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Software Engineer (C++ & Swift) page is loaded Senior Software Engineer (C++ & Swift)locations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR101692Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The Darktrace Active AI Security Platform(TM) delivers a proactive approach to cyber resilience to secure the business across the entire digital estate - from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world. To learn more, visit . Job D escription : Join our esteemed R&D teams in Cambridge, where you'll play a pivotal role in the development and enhancement of products driving our company's rapid growth. As a Senior Software Engineer, you'll lead and contribute across a broad range of initiatives using a diverse and modern technology stack.Please note this is a hybrid role and requires attendance in the Cambridge office 2 days a weekWhat will I be doing: Building, designing, and maintaining the macOS codebase using modern C++ and Swift; Leading and contributing to projects ranging from rapid prototyping of new ideas to the structured development of existing platforms; Collaborating closely with cross functional teams to deliver robust, high quality solutions; Participating in and contributing to code reviews to ensure engineering excellence and knowledge sharing; Writing and maintaining high quality tests, documentation, and developer enablement materials; Driving the advancement of our unique methodology for defending against unknown cyber attacks; Fostering innovation and creativity in your approach, alongside traditional project based development; Developing and mentoring team members in core competencies across multiple programming languages, with opportunities to specialise in specific technology areas.What experience do i need:We seek senior engineers with a solution focused mindset and a highly analytical approach to problem solving. During the interview process, you'll demonstrate your ability to write production quality code and reason clearly about complex systems. You should be: Strong experience in modern C++ ; Experienced with Swift or keen to deepen your expertise; Knowledgeable in Unix/macOS development environments; Comfortable working autonomously, making sound technical decisions, while collaborating effectively within a team; Knowledgeable or deeply interested in cyber security and malware forensics; Experienced in statistical analysis of static or dynamic systems; Proficient with Docker, Familiar with cloud computing environments. Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of service, Additional day off for your birthday, Private medical insurance which covers you, your cohabiting partner and children, Life insurance of 4 times your base salary, Salary sacrifice pension scheme, Enhanced family leave, Confidential Employee Assistance Program, Cycle to work scheme.

The AI Architect is a strategic technical partner to the commercial leadership team, responsible for building AI-powered infrastructure that drives predictable, scalable revenue growth. You will combine advanced engineering with commercial analytics, creating intelligent systems that automate workflows, surface insights and enhance decision-making across Sales, Marketing and Customer Success. This is a hands-on, technical role for someone who enjoys building production systems, deploying models and solving real business problems with AI. You'll be responsible for both AI engineering (LLMs, ML models, intelligent automation) and foundational commercial analytics, ensuring the business has robust data infrastructure alongside intelligent capabilities that provide genuine competitive advantage. You will own commercial analytics and the technical architecture of our commercial data ecosystem, whilst building AI solutions that transform how teams operate. A core expectation is to champion an AI-first approach: using AI and automation not just to make existing processes more efficient, but to help the organisation re-imagine how we work. Key Responsibilities AI Engineering & Intelligent Automation Design, build and deploy production AI solutions that drive commercial efficiency and unlock new capabilities for GTM teams. Develop and maintain machine learning models for revenue forecasting, pipeline prediction, lead scoring, churn risk and expansion opportunity identification. Build intelligent automation using LLMs and AI agents to streamline commercial processes (deal analysis, customer sentiment analysis, competitive intelligence, automated reporting). Create AI-enhanced analytics capabilities that surface patterns, anomalies and opportunities that traditional methods would miss. Prototype and ship AI-enabled workflows rapidly, using tools like Claude, coding assistants and modern AI platforms. Evaluate and integrate emerging AI tools, establishing best practices for responsible AI deployment across commercial teams. Partner with Sales, Marketing and Customer Success to identify high-impact opportunities for AI-driven improvement. Revenue Analytics & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Build sophisticated analytics combining traditional methods and ML approaches to surface leading indicators and inform proactive decision-making. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Commercial Systems & Data Infrastructure Own the technical architecture of the commercial data ecosystem, ensuring clean data flow between Salesforce, marketing platforms, product analytics and data warehouses. Act as commercial data and systems owner: define data models, governance, definitions and quality standards. Drive Salesforce technical excellence where needed: build custom objects, fields, automation and integrations that reflect business logic. Build and maintain executive-level dashboards (e.g. in QuickSight or similar) combining traditional metrics with AI-generated insights. Ensure seamless integration between product telemetry, CRM data and commercial analytics systems. Stakeholder Management & Technical Leadership Operate as a trusted advisor to the COO, CCO and commercial leadership on AI capabilities and data-driven strategy. Work closely with leaders such as the VP Sales, VP Customer and VP Marketing to understand their questions, then design AI tools and analysis that answer them. Communicate complex technical concepts clearly to non-technical stakeholders; frame problems and recommend solutions with clarity. Build strong cross-functional relationships with Finance and Commercial teams, influencing without authority. Support onboarding and enablement of commercial team members on AI-powered tools, dashboards and new ways of working. Establish responsible AI practices, addressing bias, explainability and ethical considerations in commercial AI applications. Essential 4+ years in AI/ML Engineering, Data Science, Software Engineering or Commercial Analytics with demonstrated AI application development. Proven ability to work with LLMs and AI agents (OpenAI, Anthropic, open-source models) to build practical business applications. Familiarity with prompt engineering, RAG (retrieval-augmented generation) architectures and fine-tuning approaches. Confident working with APIs, databases and modern data stacks, comfortable learning new tools quickly. Comfortable working with product usage and adoption data Ability to translate business problems into technical solutions and measure impact on commercial outcomes. Excellent communication skills: comfortable presenting to C-suite and translating technical work into business value. Pragmatic builder: bias for shipping working solutions over perfect architectures. Desirable Experience working with CRM systems and commercial datasets (Salesforce experience highly desirable). Experience with sales engagement and email marketing platforms (Outreach, Salesloft, HubSpot). Background in Revenue Operations, Commercial Analytics or SaaS growth analytics. Experience with BI tools (Tableau, Looker, Power BI) and AWS QuickSight. Understanding of causal inference methods for measuring intervention impact. Experience in legal tech, professional services software or complex B2B sales environments. Track record of building internal tools or platforms used by non-technical teams. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale-ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.

The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.

Job Purpose This role is part of the DPG Platform Engineering Team, responsible for driving the adoption and consumption of cloud infrastructure. The role conducts the architecture, build and migration of new and legacy platforms to a Cloud and DevOps practice and facilitates the consumption of cloud services across the business. Reporting to the Head of Cloud Engineering, the role contributes to the IT and Platform Engineering Road Map and champions the use of cloud services. The role focuses on improving stability, security, and availability of the cloud platform. Key Responsibilities/Job Tasks Clloud Platform Delivery and Enablement Provide line management, coaching, and development for the Platform Services team. Build a high performing, accountable engineering team with clear ownership and standards. Set direction, priorities, and ways of working for the team. Manage workload, capacity, and on call or support responsibilities where required. Infrastructure Delivery Own the design and build of on premise infrastructure across data centres, offices, and supply chain environments. Lead the infrastructure workstream for project implementations, from design through to handover. Ensure solutions are supportable, secure, and aligned to architectural standards. Act as the escalation point for complex technical issues and major incidents. Core Technology Ownership Servers, storage, and virtualisation platforms. Networking, firewalls, and connectivity within the data centre and wider estate. Dedicated hosting environments and associated third party services. Infrastructure monitoring, patching, resilience, and lifecycle management. Project Coordination Plan and coordinate infrastructure delivery across multiple concurrent projects. Work closely with product, application, and business teams to define infrastructure requirements. Manage dependencies, risks, and delivery timelines for the Platform Services team. Ensure clear documentation and operational readiness before go live. Operational Accountability Ensure platform stability, availability, and performance. Drive good incident, problem, and change management practices. Reduce repeat issues through root cause analysis and technical improvement. Maintain security, compliance, and audit requirements within infrastructure environments. Stakeholder and Vendor Management Act as the primary infrastructure point of contact for internal stakeholders. Manage key infrastructure vendors and service providers. Ensure third parties meet contractual, SLA, and security obligations. Skills & Job Requirements Strategic Responsibility The role holds accountability for inputting into functional strategy, ensuring delivery activity is aligned with broader business goals, technology roadmaps, and operational campaigns. It contributes to strategic planning by translating high level objectives into actionable delivery streams, ensuring technology deployments support customer and enterprise outcomes. Problem solving The role requires frequent resolution of complex issues through evaluation of multiple data sources, stakeholder inputs, and delivery constraints. It applies structured analysis, precedent awareness, and situational judgement to develop practical solutions that minimise disruption and maintain continuity, often within dynamic and changing environments. Decision making The role makes decisions within broad operational and business guidelines, frequently in areas where limited precedent or policy exists. It exercises autonomy in determining delivery prioritisation, resource allocation, and risk mitigation, with a direct impact on release integrity, delivery timelines, and stakeholder satisfaction. Communication Exceptional communication skills are required to influence, guide, and align cross functional teams and stakeholders. The role demands clarity in conveying complex information to both technical and non technical audiences, effective negotiation of competing priorities, and proactive engagement across senior and delivery facing groups. Innovation The role actively contributes to change by identifying and implementing enhancements to delivery processes, governance practices, and performance oversight. It champions continuous improvement through structured analysis, routinely introducing optimisations that improve efficiency, reduce delivery risks, and support scalable, repeatable delivery models. Professional Qualifications Industry certifications in core infrastructure technologies such as VMware VCP, Microsoft Azure or Windows Server, Cisco CCNA/CCNP, or equivalent vendor qualifications. ITIL Foundation or Intermediate Certificate covering incident, problem, change, and operational lifecycle management. Relevant certifications in data centre, networking, virtualisation, or security platforms (e.g. Fortinet NSE, Nutanix, Dell/EMC, Cisco Meraki). Degree in Computer Science, Infrastructure Engineering, Information Technology or equivalent professional experience. Desirable: accreditation in automation, scripting, or infrastructure as code tooling (e.g. Terraform, PowerShell). Knowledge Deep understanding of on premise infrastructure including compute, storage, virtualisation, networking, firewalls, and data centre operations. Strong working knowledge of VMware, Windows Server, Active Directory, and core directory, DNS, DHCP and identity services. Familiarity with enterprise networking concepts including routing, switching, secure connectivity, and load balancing. Awareness of infrastructure lifecycle management, patching, resilience patterns, and capacity planning. Understanding of monitoring platforms, operational telemetry, and performance baselining for core infrastructure. Knowledge of incident, problem, change, and operational compliance frameworks (ITIL or equivalent). Familiarity with hardware vendors and platform ecosystems such as Dell/EMC, HPE, Cisco, Fortinet, Nutanix, or similar. Understanding of security principles relevant to infrastructure, including segmentation, privileged access, and hardening standards. Experience working within complex hybrid environments and enterprise estates with multiple dependent systems. Skills/Ability Proven leadership and line management of infrastructure engineers across multiple concurrent workstreams. Ability to design, plan, and deliver infrastructure solutions across data centres, offices, and supply chain environments. Strong capability in diagnosing complex infrastructure faults across servers, networks, storage, and virtualisation stacks. Skilled in coordinating technical changes, major upgrades, and platform transitions with minimal operational impact. Competent in evaluating risks, dependencies, and capacity constraints across critical infrastructure services. Ability to influence technical direction and set engineering standards for build quality, resilience, and operational readiness. Comfortable engaging with senior stakeholders on stability, risk, and major incident matters. Experienced in vendor management, including contract performance, SLAs, and support escalations. Able to operate effectively in fast paced, high availability environments with strict uptime expectations. Strong documentation discipline covering design, platform configuration, operational processes, and handover material.

Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The SRE Observability Specialist is a hands on expert, delivering the future of Observability across Services Technology. This role is a part of a central SRE enablement team within Services Production, working closely with SREs, developers, and platform teams to embed telemetry, implement SLOs, and build meaningful visualizations for key production flows - particularly in critical Payments Business. The ideal candidate will have deep technical knowledge, a collaborative mindset, and the ability to translate strategy into scalable engineering outcomes. You will also act as a bridge between Services Technology teams and central infrastructure/CTO teams, prioritising observability needs from line of business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential. This role requires providing a technological support solution for Project Orion which provides end to end payment monitoring like building an end to end payments dashboard, toil reduction, transformation of legacy monitoring into an observability based monitoring solution, requiring good understanding of different payments taxonomy (ACH, wires, instant payments, etc.). Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Key Responsibilities Define the roadmap for Engineering enablers for Project Orion team aligned with enterprise reliability and SRE Services organization goals. Translate organization strategy into an actionable delivery plan in partnership with Services Products, Operations & Engineering functions, delivering incremental, high value milestones. Understand critical business services functional scope and translate into end to end monitoring solutions. Deliver against the observability roadmap for Services Technology by building scalable, reusable telemetry solutions. Periodic review and analyse application monitoring toil and collaborate with stakeholders and remediate them as per organization goal. Create and maintain dashboards and visualisations for critical client journeys, including real time flows across payments. Guide line of business teams in implementing SLIs/SLOs, golden signals, and effective alerting to support operational excellence. Support integration and adoption of observability tooling across on prem, public cloud (AWS/GCP), and containerised environments (ECS, Kubernetes). Customise shared dashboards and observability components in partnership with CTI and other central engineering functions, ensuring usability and flexibility. Provide technical support and implementation guidance to SREs and developers facing integration or tooling challenges. Effectively manage the observability book of work for Services Technology and drive initiatives to reduce MTTD and improve recovery outcomes. Serve as a key connection point between line of business SREs and central infrastructure functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum. Stay current with observability trends, including AI/ML driven insights, anomaly detection, and emerging OSS practices, and assess their applicability. Maintain strong knowledge of observability platform features and vendor offerings to advise teams and maximise the value of tooling investments. Foster AI adoption by building use cases performed by Orion L1 functions and remediation using Citi AI tech stack. Qualifications Experience in SRE, observability engineering, or platform infrastructure roles focused on operational telemetry. Hands on experience in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Deep understanding of SLIs, SLOs, error budgets, and telemetry best practices in high availability environments. Proven ability to troubleshoot integration issues and support observability across hybrid platforms (on prem, cloud, containers). Experience building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Familiarity with modern observability tooling ecosystems, including AI/ML capabilities, trace correlation, baselining, and alert tuning. Strong interpersonal and collaboration skills - able to operate across federated engineering teams and central infrastructure groups. Experience in enablement or platform teams with a track record of scaling best practices across diverse business units. Education Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private medical care & life insurance Employee assistance programme Pension plan Paid parental leave Special discounts for employees, family, and friends Access to an array of learning and development resources Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Salary: £44,000 - 84,000 per year Requirements We have a proven track record in Data Engineering, ideally in a Lead or Principal Engineer role. We have experience working with cloud data platforms, particularly Google Cloud Platform. We have a strong understanding of Data Mesh principles; direct experience is beneficial. We have technical mentoring and coaching skills. We have extensive experience with Data Lake and Data Warehouse solutions. We have strong proficiency in SQL and Python. We have in depth knowledge of query optimisation techniques and tuning complex queries. We have strong understanding of data governance, including data dictionaries, MDM, lineage, data legislation, and PII handling. We have excellent communication skills and can work collaboratively with cross functional teams. We have experience working in Agile, Scrum, and SDLC environments. We have hands on experience with GCP tools such as BigQuery, DataFlow, Data Fusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. We have a strong understanding of distributed systems, cloud platforms, and modern data stacks. We have experience leading complex data solutions through design, build, and deployment. We have experience driving the implementation and adoption of CI/CD. We are self motivated, with strong leadership qualities and the ability to drive innovation. We can formulate plans to deliver a target state and work closely with managers and engineers to deliver that vision. Responsibilities We provide technical leadership across product domains. We define architecture and design for our data platform and data mesh. We mentor and build the capability of our data engineering team. We enable cross-domain interoperability. We support governance and compliance enablement. We contribute innovation and strategic influence. We ensure our data processes on the platform are robust, performant, and compliant. We oversee data ingestion, data quality and integrity, transformation, security, encryption, batch management, monitoring, alerting, and cost control. We help design and build our Data Mesh, including data modelling and processing from raw through semantic layers. We identify opportunities for automation and process improvement. We coach and mentor data engineers. We set coding standards and best practices. We implement and document data integrity and quality checks. We optimise queries. We facilitate data engineering collaboration across the team. We work closely with our Principal Data Platform Engineer and Data Domain Architect to ensure our platform and pipeline design is optimised and reliable. We document our approach and explain solutions to both engineers and non technical business users. We participate in the full development lifecycle of data products. We direct the work of other data engineers in the design, build, and deployment of complex data solutions. Technologies Airflow Architect BigQuery CI/CD Cloud Composer Data Warehouse GCP Support Python SQL Security DDD Flow More We are Places for People, the UKs leading social enterprise, and we hire people, not numbers. We are committed to building inclusive, thriving communities for our customers and employees, and we value people who do the right thing, are enthusiastic, motivated to grow, believe in community spirit, are respectful, and enjoy their work. Our Data and Platform Engineering team forms the foundation of our Data Office function, designing, building, and maintaining our data platform as we continue our transition from on premise to Google Cloud and develop a leading edge Data Mesh platform. This is an exciting time to join a growing business function where you can make your mark on the architecture of our platform and the development of our data engineering capability. We offer a competitive salary with yearly reviews, pension matched up to 7%, 35 days annual leave with buy/sell options, healthcare cashback up to £500 per year, a 2% bonus scheme, training and development, and a range of discounts and perks. We also support flexible working options and a supportive, accessible recruitment process, including reasonable adjustments and guaranteed interviews for eligible candidates. last updated 25 week of 2026

