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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager - (AI, Data and Publishing Platform) - **Company:** Which? - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Computing, Cyber Security, Information Engineering, Data Infrastructure, Data Integrity, Scrum Methodology, Large Language Models, Snowflake, Indexer, AI Platforms, Data Analytics, Data Management, Front End Software Development, Data Pipelines, Programming Languages - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815445984-engineering-manager-ai-data-and-publishing-platform ## About the Role You'll be experienced in line-managing, mentoring, and coaching Lead Data Engineers, TLMs and engineers. * Platform Leadership: Proven experience guiding teams that build AI/GenAI products, scalable data platforms (Snowflake), and high-traffic content publishing infrastructure. * Team & Delivery: Experienced in delivering high-impact and tactical initiatives across Engineering and the wider organization, along with managing deadlines, budget, and stakeholder reporting. Experienced working within a product-led environment and collaborating with cross-functional product teams using Agile practices (Scrum or Kanban). * Technical Expertise: Proficient in relevant tools, cloud technologies (especially AWS), and programming languages for data, AI, and platform infrastructure. Proactively monitors emerging technologies, including LLMs, to assess their potential and provide business recommendations. * Culture & Alignment: Passionate about driving team learning and development by leading through example. Experienced in working in an environment with business OKRs. ## Description We are seeking a passionate Engineering Manager who will co-lead our Platform product area with Platform Leads (Product, Design, Principal Engineers), comprising three strategic squads: AI Platform, Data Platform, and Content Publishing Infrastructure. This role is pivotal in building the core infrastructure that enables the entire organisation to deliver engaging, data-driven, and reliably published experiences for our customers. You will provide technical expertise and leadership for a high-performing team dedicated to designing and delivering scalable systems that leverage cutting-edge technologies, data insights, and resilient content delivery pipelines. This role involves a strategic focus on the development of foundational platforms, including a robust Data Platform built on Snowflake, a cutting-edge AI Platform using Large Language Models (LLMs), and building highly available foundational components to publish strategic Which? content. You will be responsible for fostering a culture of continuous improvement, innovation, and collaboration with cross-functional teams to align engineering outcomes with our mission. AI, Data and Publishing Platform You will be driving Engineering excellence for three of the key strategic platform areas for Which?, enabling the organization to leverage AI, data, and content distribution at scale to deliver on our consumer mission. The team consists of approximately 15 engineers (internal and external partners). The Three Squads You Will Oversee Are * AI Platform: A team dedicated to building and operationalizing GenAI products like Smart Search, MCP layer, etc., using AWS Bedrock, AWS Agentcore, Guardrails, Agents, RAG, and related technologies. * Data Platform: A team focused on building a scalable data platform using Snowflake and Snowflake intelligence, with a focus on data engineering, governance, and empowering teams to create and consume self-service data products. * Content Publishing Infrastructure & Experience Squad: A team focussed on building foundational blocks to power content management, search indexing, and front-end design systems for key Which? applications, ensuring content is delivered reliably, quickly, and optimally across all channels. What kind of work will you do? * Senior Thought Leadership: Co-Build and execute a robust platform strategy with Platform Leads (Product, Design, Principal Engineers) for the AI, Data, and Content Publishing domains. Collaborate with Product, Design, and Engineering leaders to define and achieve OKRs and roadmaps. * Team Leadership: Build and manage high-performing teams. Oversee 3 cross-functional squads to deliver foundational platforms that enable the wider business. Support & Mentor Tech Lead Managers (TLM's) and Engineers to foster growth and support their development. * Stakeholder Management: Align teams with overall strategy. Communicate with senior stakeholders, as well as internal customers (other engineering teams), to balance technical and business needs. Ensure seamless collaboration with Product, UX, and InfoSec, especially regarding governance and security across all three platforms. * Delivery: Drive teams to meet commitments and communicate progress through showcases and meetings. Ensure the timely delivery of reliable APIs, robust data pipelines, a secure AI environment, and highly available, high-performance content publishing components. * Recruitment: Facilitate and participate in engineering recruitment efforts for the platform teams. * Technical Direction: Engage in deep technical discussions with Principal Engineers and Tech Leads to assess trade-offs and guide key architectural decisions for the AI, Data, and Content Publishing platforms. * Engineering Excellence: Set high standards, promote best practices for data integrity, AI governance, and content delivery performance, and foster a learning culture through problem-solving and retrospectives. * Engineering Culture: Shape engineering culture, organise learning sessions, and support annual hackathons. * Process Improvement: Drive continuous improvement of processes within the platform teams, focusing on a culture of continuous learning and value-added work. * Supplier Partnerships: Collaborate with 3rd-party suppliers (e.g., Snowflake, AWS, Content Platforms) to ensure they are delivering against their commitments and that our teams are leveraging their platforms effectively., The Engineering Manager sits on our management track and it's common for Engineering managers to continue learning horizontally with different domains and progress into a Head of Engineering role. However, we are very open for Engineering Managers to switch to our individual contributor track and become a principal engineer., * Stage 1: Meet Head of Engineering (45 minutes) - Remote - Opportunity for you to learn more about the role, answer any questions you have, and provide some examples of providing technical direction across multiple teams and driving product outcomes through technology. * Stage 2: Technical and Problem solving, Platform Mindset (60 mins) - Remote * Stage 3: Culture, Product Mindset, team leadership (60 mins) - In Person ## Related Videos - [This App Reached 10,000 Users in One Week. 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