AI role · Open offer

AI Product Owner — logistics copilots

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Deliveroo

Full-time
Senior
AI product
Hybrid
1 Cousin Lane, London, England EC4R 3TE, United Kingdom · Hybrid
London, United Kingdom
£95k–125k/year + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 1 Cousin Lane, London, England EC4R 3TE, United Kingdom · Hybrid
Compensation: £95k–125k/year + equity
Experience level: Senior
Team: AI product
Benefits & perks

About this role

What the team is looking for and how this position fits.

Deliveroo is hiring a Senior AI Product Owner — logistics copilots on the AI product team (Hybrid · London, United Kingdom). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Deliveroo optimises logistics with AI copilots for riders, restaurants, and ops. AI Product Owner defines backlog for dispatch, support, and forecasting assistants.

Hybrid London: fast experimentation with clear guardrails on customer-facing text.

What you will do

Own roadmap for ops copilot features with measurable ETA impact.
Define acceptance tests on multilingual prompts.
Align with data science on model refresh cadence.

Stack & environment

SQL analytics, LangChain integrations, hybrid London EC4.

What we look for

Product owner experience on data or ML products.
Right to work in the UK.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Product Management

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

OpenAI APITool
Calling frontier APIs with retries, cost controls, prompt versioning, and safety filters.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Backlog prioritisation for ops copilot with measurable rider/merchant impact.
Several of these show up in recent shipped work—not only on your CV: LangChain, SQL, Product Management, and OpenAI API.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · London, United Kingdom)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

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What the employer asked for

Backlog prioritisation for ops copilot with measurable rider/merchant impact.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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