Senior Solution Architect - Professional Services London, UK At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit to see how we empower creators to own their own destiny. Professional Services team members are critical to our customers' success. They combine enterprise-grade project ownership, deep Klaviyo and martech expertise, and consultative engagement skills to deliver high-impact implementations and strategic technical solutions for complex customers. They lead scoped, post-sales engagements, shaping how work is delivered and scaled. In this role, you will: Own strategic customer engagements end-to-end, from shaping delivery in partnership with Sales to driving successful implementation and long-term adoption alongside Customer Success and Partner teams. Operate as a senior individual contributor who is trusted by customers and internal stakeholders to lead through complexity, influence at the executive level, and consistently deliver measurable outcomes for enterprise accounts. Combine strong delivery/project leadership with technical depth and solution design. How You'll Make a Difference Core Responsibilities Shape and scope strategic engagements Assist in defining Statements of Work (SOWs) that clearly articulate scope, deliverables, timelines, dependencies, and success metrics for complex technical engagements, ensuring alignment between customer goals and Klaviyo delivery capabilities. Lead consultative conversations with customers to clarify business objectives, identify risks, and translate desired outcomes into actionable technical implementation plans. Lead strategic technical engagements Serve as the owner for key technical phases of the customer journey, ensuring projects are delivered on time, on budget, and in line with agreed outcomes. Build strong stakeholder relationships and communicate effectively with internal and external stakeholders to maintain visibility, accountability, and momentum toward customer goals. Anticipate risks, build mitigation strategies, and adjust plans to keep enterprise projects on track. Act as a strategic advisor and subject-matter expert Become a deep expert in the Klaviyo platform and surrounding martech ecosystem, from data models and integrations to messaging channels (Email, SMS) and CDP use cases. Translate customer business goals into technical and operational solutions that leverage platform capabilities and best practices. Educate and enable internal teams and customer stakeholders, becoming the go-to resource for complex questions, best practices, and solution tradeoffs. Drive repeatable, scalable solutions and continuous improvement Approach engagements with a highly analytical mindset - solving for the specific customer first, then identifying patterns and codifying repeatable solutions or feeding insights to internal product and engineering teams. Contribute to internal initiatives and process improvements that elevate overall Professional Services delivery quality and consistency. Maintain excellent operational hygiene by regularly updating tools and systems (e.g., project status, risks, timesheets) without management reminders. Lead through influence and mentorship Demonstrate executive presence and the ability to articulate solution tradeoffs, securing buy-in from technical and non-technical stakeholders across all organizational levels. Provide informal coaching and mentorship to peers, sharing best practices and supporting skill development across the team. Technical Solution Leadership Serve as an ongoing technical advisor for enterprise customers, translating business goals into robust technical designs that align with objectives and industry best practices. Take full ownership of technical deliverables and their project milestones, collaborating with customer teams and internal teams to ensure high-quality outcomes. Use your technical expertise to design and prototype tailored and scalable solutions for internal and external projects. Quantify and communicate business cases for product enhancements, using evidence from customer usage to inform roadmap discussions for enterprise needs. Act with urgency and precision to troubleshoot complex technical issues, ensuring customers receive best-in-class support during critical moments. Who You Are Experience 4+ years in SaaS Professional Services, implementation, solution consulting, or similar customer-facing technical roles, with a track record of leading enterprise-level projects or solutioning. Proven success working with multiple stakeholders across diverse teams and departments in complex, often global, environments. Consultative & Commercial Acumen Comfortable articulating how Professional Services accelerate time to value and business impact. Adept at balancing technical depth with commercial clarity, ensuring proposed engagements are both feasible to deliver and impactful for customers. Domain & Technical Skills Strong understanding of the martech landscape and surrounding technologies, including Email, SMS/Mobile, and how to leverage a CDP for advanced use cases. Demonstrated familiarity with APIs, webhooks, and integrating SaaS platforms into complex enterprise tech stacks; able to guide customers toward best-practice architectures. Demonstrated executive presence and ability to engage, influence, and align C-level and senior stakeholders. Excellent communicator across written, verbal, and virtual channels, able to convey and translate technical and marketing concepts to a range of audiences (project managers, marketers, developers, executives). A strong collaborator with a positive attitude, curiosity, and eagerness to learn, who thrives in a rapidly changing environment. Experience acting as a technical advisor or architect for complex implementations, especially in martech, CDP, or B2C CRM contexts. Working Style Proactive, resourceful problem-solver who takes ownership and drives solutions forward autonomously. Consistently maintains operational rigor (status updates, risks, time tracking) without management reminders. Interested in mentoring others and contributing to team-level execution and enablement beyond individual delivery. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Our salary range reflects the cost of labour in the country where the job post is advertised. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range in Local Currency: Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site . click apply for full job details

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Our specialist investment capabilities span multiple strategies across private equity, infrastructure and real assets, and private credit. Through our collaborative and committed culture, we find new ways to solve complex problems together and deliver innovative investment opportunities across private markets. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. Pantheon is in the process of building a cloud native, AI ready Data Platform based on the Databricks Lakehouse architecture, enabling analytics, operational use cases, and advanced ML/AI workloads. We require an experienced and passionate hands on Senior Data Engineer to design and implement new data pipelines for adaptation to business and/or technology changes. This role will be integral to the success of this program and establishing Pantheon as a data centric organisation. You will be working with a modern Azure tech stack and proven experience of ingesting and transforming data from a variety of internal and external systems is core to the role. You will be part of a small and highly skilled team, and you will need to be passionate about providing best in class solutions to our global user base. Key Responsibilities Design, build, and maintain scalable, secure, and high performance data pipelines on Azure, primarily using Azure Databricks, Azure Data Factory, and Azure Functions. Develop and optimise batch and streaming data processing solutions using PySpark and SQL to support analytics, reporting, and downstream data products. Implement robust data transformation layers using dbt, ensuring well structured, tested, and documented analytical models. Collaborate closely with business analysts, QA teams, and business stakeholders to translate data requirements into reliable technical solutions. Ensure data quality, reliability, and observability through automated testing, monitoring, logging, and alerting. Lead on performance tuning, cost optimisation, and capacity planning across Databricks and associated Azure services. Implement and maintain CI/CD pipelines using Azure DevOps, promoting best practices for version control, automated testing, and deployment. Enforce data governance, security, and compliance standards, including access controls, data lineage, and auditability. Contribute to architectural decisions and provide technical leadership, mentoring junior engineers and setting engineering standards. Produce clear technical documentation and contribute to knowledge sharing across the data engineering function. Knowledge & Experience Required Essential Technical Skills Python and PySpark for large-scale data processing. SQL (advanced querying, optimisation, and data modelling). Azure Data Factory (pipeline orchestration and integration). Azure DevOps (Git, CI/CD pipelines, release management). Lakehouse architecture (Databricks Unity Catalog, Delta Lake optimisation techniques such as Z ordering, liquid clustering). Data modelling (star schemas, data vault, or lakehouse aligned approaches). Data quality, testing frameworks, and monitoring/observability. Strong problem solving ability and a pragmatic, engineering led mindset. Experience in Agile SW development environment. Excellent communication skills, with the ability to explain complex technical concepts to both technical and non technical stakeholders. Leadership and mentoring capability, with a focus on raising engineering standards and best practices. Significant commercial experience (typically 5+ years) in data engineering roles, with demonstrable experience designing and operating production grade data platforms. Strong hands on experience with Azure Databricks, including cluster configuration, job orchestration, and performance optimisation. Proven experience building data pipelines with Databricks and Azure Data Factory; integrating with Azure native services (e.g. Data Lake Storage Gen2, Azure Functions). Advanced experience with Python for data engineering, including PySpark for distributed data processing. Strong SQL expertise, with experience designing and optimising complex analytical queries and data models. Practical experience using dbt in a production environment, including model design, testing, documentation, and deployment. Experience implementing CI/CD pipelines using Azure DevOps or equivalent tooling. Data as a Product mindset. AI / ML / GenAI Enablement Enable ML/AI workloads on the Databricks data platform. Collaborate with AI Product Team to deliver use cases. Enable RAG pipelines / vector storage patterns to support AI products. Desired Experience Financial services industry or private market experience. Development with coding agents (e.g., Anthropic Claude Code, OpenAI Codex, etc). This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job-related duties as reasonably requested by your manager. Pantheon is an Equal Opportunities employer. We are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply. We are committed to ensuring that all candidates have an equal opportunity to participate in the recruitment process. If you require any reasonable adjustments to accommodate your needs, please use this space to describe the nature of the adjustments you require.

