Reward Gateway

Senior Agile Delivery Manager Department: Engineering Employment Type: Full Time Location: London Reporting To: VP of Delivery Compensation: £85,000 - £110,000 / year Description Reward Gateway Edenred is a global market leader in benefits and employee engagement. We help our clients and their leaders transform employee experience that will attract, engage and retain top talent through employee benefits, strategic rewards and recognition, well being, and much more. As Reward Gateway Edenred continues to scale globally, we are expanding our Delivery function to support a growing portfolio of cloud based, high availability SaaS products. With a significant number of engineering squads operating across regions, we are looking for a high impact Senior Agile Delivery Manager who thrives in complex engineering environments and can bring clarity, structure, and predictability to multi team delivery. This is a high ownership, hands on individual contributor role. You will directly own delivery for 3-4 engineering squads, working closely with Product, Engineering, Architecture, and fellow Agile Delivery Managers to ensure seamless delivery across features, platform initiatives, technical debt, and incidents. If you excel at system level thinking, cross team alignment, and delivery orchestration in cloud environments, this role is for you. Key Responsibilities Own end to end delivery for 3-4 engineering squads, ensuring clear priorities, strong execution discipline, and predictable delivery outcomes. Maintain a deep understanding of each squad's roadmap, capacity, constraints, and performance. Lead delivery across product features, technical debt, platform improvements, and operational work (incidents, resilience, support). Ensure readiness for delivery through well structured backlogs, aligned objectives, and clear acceptance criteria. Work closely with other Agile Delivery Managers to manage dependencies across 30+ global engineering squads. Coordinate sequencing, risk management, and alignment for transversal initiatives spanning multiple teams. Facilitate cross squad forums (Scrum of Scrums, dependency reviews, release readiness syncs). Maintain clear documentation of dependencies, risks, and mitigation plans (RAID logs, delivery boards). Facilitate agile ceremonies for assigned squads (stand ups, sprint planning, refinements, reviews, retros). Champion lean, scalable delivery practices that work across multiple teams and regions. Promote continuous improvement and delivery discipline across squads. Support teams in iterative planning, effective estimation, and realistic forecasting. Understand architectural patterns used across squads (APIs, microservices, cloud services, CI/CD pipelines). Partner with Engineering Leads and Architects to identify and manage technical risks, platform dependencies, and environment constraints. Feed technical incidents, post mortems, and reliability improvements into delivery plans and backlogs. Ensure technical debt and resilience initiatives receive appropriate prioritisation and visibility. Provide clear and concise updates on progress, risks, delivery confidence, and scope changes to senior stakeholders. Act as the primary delivery partner for Product Managers and Engineering Leads. Translate complex technical issues into business relevant insights. Maintain strong relationships across Engineering, Product, Security, Data Protection and Architecture. Shape delivery practices to support consistency and predictability across global teams. Use delivery metrics (lead time, cycle time, throughput, deployment frequency, incident trends) to drive improvement. Support squads in adopting effective tooling (Jira, Confluence, Miro, dashboards). Champion a culture of learning, experimentation, and operational excellence. Skills, Knowledge and Expertise Proven experience as an Agile Delivery Manager or Delivery Lead in a tech first or SaaS organization. Experience managing delivery for multiple squads simultaneously (typically 3-5 teams). Strong understanding of the software development lifecycle (SDLC) and modern engineering practices. Hands on experience coordinating delivery in cloud native environments (AWS, Azure, GCP). Familiarity with microservices, APIs, CI/CD pipelines, DevOps practices, and modern cloud architectures. Experience supporting incident response and post incident delivery. Demonstrated ability to identify and manage cross team dependencies in scaled engineering organizations. Skilled facilitator of Agile ceremonies and delivery rhythms. Experience with lightweight scaling practices (Scrum of Scrums, dependency boards, cross squad planning). Ability to coach teams on effective delivery habits and continuous improvement. Familiarity with SAFe, LeSS, or other scaled agile frameworks (practical experience preferred, not required). Strong experience with Jira, Confluence, Miro, and delivery reporting tools. Professional Agile certifications. Cloud practitioner certifications such as AWS Cloud Practitioner, Azure Fundamentals (AZ 900), or GCP Cloud Digital Leader.

