cyber strategy has been designed to build materially improved security capabilities whilst working with a divisional focus. It is an exciting time to join GCS. We are in a period of significant investment, with a multi year transformation programme under way to build new security capabilities at pace. GCS is responsible for setting the Group cyber standard, measuring compliance against it across all the businesses, and delivering a portfolio of centrally managed security services that divisions can rely on. Role Summary Reporting to the Deputy Group CISO, the Cyber Advisory Services Manager leads the GCS consulting and advisory capability - the function that turns Group cyber standards and expertise into practical, tailored support for all the divisions. This is a role for a confident, credible cyber security generalist with strong consulting instincts: someone who is equally comfortable advising a divisional CIO on strategic security posture, reviewing a firewall ruleset for technical debt, or scoping the cyber workstream of a merger integration programme. The role provides a broad portfolio of advisory services to the Group and its divisions, including technical standards advice and interpretation; security configuration, rule base assessment and policy change support; input to non functional security requirements for Group and divisional programmes; cyber security input to mergers, acquisitions, and divestiture activity; and the deployment of specialist consulting resource into divisions that need temporary uplift in cyber capability. The Cyber Advisory Services Manager acts as an important feedback loop into GCS: gathering intelligence from divisional engagements that informs the evolution of Group standards, identifies emerging needs, and ensures that GCS remains relevant and responsive to the businesses it serves. The role works in close partnership with the Cyber Architecture Manager, the Head of Cyber Assurance, and the Security Platform Engineering Manager to ensure that advisory activity is consistent with and supportive of the broader GCS strategy. Technical Standards Advisory & Interpretation Provide authoritative advice to divisions, business units, and Group functions on the interpretation and practical application of the Group cyber technical standards and security policies; acting as the primary advisory interface between GCS and the divisions on matters of standards compliance, technology and implementation. Help divisions translate Group cyber standards into their specific operational context - providing pragmatic, risk proportionate guidance on what good looks like in their environment, and a credible path from current state to compliant state. Feed intelligence from divisional advisory engagements back into the standards development process; identify where standards are unclear, impractical, or creating unintended barriers, and work with the Cyber Architecture Manager and Head of Cyber Assurance to drive improvements. Rule Base Assessment & Security Policy Change Lead and deliver security configuration and rule base reviews and security policy assessments for Group and divisional environments; identify technical debt, overly permissive rules, obsolete entries, and configuration drift, and provide clear, prioritised remediation recommendations. Provide technical review and advisory support for security policy change requests from divisions, assessing proposed changes against Group standards and architectural principles, and providing a clear recommendation with appropriate justification. Develop and maintain a structured approach to rule base and policy review across the Group, including tooling, methodology, scheduling, and output standards, ensuring consistent and repeatable assessment quality across different divisional environments. Non Functional Security Requirements Provide security input to non functional requirements (NFRs) for Group and divisional programmes and projects; define the security properties that technology solutions must meet - covering areas such as authentication, authorisation, encryption, logging, resilience, and data classification - in a form that is actionable by project and engineering teams. Maintain and evolve a Group standard NFR library derived from the Group cyber technical standards, enabling consistent security requirements to be applied across the programme portfolio without reinventing them for each project; work with the Cyber Architecture Manager to ensure NFRs remain aligned to the enterprise architecture. Engage with divisional and Group programme teams at the point where security NFRs are being defined, ensuring security is embedded by design rather than added retrospectively; provide advisory support through the project lifecycle where security design decisions need to be revisited or refined. Mergers, Acquisitions & Strategic Project Support Lead the GCS advisory contribution to mergers, acquisitions, and divestiture activity; scope and deliver the cyber workstream in M&A programmes, covering pre deal due diligence support, integration planning, and the transition of acquired entities onto the Group cyber standard. Provide cyber advisory resource and expertise to other significant Group and divisional strategic programmes - including major technology transformations, ERP deployments, cloud migrations, and site openings or closures - ensuring security considerations are addressed at the right point in the programme lifecycle. Maintain a forward view of the M&A and strategic programme pipeline in collaboration with Group corporate development and divisional leadership, enabling advisory resource to be planned and mobilised proactively rather than reactively. Divisional Resource Augmentation & Flexible Resourcing Pool Manage the GCS flexible resourcing pool as an advisory and consulting resource, deploying cyber consultants and specialist advisors into divisions that require temporary uplift in security capability - whether to support a programme, fill a capability gap, or accelerate compliance with Group standards. Work with divisional BISOs, CIOs, and IT security leads to understand their advisory and resource needs; define the scope and objectives of each deployment clearly, brief and onboard resources appropriately, and ensure that the output of each engagement meets the division's