Job Purpose This role is part of the DPG Platform Engineering Team, responsible for driving the adoption and consumption of cloud infrastructure. The role conducts the architecture, build and migration of new and legacy platforms to a Cloud and DevOps practice and facilitates the consumption of cloud services across the business. Reporting to the Head of Cloud Engineering, the role contributes to the IT and Platform Engineering Road Map and champions the use of cloud services. The role focuses on improving stability, security, and availability of the cloud platform. Key Responsibilities/Job Tasks Clloud Platform Delivery and Enablement Provide line management, coaching, and development for the Platform Services team. Build a high performing, accountable engineering team with clear ownership and standards. Set direction, priorities, and ways of working for the team. Manage workload, capacity, and on call or support responsibilities where required. Infrastructure Delivery Own the design and build of on premise infrastructure across data centres, offices, and supply chain environments. Lead the infrastructure workstream for project implementations, from design through to handover. Ensure solutions are supportable, secure, and aligned to architectural standards. Act as the escalation point for complex technical issues and major incidents. Core Technology Ownership Servers, storage, and virtualisation platforms. Networking, firewalls, and connectivity within the data centre and wider estate. Dedicated hosting environments and associated third party services. Infrastructure monitoring, patching, resilience, and lifecycle management. Project Coordination Plan and coordinate infrastructure delivery across multiple concurrent projects. Work closely with product, application, and business teams to define infrastructure requirements. Manage dependencies, risks, and delivery timelines for the Platform Services team. Ensure clear documentation and operational readiness before go live. Operational Accountability Ensure platform stability, availability, and performance. Drive good incident, problem, and change management practices. Reduce repeat issues through root cause analysis and technical improvement. Maintain security, compliance, and audit requirements within infrastructure environments. Stakeholder and Vendor Management Act as the primary infrastructure point of contact for internal stakeholders. Manage key infrastructure vendors and service providers. Ensure third parties meet contractual, SLA, and security obligations. Skills & Job Requirements Strategic Responsibility The role holds accountability for inputting into functional strategy, ensuring delivery activity is aligned with broader business goals, technology roadmaps, and operational campaigns. It contributes to strategic planning by translating high level objectives into actionable delivery streams, ensuring technology deployments support customer and enterprise outcomes. Problem solving The role requires frequent resolution of complex issues through evaluation of multiple data sources, stakeholder inputs, and delivery constraints. It applies structured analysis, precedent awareness, and situational judgement to develop practical solutions that minimise disruption and maintain continuity, often within dynamic and changing environments. Decision making The role makes decisions within broad operational and business guidelines, frequently in areas where limited precedent or policy exists. It exercises autonomy in determining delivery prioritisation, resource allocation, and risk mitigation, with a direct impact on release integrity, delivery timelines, and stakeholder satisfaction. Communication Exceptional communication skills are required to influence, guide, and align cross functional teams and stakeholders. The role demands clarity in conveying complex information to both technical and non technical audiences, effective negotiation of competing priorities, and proactive engagement across senior and delivery facing groups. Innovation The role actively contributes to change by identifying and implementing enhancements to delivery processes, governance practices, and performance oversight. It champions continuous improvement through structured analysis, routinely introducing optimisations that improve efficiency, reduce delivery risks, and support scalable, repeatable delivery models. Professional Qualifications Industry certifications in core infrastructure technologies such as VMware VCP, Microsoft Azure or Windows Server, Cisco CCNA/CCNP, or equivalent vendor qualifications. ITIL Foundation or Intermediate Certificate covering incident, problem, change, and operational lifecycle management. Relevant certifications in data centre, networking, virtualisation, or security platforms (e.g. Fortinet NSE, Nutanix, Dell/EMC, Cisco Meraki). Degree in Computer Science, Infrastructure Engineering, Information Technology or equivalent professional experience. Desirable: accreditation in automation, scripting, or infrastructure as code tooling (e.g. Terraform, PowerShell). Knowledge Deep understanding of on premise infrastructure including compute, storage, virtualisation, networking, firewalls, and data centre operations. Strong working knowledge of VMware, Windows Server, Active Directory, and core directory, DNS, DHCP and identity services. Familiarity with enterprise networking concepts including routing, switching, secure connectivity, and load balancing. Awareness of infrastructure lifecycle management, patching, resilience patterns, and capacity planning. Understanding of monitoring platforms, operational telemetry, and performance baselining for core infrastructure. Knowledge of incident, problem, change, and operational compliance frameworks (ITIL or equivalent). Familiarity with hardware vendors and platform ecosystems such as Dell/EMC, HPE, Cisco, Fortinet, Nutanix, or similar. Understanding of security principles relevant to infrastructure, including segmentation, privileged access, and hardening standards. Experience working within complex hybrid environments and enterprise estates with multiple dependent systems. Skills/Ability Proven leadership and line management of infrastructure engineers across multiple concurrent workstreams. Ability to design, plan, and deliver infrastructure solutions across data centres, offices, and supply chain environments. Strong capability in diagnosing complex infrastructure faults across servers, networks, storage, and virtualisation stacks. Skilled in coordinating technical changes, major upgrades, and platform transitions with minimal operational impact. Competent in evaluating risks, dependencies, and capacity constraints across critical infrastructure services. Ability to influence technical direction and set engineering standards for build quality, resilience, and operational readiness. Comfortable engaging with senior stakeholders on stability, risk, and major incident matters. Experienced in vendor management, including contract performance, SLAs, and support escalations. Able to operate effectively in fast paced, high availability environments with strict uptime expectations. Strong documentation discipline covering design, platform configuration, operational processes, and handover material.

Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI Role Senior Forward Deployed Engineer (AI Native) - Principal Technology Architect Location: London Compensation: Competitive (including bonus) Responsibilities Serve as principal engineering lead for complex, multi region AI programs; define solution strategy, roadmap, and measurable outcomes. Lead workshops and discoveries focused on AI enabled engineering (LLMs, agents, RAG, prompt ops, model ops). Architect AI integrations across APIs, pipelines, cloud services, and enterprise toolchains; enforce reliability, safety, and cost discipline. Operationalize agentic engineering (task decomposition, tools, memory, planning) for accelerated delivery. Build and mentor high performing teams; cultivate experimentation, reusable assets/accelerators, and continuous learning. Govern delivery (scope, risk, quality), communicate crisply with executives and technical stakeholders, and course correct proactively. Required Technology 15+ years of progressive software engineering; 5+ years leading AI native solutions at enterprise scale. Hands on with LLMs and agentic frameworks; design and deploy AI systems that augment SDLC (requirements coding testing ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function calling. Azure OpenAI / GPT 4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety. Amazon Q for developer and ops assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE native agentic coding; policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion. Architecture & Integration Distributed systems, microservices, cloud native (Azure/AWS/GCP); secure API design (REST/GraphQL). MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety. DevSec & Responsible AI: Privacy by design, PII handling, secrets management, policy enforcement, human in the loop approvals, auditability. Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s). Leadership & Communication Executive presence: influence C suite decisions with crisp, data backed narratives. Lead distributed teams across geographies/time zones; resolve conflicts and drive outcomes. Pre sales/solutioning for AI transformation; quantify value (cycle time, defect rate, throughput, cost to serve). Preferred Delivery leadership for Fortune 500 AI programs; published thought leadership or patents. Proven track in building accelerators (prompt libraries, agent frameworks, governance kits), and running bake offs/benchmarks across LLMs. Experience establishing enterprise AI enablement: policy, templates, blueprints, playbooks, COPs. Personal High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Equal Opportunity Employment All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The SRE Observability Specialist is a hands on expert, delivering the future of Observability across Services Technology. This role is a part of a central SRE enablement team within Services Production, working closely with SREs, developers, and platform teams to embed telemetry, implement SLOs, and build meaningful visualizations for key production flows - particularly in critical Payments Business. The ideal candidate will have deep technical knowledge, a collaborative mindset, and the ability to translate strategy into scalable engineering outcomes. You will also act as a bridge between Services Technology teams and central infrastructure/CTO teams, prioritizing observability needs from line of business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential. This role requires providing technological Support solution for Function called Project Orion which provides End to End payment monitoring like Building an End to End payments Dashboard, Toil Reduction, Transformation of legacy monitoring into observability based monitoring solution, requires good understanding of different Payments Taxonomy (ACH, Wires, Instant Payments, etc.). Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Key Responsibilities Define the roadmap for Engineering enablers for Project Orion team aligned with enterprise reliability and SRE Services organization goals. Translate Organization strategy into an actionable delivery plan in partnership with Services Products, Operations & Engineering function, delivering incremental, high value milestones. Understand Critical Business Services functional scope and translate into End to End monitoring solutions. Deliver against the observability roadmap for Services Technology by building scalable, reusable telemetry solutions. Periodic review and analyze application monitoring TOIL and collaborate with stakeholders and remediate them as per organization goal. Create and maintain dashboards and visualizations for critical client journeys, including real time flows across Payments. Guide line of business teams in implementing SLIs/SLOs, golden signals, and effective alerting to support operational excellence. Support integration and adoption of observability tooling across on prem, public cloud (AWS/GCP), and containerized environments (ECS, Kubernetes). Customize shared dashboards and observability components in partnership with CTI and other central Engineering functions, ensuring usability and flexibility. Provide technical support and implementation guidance to SREs and developers facing integration or tooling challenges. Effectively manage the observability book of work for Services Technology and drive initiatives to reduce MTTD and improve recovery outcomes. Serve as a key connection point between line of business SREs and central infrastructure functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum. Stay current with observability trends, including AI/ML driven insights, anomaly detection, and emerging OSS practices, and assess their applicability. Maintain strong knowledge of observability platform features and vendor offerings to advise teams and maximize the value of tooling investments. Foster AI adoption by building use cases performed by Orion L1 Functions and remediation using Citi AI tech stack. Qualifications Experience in SRE, Observability Engineering, or platform infrastructure roles focused on operational telemetry. Bachelor's degree (computer science or related fields) or equivalent experience in building scalable solutions to improve the service reliability and/or increase productivity and efficiency. Hands on experience in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Deep understanding of SLIs, SLOs, Error Budgets, and telemetry best practices in high availability environments. Proven ability to troubleshoot integration issues and support observability across hybrid platforms (on prem, cloud, containers). Experience building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Experience with agile systems development methodologies, building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Familiarity with modern observability tooling ecosystems, including AI/ML capabilities, trace correlation, baselining, and alert tuning. Strong interpersonal and collaboration skills - able to operate across federated engineering teams and central infrastructure groups. Experience in enablement or platform teams with a track record of scaling best practices across diverse business units. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group Technology Job Family Applications Support Time Type Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