Senior AI Engineer Department: Engineering Employment Type: Full Time Location: London Reporting To: Director of AI Engineering Compensation: £80,000 - £90,000 / year Description Reward Gateway Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of 'Making the World a Better Place to Work' and 'Enriching Connections, For Good', we are committed to transforming workplaces and improving people's daily lives. As we continue to expand our business, we have an opportunity for a Senior AI Engineer to build and optimize production AI systems. You will work on the latest third-party AI services and frameworks, implementing LLMs, RAG architectures, and agentic workflows to boost internal tools, accelerate developer productivity, and elevate customer experience. You will collaborate with senior stakeholders across Product, Operations, and Engineering, translating business requirements into well-engineered technical solutions. Key Responsibilities Technical Development & Execution Build and deliver production-ready AI and Generative AI solutions using LLMs, RAG architectures, and agents mplement and maintain retrieval pipelines using embeddings, vector databases, hybrid search, and effective chunking strategies Develop proof-of-concepts for emerging AI technologies and assess their production viability Write clean, maintainable code following established engineering best practices and quality standards Use AI coding assistants such as GitHub Copilot and Claude Code to accelerate development Participate in code reviews and architectural discussions to improve code quality and system design Collaboration & Problem-Solving Work closely with Product and Engineering teams to understand requirements and deliver iterative solutions Collaborate with cross-functional partners (Security, Data, Operations) to ensure solutions meet quality, compliance, and scalability requirements Communicate technical decisions and tradeoffs clearly with both technical and non-technical stakeholders Contribute to improving AI development practices and tooling through feedback and suggestions Learning & Growth Stay current with AI/ML developments, emerging frameworks, and best practices Learn from more experienced engineers and contribute knowledge back to the team Participate in capability-building activities and knowledge-sharing sessions Build expertise in production AI systems, model evaluation, and optimization techniques Skills, Knowledge and Expertise Essential skills Solid software engineering experience with a focus on production Generative AI and RAG systems Demonstrated experience building and deploying AI systems in production environments Strong technical expertise in LLMs, RAG, prompt engineering, embeddings, and vector databases Hands-on experience with leading LLM providers (Anthropic Claude, OpenAI, etc.) Strong Python development skills and proficiency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and familiarity with containerization (Docker, Kubernetes) Solid understanding of ML fundamentals, model evaluation, and performance optimization Good communication skills with ability to collaborate effectively across teams Data engineering capability, including working with datasets, ETL pipelines, and metrics definition Experience with agentic workflow systems and complex orchestration patterns Background in NLP or contributions to open-source AI/ML projects Experience with model fine-tuning or custom training approaches Familiarity with MLOps platforms and experiment tracking tools Experience with infrastructure as code (Terraform, CloudFormation) The Interview Process Phone interview with the Talent Acquisition Partner Online meeting with the Director of AI Engineering Virtual on-site (Three interviews: Technical, Product Team, VP Engineering) Benefits At Reward Gateway Edenred we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate. Be comfortable. Be you. We want every employee to feel comfortable bringing their passion, creativity, and individuality to work. We value all cultures, backgrounds, and experiences, because we believe diversity drives innovation and makes us stronger. Our approach to hiring and building teams is about more than filling roles - it's about creating an environment where everyone can thrive, feel supported, and contribute to our mission of making the world a better place to work.

Reward Gateway in London is looking for a Senior AI Engineer to develop production-ready AI systems utilizing LLMs and RAG architectures. The role involves collaboration with diverse teams, focusing on technical excellence and supporting workplace transformation. The ideal candidate will have solid experience in Generative AI, strong Python skills, and the ability to communicate effectively. Being part of a diverse and inclusive team is emphasized, creating an environment where everyone can thrive.

At Reward Gateway, we're driven by our culture, our clients and our mission to "make the world a better place to work." Since 2006, we've been right by the side of the world's most innovative companies and HR leaders, giving them the tools they need to overcome challenges and to connect with their people through our products and solutions. We're more than 400 strong in four different countries, and we're constantly growing. Our industry is HR technology, our objective is to increase employee engagement. Your role in Our Mission Our mission is to make the world a better place to work and to achieve this mission you will be a key member of the Engineering unit at Reward Gateway. You will be responsible for ensuring that our web-based products are built to be visually compelling and compliant with both internal and external standards. You will work in a team with QAs, designers and back-end developers to build various projects contributing to the service that Reward Gateway provides to its clients. Your team will stay organised by using the agile development practices and will deliver short-term incremental updates of the projects at hand. Some of your responsibilities and core duties will be: Identifying UX and design issues early on in the development process, and propose alternative methods of approach To interpret and develop software to written requirements and technical specifications Suggesting improvements to existing products and implementing them across our platforms Working with other members of the team to help deliver significant new features to the business based on their requirements Adhering to deadlines, prioritising your work, and delivering progress reports Completing administrative work including but not limited to, writing technical documentation and time-tracking Support the Lead Software Engineer by advising and guiding the engineering team with daily tasks where necessary Attend client facing meetings as and when required to support the Customer Success and Sales teams The experience and key skills you will have: Knowledge of Javascript design patterns Experience of working with UX design Experience of building web and mobile applications in React and React-Native Good understanding of static types and experience with TypeScript Experience of working with REST and GraphQL APIs, including writing GraphQL Schemas, resolvers and using request management libraries such as Apollo Experience with revision control systems, preferably GIT Forward-thinking, positive and self-motivated Quick and eager to learn, and willing to invest time to continuously develop new skills The interview process: Telephone Interview with our Talent Acquisition Team Video Interview with Javascript Developer and Front End Developer Take home assessment Final Interview with Lead Software Engineer and Front End Developer Be comfortable. Be you. At Reward Gateway, we want all of our employees to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, as we truly believe that diversity drives innovation. Express yourself, join our community and help us Make the World a Better Place to Work.