needs and GCS quality standards. Manage the demand pipeline for advisory and flexible resource deployments; prioritise requests in line with Group risk priorities, balance supply against demand, and ensure that resourcing decisions are transparent and agreed with the Deputy CISO and relevant divisional stakeholders. Ensure that flexible resources deployed into divisions are competent, well briefed on standards and culture, and set up to add genuine value from day one; maintain quality standards across the pool and build a pipeline of trusted specialists who understand the environment. Divisional Engagement & GCS Intelligence Loop Build and sustain trusted relationships with divisional BISOs, security leads, CIOs, and IT directors across all 11 divisions; position the Cyber Advisory Services function as a valued, accessible, and practical source of cyber expertise - not a bureaucratic overhead. Use divisional advisory engagements as an active intelligence gathering mechanism; identify common themes, recurring challenges, emerging risks, and capability gaps across the estate, and bring these insights back to the GCS Leadership Team to inform strategy, standards development, and investment priorities. Champion the GCS advisory model as a two way relationship; ensure divisions feel heard and that their feedback genuinely influences how GCS operates, while maintaining the Group standards and non negotiables that the advisory function exists to support. Team Leadership, Quality & Continuous Improvement Lead and develop the permanent Cyber Advisory Services team; set clear standards of advisory quality, professional conduct, and output, and foster a culture where consultants take personal pride in the value they add to the divisions they support. Develop and maintain a service catalogue for the Cyber Advisory Services function that clearly articulates what the function offers, how to engage it, what divisions can expect, and how outcomes will be measured; make the function easy to access and straightforward to work with. Work in close partnership with the Cyber Architecture Manager, Head of Cyber Assurance, and Security Platform Engineering Manager to ensure advisory activity is consistent with the GCS strategy, avoids duplication of effort, and is integrated into the broader GCS operating model. Experience, Knowledge, Skills & Attributes - Essential Experience 10+ years in cyber security, with a significant portion in advisory, consulting, or technical leadership roles requiring breadth across multiple security domains click apply for full job details
09/06/2026
Full time
Cyber Advisory Services Manager Location: London or Peterborough with potential travel to divisional sites as required by advisory engagements (hybrid working arrangements in place). Working Pattern: 37.5 hours per week, Monday - Friday. Salary: £84,000 - £100,000 Benefits: Car allowance, Bupa, Matched pension contributions. Group Cyber Security Overview The Group Cyber Security (GCS) team is responsible for managing cyber risk appropriately across the Group and has recently refreshed its cyber strategy, with a renewed focus on embedding cyber security as part of the culture and DNA. The Group operates a highly federated business model spanning 11 divisions and over 50 countries, and the cyber strategy has been designed to build materially improved security capabilities whilst working with a divisional focus. It is an exciting time to join GCS. We are in a period of significant investment, with a multi year transformation programme under way to build new security capabilities at pace. GCS is responsible for setting the Group cyber standard, measuring compliance against it across all the businesses, and delivering a portfolio of centrally managed security services that divisions can rely on. Role Summary Reporting to the Deputy Group CISO, the Cyber Advisory Services Manager leads the GCS consulting and advisory capability - the function that turns Group cyber standards and expertise into practical, tailored support for all the divisions. This is a role for a confident, credible cyber security generalist with strong consulting instincts: someone who is equally comfortable advising a divisional CIO on strategic security posture, reviewing a firewall ruleset for technical debt, or scoping the cyber workstream of a merger integration programme. The role provides a broad portfolio of advisory services to the Group and its divisions, including technical standards advice and interpretation; security configuration, rule base assessment and policy change support; input to non functional security requirements for Group and divisional programmes; cyber security input to mergers, acquisitions, and divestiture activity; and the deployment of specialist consulting resource into divisions that need temporary uplift in cyber capability. The Cyber Advisory Services Manager acts as an important feedback loop into GCS: gathering intelligence from divisional engagements that informs the evolution of Group standards, identifies emerging needs, and ensures that GCS remains relevant and responsive to the businesses it serves. The role works in close partnership with the Cyber Architecture Manager, the Head of Cyber Assurance, and the Security Platform Engineering Manager to ensure that advisory activity is consistent with and supportive of the broader GCS strategy. Technical Standards Advisory & Interpretation Provide authoritative advice to divisions, business units, and Group functions on the interpretation and practical application of the Group cyber technical standards and security policies; acting as the primary advisory interface between GCS and the divisions on matters of standards compliance, technology and implementation. Help divisions translate Group cyber standards into their specific operational context - providing pragmatic, risk proportionate guidance on what good looks like in their environment, and a credible path from current state to compliant state. Feed intelligence from divisional advisory engagements back into the standards development process; identify where standards are unclear, impractical, or creating unintended barriers, and work with the Cyber Architecture Manager and Head of Cyber Assurance to drive improvements. Rule Base Assessment & Security Policy Change Lead and deliver security