Staff Product Manager, Generative AI Platform
London · London, United Kingdom - Deliveroo · 8+ years experience · Full-time · Posted Oct 20, 2026
At a glance
- Experience
- 8+ years experience
- Employment
- Full-time
- Location
- London · London, United Kingdom - Deliveroo
About the role
- We're looking for a Staff Product Manager in London to own major parts of that platform.
- Your customers are the engineers and ML researchers across all three brands who build AI products and agents.
- You'll work with engineering and product leaders in Europe and the US, and your decisions will shape how AI gets built across every market we operate in.
Responsibilities
- Set the strategy and roadmap for core parts of our GenAI platform: model access and routing, agent infrastructure, and evaluation and observability.
- Build one platform for three brands by spotting patterns across Deliveroo, Wolt and DoorDash teams and turning them into shared building blocks.
- Shape our model portfolio across frontier and open-weight models, deciding where to build, buy or partner.
- Make agents production-ready by giving teams safe access to company knowledge, tools and systems with quality, latency and cost controls.
- Own the evaluation strategy so teams can prove quality before launch and keep improving it after.
- Stay close to your customers by working with teams shipping AI experiences, measuring adoption and time-to-production, and letting real production use drive the roadmap.
- Lead at a senior level, presenting to senior technical leadership and influencing strategy beyond your own roadmap.
Requirements
- Significant product management experience (typically 8+ years, or equivalent), including owning a technical platform, developer product, or ML or data infrastructure.
- Hands-on experience with LLM-based products or platforms in production, such as assistants, agents, evaluation or inference.
- A platform mindset to notice problems five teams keep solving and turn them into one capability everyone can use.
- The ability to go deep with engineers and ML researchers, then explain trade-offs in plain language to a senior leader.
- A track record of leading large, ambiguous areas on your own and aligning stakeholders across companies, countries and time zones.
- Comfort with regular overlap with US time zones, including some late-afternoon and evening calls.
Benefits
- Competitive salary
- Equity options
Workplace
- Comfort with regular overlap with US time zones, including some late-afternoon and evening calls.
Skills
- LLM
- Generative AI
- ML