SRE Observability Technical Lead - Vice PresidentApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech . The SRE Observability Specialist is a hands-on expert, delivering the future of Observability across Services Technology. This role is a part of a central SRE enablement team within Services Production, working closely with SREs, developers, and platform teams to embed telemetry, implement SLOs, and build meaningful visualizations for key production flows - particularly in critical Payments Business.The ideal candidate will have deep technical knowledge, a collaborative mindset, and the ability to translate strategy into scalable engineering outcomes. You will also act as a bridge between Services Technology teams and central infrastructure/CTO teams, prioritizing observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment monitoring like Building an End-to-End payments Dashboard, Toil Reduction, Transformation of legacy monitoring into observability based monitoring solution, requires good understanding of different Payments Taxonomy (ACH, Wires, Instant Payments, etc.). Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Key Responsibilities: Define the roadmap for Engineering enablers for Project Orion team aligned with enterprise reliability and SRE Services organization goals. Translate Organization strategy into an actionable delivery plan in partnership with Services Products, Operations & Engineering function, delivering incremental, high-value milestones. Understand Critical Business Services functional scope and translate into End-to-End monitoring solutions. Deliver against the observability roadmap for Services Technology by building scalable, reusable telemetry solutions. Periodic review and analyze application monitoring TOIL and collaborate with stakeholders and remediate them as per organization goal. Create and maintain dashboards and visualizations for critical client journeys, including real-time flows across Payments. Guide line-of-business teams in implementing SLIs/SLOs, golden signals, and effective alerting to support operational excellence. Support integration and adoption of observability tooling across on-prem, public cloud (AWS/GCP), and containerized environments (ECS, Kubernetes). Customize shared dashboards and observability components in partnership with CTI and other central Engineering functions, ensuring usability and flexibility. Provide technical support and implementation guidance to SREs and developers facing integration or tooling challenges. Effectively manage the observability book of work for Services Technology and drive initiatives to reduce MTTD and improve recovery outcomes. Serve as a key connection point between line-of-business SREs and central infrastructure functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum. Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability. Maintain strong knowledge of observability platform features and vendor offerings to advise teams and maximize the value of tooling investments. Foster AI adoption by building use cases performed by Orion L1 Functions and remediation using Citi AI tech stack. Qualifications: Experience in SRE, Observability Engineering, or platform infrastructure roles focused on operational telemetry. Bachelor's degree (computer science or related fields) or equivalent experience in building scalable solutions to improve the service reliability and/or increase productivity and efficiency Hands-on experience in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Deep understanding of SLIs, SLOs, Error Budgets, and telemetry best practices in high-availability environments. Proven ability to troubleshoot integration issues and support observability across hybrid platforms (on-prem, cloud, containers). Experience building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Experience with agile systems development methodologies, building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Familiarity with modern observability tooling ecosystems, including AI/ML capabilities, trace correlation, baselining, and alert tuning. Strong interpersonal and collaboration skills - able to operate across federated engineering teams and central infrastructure groups. Experience in enablement or platform teams with a track record of scaling best practices across diverse business units. What we'll provide you: By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands. About the Role The Senior Manager, Center of Expertise will lead a team of elite product and domain experts who drive measurable outcomes on strategic customer engagements. This role is built for a technically fluent, decisive leader who thrives at the intersection of modern data protection, cloud infrastructure, and AI driven operations-someone who can translate complex architectures into executive level narratives and who genuinely cares about the people they lead and the customers they serve. You will lead a team of Domain Engineering Specialists (DES) who serve as subject matter experts across Veeam Data Platform (VDP), Veeam Data Cloud (VDC), Vault, and Kasten, as well as the broader cloud native and AI/ML ecosystem surrounding them. This is a team that sets the standard-not just within Veeam, but across the industry-and the right leader will take pride in keeping it that way. Your team partners with customer facing teams to lead complex, large scale technical onboardings involving intricate multi environment architectures, data modeling, telemetry analysis, and risk discussions with C suite stakeholders (CISO/CIO/CTO). You will align customer posture against the Veeam Data Resilience Maturity Model (DRMM) and industry frameworks (NIST CSF, CIS Controls, Zero Trust Architecture) to surface optimization opportunities and drive expansion. Success requires deep cross functional alignment, the ability to manage competing priorities at scale, and a bias toward outcomes over activity. What You'll Do Lead and develop a team of 6-10 Domain Engineering Specialists, investing genuinely in their growth through technical coaching, structured career development, and a culture where people feel challenged, valued, and proud of the work they do. Define and execute the team's technical enablement roadmap, with a strong focus on emerging capabilities in AI/ML, cloud native architectures, and cyber resilience. Own the team's involvement in complex, large scale customer onboardings-multi environment migrations, hybrid and multi cloud transformations, and enterprise wide resilience deployments that require deep architectural engagement and precise coordination. Coach specialists to deepen expertise in ransomware recovery, immutable storage, multi cloud data protection, and Kubernetes native backup-and create clear paths for them to grow into recognized experts inside and outside of Veeam. Build and scale a content and resource hub that extends the team's reach beyond 1:1 customer engagements-including technical playbooks, reference architectures, self service assessment tools, and evergreen enablement content. Develop and run high impact customer engagement programs-webinars, roundtables, virtual workshops, executive briefings, and community forums-that position Veeam's expertise in front of broader audiences and create scalable touchpoints across the customer lifecycle. Establish and maintain the team's position as a credible technical authority in conversations with customer engineering, architecture, and executive stakeholders. Drive process improvements and playbooks that scale impact without scaling headcount linearly. Monitor operational KPIs and use data to identify coaching opportunities, capacity gaps, and emerging risk patterns across the customer portfolio. Influence product and engineering roadmaps by synthesizing field level insights into structured feedback loops. Build and maintain cross functional relationships with Sales, Product, Engineering, and Customer Success to ensure coordinated customer outcomes. Serve as an executive level escalation point for complex technical and strategic customer situations. Model and reinforce a high performance culture anchored in intellectual curiosity, ownership, and genuine care for customers and teammates alike. And other responsibilities as needed as the business evolves and grows. What You'll Bring 8+ years of experience in technical customer success, solutions engineering, or related customer facing technical roles-ideally within enterprise SaaS, cloud infrastructure, or data management. 4+ years of people management experience, with a track record of building and scaling high performing technical teams where culture is a competitive advantage, not an afterthought. Deep expertise in data protection and cyber resilience-including ransomware recovery architectures, immutability strategies, air gapped backup, and recovery time/point objectives at enterprise scale. Hands on familiarity with AI and machine learning concepts, including how organizations are operationalizing AI workloads and the data infrastructure that supports them (data pipelines, model training environments, vector databases, LLMOps). Strong working knowledge of major cloud platforms (AWS, Azure, GCP) and cloud native patterns-Kubernetes, containers, serverless, IaC (Terraform/Pulumi), and multi cloud data governance. Fluency in modern infrastructure concepts: hybrid cloud architectures, software defined storage, disaster recovery as code, and observability stacks. Ability to engage credibly in security framework discussions-Zero Trust, NIST CSF, CIS Controls, SOC 2, and regulatory environments (GDPR, HIPAA, FedRAMP). Experience leading or owning large scale, complex customer onboardings with multiple stakeholders, integrated environments, and significant technical and organizational complexity. Proven ability to build scalable content programs-technical resource hubs, reference architectures, webinars, workshops-that extend expert knowledge to audiences well beyond direct engagement. Demonstrated ability to lead teams through ambiguity in fast moving, high growth environments. Strong executive communication skills-able to distill complex technical risk into business impact narratives for CISO, CIO, and board level audiences. Experience using data and telemetry to drive coaching decisions and team performance improvements. Adaptable, high agency operator who sets direction without waiting for perfect information-and brings others along with them. What you'll get 25 paid vacation days, plus 4 extra global VeeaMe Days for self care and 24 paid volunteer hours annually through Veeam Cares. Private medical, dental, and vision insurance with dependent enrolment. Life insurance with enhanced coverage and global 24/7 protection. Income protection after 26 weeks, covering a portion of salary. Defined contribution pension plan with employer match. Worldwide travel insurance for business and leisure, with option to enroll dependents. Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs. Opportunities to learn and grow through on demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops and learning events like our annual Global Day of Learning. Veeam Software is an equal opportunity employer Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