configuration and rule base reviews and security policy assessments for Group and divisional environments; identify technical debt, overly permissive rules, obsolete entries, and configuration drift, and provide clear, prioritised remediation recommendations. Provide technical review and advisory support for security policy change requests from divisions, assessing proposed changes against Group standards and architectural principles, and providing a clear recommendation with appropriate justification. Develop and maintain a structured approach to rule base and policy review across the Group, including tooling, methodology, scheduling, and output standards, ensuring consistent and repeatable assessment quality across different divisional environments. Non Functional Security Requirements Provide security input to non functional requirements (NFRs) for Group and divisional programmes and projects; define the security properties that technology solutions must meet - covering areas such as authentication, authorisation, encryption, logging, resilience, and data classification - in a form that is actionable by project and engineering teams. Maintain and evolve a Group standard NFR library derived from the Group cyber technical standards, enabling consistent security requirements to be applied across the programme portfolio without reinventing them for each project; work with the Cyber Architecture Manager to ensure NFRs remain aligned to the enterprise architecture. Engage with divisional and Group programme teams at the point where security NFRs are being defined, ensuring security is embedded by design rather than added retrospectively; provide advisory support through the project lifecycle where security design decisions need to be revisited or refined. Mergers, Acquisitions & Strategic Project Support Lead the GCS advisory contribution to mergers, acquisitions, and divestiture activity; scope and deliver the cyber workstream in M&A programmes, covering pre deal due diligence support, integration planning, and the transition of acquired entities onto the Group cyber standard. Provide cyber advisory resource and expertise to other significant Group and divisional strategic programmes - including major technology transformations, ERP deployments, cloud migrations, and site openings or closures - ensuring security considerations are addressed at the right point in the programme lifecycle. Maintain a forward view of the M&A and strategic programme pipeline in collaboration with Group corporate development and divisional leadership, enabling advisory resource to be planned and mobilised proactively rather than reactively. Divisional Resource Augmentation & Flexible Resourcing Pool Manage the GCS flexible resourcing pool as an advisory and consulting resource, deploying cyber consultants and specialist advisors into divisions that require temporary uplift in security capability - whether to support a programme, fill a capability gap, or accelerate compliance with Group standards. Work with divisional BISOs, CIOs, and IT security leads to understand their advisory and resource needs; define the scope and objectives of each deployment clearly, brief and onboard resources appropriately, and ensure that the output of each engagement meets the division's needs and GCS quality standards. Manage the demand pipeline for advisory and flexible resource deployments; prioritise requests in line with Group risk priorities, balance supply against demand, and ensure that resourcing decisions are transparent and agreed with the Deputy CISO and relevant divisional stakeholders. Ensure that flexible resources deployed into divisions are competent, well briefed on standards and culture, and set up to add genuine value from day one; maintain quality standards across the pool and build a pipeline of trusted specialists who understand the environment. Divisional Engagement & GCS Intelligence Loop Build and sustain trusted relationships with divisional BISOs, security leads, CIOs, and IT directors across all 11 divisions; position the Cyber Advisory Services function as a valued, accessible, and practical source of cyber expertise - not a bureaucratic overhead. Use divisional advisory engagements as an active intelligence gathering mechanism; identify common themes, recurring challenges, emerging risks, and capability gaps across the estate, and bring these insights back to the GCS Leadership Team to inform strategy, standards development, and investment priorities. Champion the GCS advisory model as a two way relationship; ensure divisions feel heard and that their feedback genuinely influences how GCS operates, while maintaining the Group standards and non negotiables that the advisory function exists to support. Team Leadership, Quality & Continuous Improvement Lead and develop the permanent Cyber Advisory Services team; set clear standards of advisory quality, professional conduct, and output, and foster a culture where consultants take personal pride in the value they add to the divisions they support. Develop and maintain a service catalogue for the Cyber Advisory Services function that clearly articulates what the function offers, how to engage it, what divisions can expect, and how outcomes will be measured; make the function easy to access and straightforward to work with. Work in close partnership with the Cyber Architecture Manager, Head of Cyber Assurance, and Security Platform Engineering Manager to ensure advisory activity is consistent with the GCS strategy, avoids duplication of effort, and is integrated into the broader GCS operating model. Experience, Knowledge, Skills & Attributes - Essential Experience 10+ years in cyber security, with a significant portion in advisory, consulting, or technical leadership roles requiring breadth across multiple security domains click apply for full job details
AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent £50,000 - £99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic / autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (e.g. LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs / Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand at
09/06/2026
Full time