We're the team behind the AI-powered customer engagement platform that's transforming how businesses connect with their customers - turning every conversation into a revenue-driving moment. Our platform helps contact centre teams achieve their goals through intelligent automation, predictive insights, and seamless customer experiences. We build technology that empowers people, not replaces them. We are proud of our reputation for combining cutting edge tech with down to earth people, we have big ambitions and a clear sense of who we are. Our culture is driven by our values: we take ownership, move fast, challenge the status quo, and learn constantly. Working at MaxContact means being stretched, you'll be trusted with responsibility early, expected to think commercially, and encouraged to act decisively. We don't stand still, and neither will you. At the same time, we believe high performance only works in a safe, supportive environment. You'll be surrounded by smart, driven people who want to see you succeed, who value openness and honesty, and who see mistakes as part of learning quickly and getting better. We're builders, problem-solvers, and customer champions who believe in innovation with purpose, human first technology, and delivering results that matter. You'll work alongside passionate colleagues building technology that directly impacts how thousands of businesses connect with millions of customers every day.If you're ambitious, curious, and excited by the idea of building something meaningful in a fast-moving tech business. We are looking for an ambitious and curious Software Engineer to join our Technology department at a really exciting time. Role Purpose As a Mid Level Software Engineer at MaxContact, you will be a core contributor to our mission critical CCaaS platform, delivering reliable, secure, and scalable software used by customers in live contact centre environments. You will work across multiple workstreams including Feature Enhancements, Sales Enablement, Tech Modernisation, and Customer Defects owning work end to end from design through to production. This role suits engineers who take pride in producing high quality, well tested code and who are comfortable balancing planned delivery with reactive, customer driven work in an Agile Scrum environment. Beyond traditional full stack development, this role places a strong emphasis on AI driven engineering practices. You will collaborate closely with other engineers to use AI developer tools responsibly, continuously refining how they are applied to improve delivery speed, test coverage, and overall engineering effectiveness while maintaining a high bar for code quality, security, and correctness. You will also contribute to the development of AI enabled product capabilities, working with the team to design and implement safe, testable functionality suitable for a mission critical platform. Alongside this, you will support the migration of legacy technology to modern .NET and Vue.js frameworks, contribute to customer onboarding through targeted feature development and integrations, and help resolve real, customer impacting defects. Key Responsibilities Engineering & Reliability Design, build, and maintain backend services and APIs using C# / .NET, delivering changes that are safe, observable, and production ready. Develop and modernise frontend components using Vue.js, contributing to the ongoing migration from legacy technologies. Treat reliability as a first class concern by implementing appropriate logging, metrics, and error handling for all production changes. Support containerisation and CI/CD improvements to enable consistent, repeatable deployments. Collaborate closely with other engineers to use AI developer tools responsibly, accelerating development, testing, and documentation while validating outputs. Continuously refine how AI tools are applied within the team, sharing learnings and improving engineering effectiveness over time. Use AI assisted approaches to improve test coverage, explore edge cases, and reduce rework without compromising quality, security, or correctness. Contribute to the design and implementation of AI enabled product capabilities, working with the team to deliver safe, testable functionality. Help establish robust patterns for emerging features and early agentic workflows, ensuring they are suitable for a mission critical CCaaS platform. Support experimentation and pilot features while maintaining clear boundaries between prototype and production ready code. Workstream Delivery Deliver work across Feature Enhancements, Sales Enablement, Tech Modernisation, and Customer Defects, typically spanning more than one workstream at a time. Build customer facing features and integrations that support onboarding, pilots, and sales demonstrations. Triage and resolve customer impacting defects, producing hotfixes where required and adding regression tests to prevent recurrence. Collaboration, Quality & Process Actively participate in Agile Scrum ceremonies, including refinement, planning, reviews, and retrospectives. Contribute to code reviews and pair programming, helping maintain shared standards and a strong engineering culture. Take ownership of unit, integration, and end to end testing for your work, ensuring changes are safe to deploy in live environments. Document technical decisions, edge cases, and lessons learned from incidents to improve team knowledge and resilience. Values and Behaviours Customer Centric Design and deliver features, integrations and reliability improvements that directly improve customer success. Own It Take end to end responsibility for delivery, quality and technical debt, be accountable for successful outcomes. One Team Collaborate tightly with Product and Platform to build trust, share goals, remove blockers and coach the team to succeed together. Make It Count Prioritise solutions that improve reliability, scalability, model quality and long term velocity with measurable results. Challenge The Status Quo Continuously question assumptions and improve systems, tooling and processes. Success Measures Reliable delivery across workstreams, with changes shipped safely to production and minimal rework. High quality, well tested code, demonstrated through strong unit, integration, and end to end test coverage. Delivers measurably faster cycle times through effective use of AI assisted engineering workflows, including code generation, test creation, refactoring, and documentation. Contributes to team level improvements in throughput and quality by sharing effective AI usage patterns. Timely and high quality response to customer impacting defects, including clear root cause analysis and regression prevention. Positive collaboration within the Scrum team, contributing to shared standards, code reviews, and continuous improvement. Clear contribution to modernisation and AI enabled initiatives, including legacy migration and early AI feature development. Training and Enablement As part of the role you will be required to constantly develop your skill set and take your personal growth seriously. Structured onboarding plan with defined milestones Dedicated time for learning and personal development Budget for relevant certifications and conference attendance Pairing and mentorship opportunities Regular 1:1s and coaching from leadership Opportunities to lead discovery and POCs Training on security and compliance Skills and Experience 3+ years of professional experience building and supporting production software. Strong experience with C# / .NET (6-8), including modern patterns for APIs and backend services. Practical experience building frontend applications using Vue.js (or similar modern frameworks). Experience working in Agile Scrum teams, contributing to refinement, estimation and shared delivery commitments. A strong focus on code quality and testing, including unit, integration and end to end tests. Experience working on production systems where reliability, security and correctness matter. Comfortable using AI developer tools (e.g. Copilot or similar) responsibly as part of day to day development. Ability to collaborate effectively with other engineers, participate in code reviews, and continuously refine ways of working. Experience with containerisation (Docker) and familiarity with CI/CD pipelines. Exposure to AI enabled systems, such as vector search, Azure OpenAI, or RAG based approaches. Experience with agentic development workflows (e.g. Claude Code, Cursor Agent, or similar tools), including AI driven task completion, multi file refactoring, and test generation beyond inline code suggestions. Experience modernising legacy codebases or contributing to platform migration efforts. Exposure to contact centre, telephony, or SaaS platforms operating in live customer environments. Benefits and Perks 25 days annual leave plus your birthday off - So you can genuinely switch off, recharge, and bring your best self to work. Increased holiday entitlement with length of service - We recognise commitment and loyalty. As you grow with MaxContact, we give more back because owning it over time should be rewarded. Enhanced maternity and paternity packages - We support our people at every stage of life . click apply for full job details