AI Forward Deployed Engineer (Multiple Levels) Hybrid: 3 days per week in Birmingham Permanent £50,000 - £99,000 + very competitive bonus We are partnering with a leading Consultancy as they continue to invest heavily in their Deals Technology and AI capability. As part of a major growth initiative, they are hiring AI Forward Deployed Engineers across multiple seniority levels (Senior Associate through to Senior Manager) to sit at the intersection of AI engineering and high-value business transactions. This is a unique opportunity to work on cutting-edge AI applications in live deal environments, helping clients navigate complex challenges across M&A, due diligence, integration, and post-deal value creation. What You'll Be Doing Designing and deploying AI-driven solutions directly into live scenarios Working closely with teams and clients to identify where AI can unlock value Building solutions using Large Language Models (LLMs), Agentic / autonomous AI workflows, Retrieval-Augmented Generation (RAG), Modern AI tooling (e.g. LangChain, vector databases, APIs) Rapidly prototyping and iterating on solutions within fast-paced timelines Translating complex technical concepts into practical, commercial outcomes Contributing to the development of reusable tools, frameworks, and best practices What They're Looking For Strong software engineering fundamentals (Python, APIs, version control, testing) Experience working with modern AI technologies, such as LLMs / Generative AI, RAG pipelines, Agent-based architectures Ability to work in fast-paced, ambiguous environments and deliver tangible outcomes quickly Strong communication skills and comfort working in client-facing settings A proactive mindset with a focus on building and delivering real solutions Level-Specific Expectations (Each level remains very hands-on still) Senior Associate Hands-on engineering focus Building and supporting delivery of AI solutions Ideal for candidates developing experience in applied AI Manager Owning end-to-end solution delivery Leading design and build of AI systems Balancing technical depth with stakeholder interaction Senior Manager Leading multiple engagements and influencing senior stakeholders Shaping AI strategy within deal environments Coaching teams and driving growth of the capability If you'd like to learn more, please contact Jacob Ferdinand at
Forward Deployed Engineer - SC Cleared - £150,000 - £160,000 base + Bonus, AI Consultancy Role: Forward Deployed Engineer - SC Cleared Package: £150,000 - £160,000 base + bonus + options Industry background: Customer Facing/Consultancy/AI/Data/SC Cleared We are exclusively partnered with a US scale up looking for an experienced Forward Deployed Engineer to join them as they look to build their UK presence. They work within 3 vertical markets within the AI Sector and given the nature of the work, we can't disclose the company until we're on a phone call. You will be the first Forward Deployed Engineer joining their ranks in the UK and as such, could result in promotions, progression and autonomy. This position is London based but primarily remote, with weekly client meetings. You will act as the conduit between the core engineering teams and their customer. The Role will be to design, implement and deploy AI-Powered solutions within complex, real-world environments, working directly with customers to tailor the technology to meet their needs and their most immediate challenges. Naturally with this in mind for this Forward Deployed position, we are looking for strong engineering skills to match, a self-starter Forward Deployed Engineer as well as brilliant communication. An experienced individual ideally coming from a customer-facing or consulting background. Someone from a software engineering, data engineering or applied ML background. Curious and a strong problem solver who is comfortable within a fast-moving environment. An individual who works well with enterprise customers and senior stakeholders. Technical Requirements: Python / Typescript or similar engineering languages is a must Experience working with APIs, cloud infrastructure and data processing. Previous experience within AI tech such as LLMs, RAG, embedding, vector databases is a big plus as is any previous experience within an AI, Data or B2B SaaS company. This is a great time to be joining this company as they continue to grow across all customer verticals.
09/06/2026
Full time
Forward Deployed Engineer - SC Cleared - £150,000 - £160,000 base + Bonus, AI Consultancy Role: Forward Deployed Engineer - SC Cleared Package: £150,000 - £160,000 base + bonus + options Industry background: Customer Facing/Consultancy/AI/Data/SC Cleared We are exclusively partnered with a US scale up looking for an experienced Forward Deployed Engineer to join them as they look to build their UK presence. They work within 3 vertical markets within the AI Sector and given the nature of the work, we can't disclose the company until we're on a phone call. You will be the first Forward Deployed Engineer joining their ranks in the UK and as such, could result in promotions, progression and autonomy. This position is London based but primarily remote, with weekly client meetings. You will act as the conduit between the core engineering teams and their customer. The Role will be to design, implement and deploy AI-Powered solutions within complex, real-world environments, working directly with customers to tailor the technology to meet their needs and their most immediate challenges. Naturally with this in mind for this Forward Deployed position, we are looking for strong engineering skills to match, a self-starter Forward Deployed Engineer as well as brilliant communication. An experienced individual ideally coming from a customer-facing or consulting background. Someone from a software engineering, data engineering or applied ML background. Curious and a strong problem solver who is comfortable within a fast-moving environment. An individual who works well with enterprise customers and senior stakeholders. Technical Requirements: Python / Typescript or similar engineering languages is a must Experience working with APIs, cloud infrastructure and data processing. Previous experience within AI tech such as LLMs, RAG, embedding, vector databases is a big plus as is any previous experience within an AI, Data or B2B SaaS company. This is a great time to be joining this company as they continue to grow across all customer verticals.