The IT Product Manager serves as the strategic owner and visionary for critical IT product domains-with a primary focus on Accounting & Financial Systems (e.g., ERP, AR/AP automation) and a secondary focus on Supply Chain & Logistics ecosystems. Operating in a "Two-in-a-Box" co-leadership model, this role acts as a vital bridge between executive stakeholders, business super users, and technical delivery teams. This hybrid position combines deep Senior Business Analysis and Process Engineering with a product-centric mindset to own the long-term roadmap, ROI, and business value of Jazwares' core application ecosystems. By translating complex business objectives into prioritized technical backlogs and scalable solution designs, this role ensures technology investments-from core ERP financial enhancements and automated revenue cycles to global supply chain workflows-are strategically aligned and built to scale with Jazwares' growth. Beyond strategy and analysis, this role serves as the Agile Lead and Scrum Master for dedicated Product-Oriented Delivery organizations, known as "PODs". Heavily leveraging Jira, the IT Product Manager manages the full product lifecycle: refining backlogs, facilitating ceremonies, and driving sprint execution to ensure continuous, reliable delivery. The ideal candidate empowers cross-functional SMEs to navigate technical ambiguity, eliminates "Shadow IT" silos, and delivers high-impact solutions with a relentless focus on user adoption and operational excellence. Duties and Responsibilities As an IT Product Manager, you will own the end-to-end lifecycle and strategic value of critical IT product domains. By blending senior analytical rigor with high-level Agile POD leadership, you will be responsible for defining product visions, prioritizing complex backlogs in Jira, and orchestrating cross-functional teams to deliver high-impact technical solutions. Strategic Vision: Own the yearly Product Roadmap for your domain, ensuring alignment with corporate goals and IT strategic pillars. Backlog Authority: Act as the final decision-maker for backlog prioritization, weighing business urgency against technical feasibility. Agile Orchestration: Drive POD execution excellence by heavily leveraging Jira to manage continuous delivery and eliminate "Shadow IT" silos. Strategic Co-Leadership: Partner in a "Two-in-a-Box" model with Business Product Owners to align technical roadmaps with functional business processes, ensuring that product evolution directly drives measurable outcomes and ROI. POD Leadership & Scrum Mastery: Lead all Agile ceremonies (stand-ups, sprint planning, grooming, retrospectives) for dedicated product PODs to ensure team alignment and unblock technical impediments. Product Roadmap & Backlog Management: Serve as the primary architect of the product backlog in Jira, ensuring epics and user stories are strategically structured to deliver continuous business value. Executive Stakeholder Prioritization: Partner with Business Sponsors and business leaders to define and prioritize product features based on ROI and revenue impact. Value-Based Metrics & Reporting: Beyond team velocity, track and communicate Business Value Metrics (e.g., user adoption, process efficiency gains) to provide visibility to the PMO Steering Committee. Agile Transformation & Mentorship: Lead the IT department's shift from project-based work to a product-centric model, coaching teams on advanced Jira workflows and "spikes" for innovation. Product Analysis & Requirements Management Product Discovery & Lifecycle Management: Lead the discovery phase for new product features, identifying capability gaps and translating high-level business desires into detailed technical specs. Advanced User Stories & Acceptance Criteria: Define the "Definition of Done" for complex integrations, ensuring the development team has absolute clarity on functional requirements. Quality Assurance & Product Integrity: Partner with QA and developers to ensure the final product aligns with the original vision, managing the transition from project "Go-Live" to Business as Usual (BAU) operations. Continuous Enablement: Coordinate User Acceptance Testing (UAT) and "Train-the-Trainer" sessions to ensure global adoption of product updates. Product Engineering & Solution Architecture Workflow Optimization & Scaling: Engineer optimized workflows for your product domain (e.g., Accounting & Finance and/or Supply Chain) to drive organizational efficiency as Jazwares scales beyond $1B. Automation-First Strategy: Identify opportunities to automate manual tasks within your application suite to reduce technical debt. Compliance & Security Architecture: Ensure all product enhancements comply with Jazwares security protocols and overall technology roadmaps. Cross-Product Interdependency Management: Manage API and data-mapping architectures across the IT portfolio to ensure a single source of truth. Change Management Leadership: Own the organizational change management plan for your product, ensuring new features are adopted seamlessly and training "champions" to lead their teams. Functional Domain Mastery & Team Ownership As an IT Product Manager, you will serve as the Agile Lead and strategic visionary for one or more continuous, cross-functional Product Teams (PODs). The ideal candidate must possess deep operational knowledge of end-to-end Accounting & Financial Systems (Primary Focus), Product Information Management, and the Supply Chain Management (SCM) lifecycle (Secondary Focus). You will demonstrate a refined ability to orchestrate the flow of data between core ERPs, planning modules, and logistics platforms. 1. Accounting and Finance Systems The Mission: Identify, prioritize, and plan the continuous product roadmap for core ERP and financial automation systems, ensuring seamless Order-to-Cash (O2C) and Procure-to-Pay (P2P) cycles. Core Tech Stack: Sage X3 (Financial Modules) and HighRadius (AR/AP Automation). Domain Expertise Required: Lead ERP Transformations: Direct the full lifecycle of large-scale financial applications, managing complex migrations, upgrades, and global rollouts without disrupting critical accounting month-end close cycles. Strategic Stakeholder Partnership: Partner in a "Two-in-a-Box" model with Finance executives (e.g., Corporate Controller) to translate strategic financial goals into actionable, prioritized Jira backlogs. Solution Design & Integration: Map current and future state data flows to identify gaps, proposing automation options that minimize technical debt across the enterprise architecture. Vendor & Release Management: Orchestrate high-level vendor relationships (e.g., NexTec, HighRadius) and manage rigorous release schedules to ensure system stability and compliance. Lead ERP & Core System Transformations: Direct the full lifecycle of large-scale ERP and Corporate Application implementations and support (e.g., P2P, Finance), managing complex migrations, upgrades, and global rollouts. Knowledge of High Radius and Sage X3 a plus. Architectural Strategy & Governance: Partner with Enterprise Architects to define and enforce solution standards, ensuring all application projects align with the broader IT roadmap, security protocols, and integration strategies. 2. Product Information Management (PIM) The Mission: Identify, prioritize, and plan all product information and digital asset management efforts across global retailers and D2C channels. Core Tech Stack: Salsify (PIM) and Bynder (DAM). Domain Expertise Required: Proven experience working with Creative Services and Sales Ops Product Owners to identify data gaps, map API integrations, and drive user adoption to ensure a "Single Source of Truth" for global product content. 3. Source-to-Pay The Mission: Partner directly with Procurement, Finance, and Licensing to manage the frictionless flow of purchasing, vendor data, and payables. Core Tech Stack: Sage X3 (PO Module), DocLink, and HighRadius. Domain Expertise Required: Ability to manage high-level integrations within the ERP ecosystem, specifically ensuring seamless procurement workflows and automated invoicing. 4. Warehouse Management The Mission: Partner with Logistics, Warehousing, and Accounting to orchestrate the physical fulfillment of goods across Jazwares' global footprint and five separate 3PLs. Core Tech Stack: TrueCommerce EDI, Sage X3 (Inventory & Logistics modules), and HighJump WMS. Domain Expertise Required: Deep operational knowledge of global distribution, EDI order processing, and warehouse management systems. 5. Planning & Forecasting The Mission: Partner with Sales Planning Ops and Corporate Strategy to leverage data for market anticipation and supply alignment. Core Tech Stack: Arkieva, Sage X3 (Product & Customer modules), Databricks, and Sigma BI. Domain Expertise Required: Proven experience leveraging demand planning tools (like Arkieva) and hyperscale BI to translate complex business forecasts into actionable production schedules and supply chain triggers. Manages People: No Qualifications Education & Years of Related Experience Education: Bachelor's degree in Information Technology, Business Administration, Computer Science, System Engineering, or a closely related field. Overall Experience: 5-7+ years of progressive experience in IT Product Management, Business Analysis, Business Process Architecture, or IT Project delivery. Proven experience managing the full product lifecycle for enterprise applications is highly preferred. . click apply for full job details

Software Developer (Artificial Intelligence) Department: IT Employment Type: Full Time Location: Remote, UK Description Oxford Economics, a leading economic forecasting and consulting firm, is looking for an ambitious, passionate Software Engineer with a strong interest in AI to join our Technology team and help us build, ship and scale the next generation of AI-enabled capabilities at Oxford Economics. This is a hands-on engineering role for someone who writes great software, is genuinely excited by emerging technology, and wants to build tools people actively use. You will work across our Content, Data and Models teams, embedding alongside them to understand their workflows, identify where AI can make a meaningful difference, and develop practical solutions around real business challenges. The role will involve a mix of prototyping, software engineering, integrations, workflow automation, and productionising AI-enabled features across internal and client-facing platforms. This role suits someone who learns fast, enjoys solving problems across different domains, and likes building things that move from idea to production. You will work closely with engineers, economists, product owners, and business stakeholders across the organisation, helping shape how AI is applied across research, consulting, sales, and operational workflows. Key Responsibilities Design, build and ship production software that brings AI capabilities to OE's production teams including agents, retrieval augmented generation (RAG) pipelines, conversational interfaces, internal tools and client facing features. Embed with delivery teams to understand their domain, identify high leverage opportunities for AI, and translate them into working software that genuinely improves how they work. Collaborate with Product Owners to establish business requirements and develop them into tangible deliverables, adapting based on the business needs. Build and operate Model Context Protocol (MCP) servers and other integrations that connect frontier models to OE's data, systems and workflows, including Salesforce, Microsoft 365, Azure and our proprietary economic forecasts and datasets. Take ideas from prototype to production end to end, owning the full software lifecycle: design, code, testing, CI/CD, observability, cost monitoring, evaluation and safe rollout. Apply solid software engineering fundamentals, clean code, testing, modularity, performance, security, to AI enabled systems, where quality and reliability matter just as much as anywhere else. Experiment with new models, frameworks and techniques as they emerge, and form a strong, well evidenced point of view on what is hype and what is worth betting on. Design evaluation harnesses and feedback loops so we can measure whether our features are actually working, and keep improving them as models and data evolve. Help shape OE's internal AI tooling, including Claude skills, internal MCP servers, shared libraries and the wider AI application framework. Embed AI safety, security and responsible use practices into everything you build, including data handling, prompt injection defences, and alignment with ISO 27001 controls and OE's AI Acceptable Use Policy. Contribute to internal AI enablement, share what you learn, run brown bag sessions, write up patterns and help colleagues across OE raise their own AI fluency. Stay close to the frontier: track research, model releases and ecosystem developments, and bring back what matters for OE. Internal Software Engineering / Product Owners IT Operations Business Development / Marketing External Frontier model providers (e.g. Anthropic) Cloud providers AI tooling and SaaS vendors Skills, Knowledge & Expertise Required 2+ years of professional software engineering experience, shipping production code in modern cloud environments. Software engineering fundamentals, clean code, testing, version control, code review, modular design and a feel for when to be pragmatic versus principled. Strong proficiency in C#/TypeScript, with comfort working across the stack from APIs through to lightweight user interfaces. Experience designing, deploying and operating cloud native services on Azure and/or AWS, including CI/CD and infrastructure as code. Demonstrable hands on experience building with large language models, including prompting, function and tool calling, retrieval augmented generation, and agent design. Practical experience integrating with model APIs (e.g. Anthropic, OpenAI, Azure OpenAI), with a clear understanding of cost, latency, context windows and rate limits. Familiarity with vector databases, embeddings and modern retrieval techniques, including semantic search, hybrid search and reranking. Knowledge of LLM evaluation: Understand the differences between LLM testing vs traditional software. Comfort working across multiple teams and domains, quickly building enough understanding of someone else's problem to develop something useful. A strong bias for shipping prototypes, you would rather get something working in front of users than polish it indefinitely. Excellent communication skills, with the ability to explain trade offs clearly to engineers, domain experts and senior stakeholders alike. Genuine intellectual curiosity, a tinkerer's instinct, and authentic excitement about where AI is going. Desired Experience using agentic coding tools such as Codex, GitHub Copilot and/or Claude code to ship production software. Hands on experience with the Model Context Protocol (MCP), tool and function calling, or agent frameworks (e.g. Microsoft Agent Framework, LangChain or custom orchestration). Experience building software that works with content, publishing or knowledge management workflows (e.g. CMS integrations, editorial tooling, document processing). Experience working with data engineering teams or building on top of modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery). Experience deploying AI features into Salesforce, Microsoft 365 or other enterprise SaaS contexts. Exposure to fine tuning, distillation, embeddings training or other model customisation techniques. Background in machine learning, NLP, data science or applied research. Experience with prompt engineering at scale, including prompt versioning and structured prompt management. Familiarity with AI safety and responsible AI frameworks. Domain interest in economics, forecasting, financial services or research led businesses. Open source contributions, side projects, blog posts or other evidence that you build for enjoyment. Degree in Computer Science, Mathematics, Statistics or equivalent practical experience. What Success Looks Like You ship. Working AI enabled software is landing in production regularly and being used by real people across OE's platforms and by our clients. Teams across the business see measurable productivity gains from the tools you build, research drafted faster, data more discoverable, model outputs more accessible, repetitive work automated. You are trusted by developers alike, people across those teams come to you for advice. OE's AI platform, including its MCP servers, skills, shared libraries and evaluation harnesses, is well engineered, observable and easy to extend. You become the go to person across the business for "can we do this with AI?", trusted to give an honest, well informed answer. New ideas reach a usable prototype in days, not months, and the path from prototype to production is short and safe. Colleagues across OE are more confident, capable and ambitious with AI because of how you work alongside them. Oxford Economics' AI capability is visibly ahead of the curve for a firm of our size and sector. Job Benefits Here are some of the benefits we offer in the UK to ensure you feel valued, supported, and thrive at work: Private Healthcare Employee Assistance Program Enhanced Maternity and Paternity Leave Workplace Nursery Scheme Cycle to Work Scheme Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by the law.

Description Overview of the Role As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. Responsibilities Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g., Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Required Qualifications Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field. Preferred Qualifications Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field.

Senior Solution Architect - Professional Services Customer Success London, UK About the Role Professional Services team members are critical to our customers' success. They combine enterprise-grade project ownership, deep Klaviyo and martech expertise, and consultative engagement skills to deliver high-impact implementations and strategic technical solutions for complex customers. They lead scoped, post-sales engagements, shaping how work is delivered and scaled. Responsibilities In this role, you will: Own strategic customer engagements end-to-end, from shaping delivery in partnership with Sales to driving successful implementation and long-term adoption alongside Customer Success and Partner teams. Operate as a senior individual contributor who is trusted by customers and internal stakeholders to lead through complexity, influence at the executive level, and consistently deliver measurable outcomes for enterprise accounts. Combine strong delivery/project leadership with technical depth and solution design. Shape and scope strategic engagements Assist in defining Statements of Work that clearly articulate scope, deliverables, timelines, dependencies, and success metrics for complex technical engagements, ensuring alignment between customer goals and Klaviyo delivery capabilities. Lead consultative conversations with customers to clarify business objectives, identify risks, and translate desired outcomes into actionable technical implementation plans. Lead strategic technical engagements Serve as the owner for key technical phases of the customer journey, ensuring projects are delivered on time, on budget, and in line with agreed outcomes. Build strong stakeholder relationships and communicate effectively with internal and external stakeholders to maintain visibility, accountability, and momentum toward customer goals. Anticipate risks, build mitigation strategies, and adjust plans to keep enterprise projects on track. Act as a strategic advisor and subject matter expert Become a deep expert in the Klaviyo platform and surrounding martech ecosystem, from data models and integrations to messaging channels (Email, SMS) and CDP use cases. Translate customer business goals into technical and operational solutions that leverage platform capabilities and best practices. Educate and enable internal teams and customer stakeholders, becoming the go to resource for complex questions, best practices, and solution tradeoffs. Drive repeatable, scalable solutions and continuous improvement Approach engagements with a highly analytical mindset - solving for the specific customer first, then identifying patterns and codifying repeatable solutions or feeding insights to internal product and engineering teams. Contribute to internal initiatives and process improvements that elevate overall Professional Services delivery quality and consistency. Maintain excellent operational hygiene by regularly updating tools and systems (e.g., project status, risks, timesheets) without management reminders. Lead through influence and mentorship Demonstrate executive presence and the ability to articulate solution tradeoffs, securing buy in from technical and non technical stakeholders across all organizational levels. Provide informal coaching and mentorship to peers, sharing best practices and supporting skill development across the team. Technical Solution Leadership Serve as an ongoing technical advisor for enterprise customers, translating business goals into robust technical designs that align with objectives and industry best practices. Take full ownership of technical deliverables and their project milestones, collaborating with customer teams and internal teams to ensure high quality outcomes. Use your technical expertise to design and prototype tailored and scalable solutions for internal and external projects. Quantify and communicate business cases for product enhancements, using evidence from customer usage to inform roadmap discussions for enterprise needs. Act with urgency and precision to troubleshoot complex technical issues, ensuring customers receive best in class support during critical moments. Qualifications Experience 4+ years in SaaS Professional Services, implementation, solution consulting, or similar customer facing technical roles, with a track record of leading enterprise level projects or solutioning. Proven success working with multiple stakeholders across diverse teams and departments in complex, often global, environments. Consultative & Commercial Acumen Comfortable articulating how Professional Services accelerate time to value and business impact. Adept at balancing technical depth with commercial clarity, ensuring proposed engagements are both feasible to deliver and impactful for customers. Domain & Technical Skills Hands on experience with modern web development languages/frameworks (eg. HTML, CSS, JavaScript) and general purpose programming languages (eg. Node, Python), and a proven ability to learn new languages and technical concepts with minimal guidance. Strong understanding of the martech landscape and surrounding technologies, including Email, SMS/Mobile, and how to leverage a CDP for advanced use cases. Demonstrated familiarity with APIs, webhooks, and integrating SaaS platforms into complex enterprise tech stacks; able to guide customers toward best practice architectures. Leadership & Collaboration Demonstrated executive presence and ability to engage, influence, and align C level and senior stakeholders. Excellent communicator across written, verbal, and virtual channels, able to convey and translate technical and marketing concepts to a range of audiences (project managers, marketers, developers, executives). A strong collaborator with a positive attitude, curiosity, and eagerness to learn, who thrives in a rapidly changing environment. Experience acting as a technical advisor or architect for complex implementations, especially in martech, CDP, or B2C CRM contexts. Working Style Proactive, resourceful problem solver who takes ownership and drives solutions forward autonomously. Consistently maintains operational rigor (status updates, risks, time tracking) without management reminders. Interested in mentoring others and contributing to team level execution and enablement beyond individual delivery. Benefits & Compensation Base Pay Range in Local Currency: £73,600 - £110,400 GBP In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation for sales and customer success roles, equity, sign on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. EEO Statement Klaviyo is committed to a policy of equal opportunity and non discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

Description Principal AI + Data Architect, Agentforce and AI Ecosystem We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. Agentforce is Salesforce's newest innovation-a next-generation platform that combines Data + AI + CRM + Trust to transform customer experiences. Our AI and Data Architect team is a startup within a global organization, dedicated to helping Salesforce customers and prospects design and implement cutting edge solutions that deliver real business value. Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers, CxOs and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will: Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data 360, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content-demo templates, whitepapers, enablement sessions-focused on agent lifecycle, integration strategy, technical effectiveness and latest innovation trends. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co-create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field.