Senior Product Manager - Grocery Fulfillment Optimization.

About the Role

Uber Grocery & Retail is scaling into a daily-use, trust-based delivery platform. Fulfillment Optimization is at the center of that ambition.

As a Senior Product Manager, you will own the systems and decision logic that determine last-mile order fulfillment and how reliably, efficiently, and cost-effectively it happens when conditions are imperfect.

This role sits at the intersection of marketplace algorithms, real-world logistics, and customer trust. You will work deeply with Marketplace and Data Science to design matching, batching, and recovery systems that adapt dynamically to supply, demand, store readiness, and inevitable failure modes, without degrading the customer or earner experience.

The work spans both physical-world execution (stores, couriers, timing, constraints) and abstract optimization (matching, batching, objective functions, cost-per-trip). The outcome directly impacts reliability, unit economics, and long-term platform credibility.

This is a senior IC role. We expect you to own ambiguous, cross-cutting problem spaces end-to-end, set direction for modeling and experimentation across teams, and influence roadmaps and prioritization well beyond your immediate scope.

What the Candidate Will Do

You'll tackle some of Uber's most complex fulfillment problems, where software decisions meet the realities of grocery stores, couriers, and time-bound customer expectations. In this role, you will:

1. Own the decision logic behind grocery fulfillment: how orders are matched, batched, planned, recovered, and completed when real-world conditions change.

2. Partner closely with Marketplace and Data Science to define matching, batching, and assignment logic that balances reliability, cost-per-trip, earner experience, and store readiness, making tradeoffs explicit and testable in code, not debated in meetings.

3. Design resilient fulfillment systems that treat recovery and graceful degradation as core product surfaces. Build backup fulfillment paths, partial-fulfillment recovery, and risk-based reassignment that materially reduce cancellations, missed deliveries, and partial fulfillment.

4. Translate operational complexity into product and modeling requirements, ensuring systems behave predictably across edge cases, degraded states, and at scale.

5. Shift fulfillment from reactive to proactive - build systems that anticipate risk (scheduled orders, supply variability, store performance) and adapt before customers feel the impact.

6. Set direction for modeling and experimentation, influencing the roadmaps of partner teams (Matching, Pricing & Incentives, Ops Tech) to move the system as a whole.

Basic Qualifications

1. 7+ years of product management experience delivering successful, durable products, with clear ownership and outcomes you can point to.

2. Strong technical and operational fluency. You've built complex systems directly or worked close enough to real-world operations - last mile supply chain and logistics networks - to understand how theory breaks in practice.

3. Experience building algorithmic or ML-adjacent products in close partnership with Data Science.

4. Hands-on data fluency. You get the data you need on your own - SQL, dashboards, instrumentation - and turn it into insight that drives decisions.

5. Exceptional attention to detail. You obsess over how systems behave in the real world across customers, earners, merchants, and operations.

6. Customer obsession. You take on messy, high-stakes problems and find elegant, simple solutions.

7. A strong driver mindset. You are biased toward action, a great collaborator, a master disambiguator and simplifier.

8. Sound judgment under ambiguity. You can reason through multi-sided tradeoffs and make principled decisions with imperfect information.

9. Influence without authority. You move multiple teams in the same direction by setting clear strategy and earning trust.

10. A consistently high bar for your own contributions and for the products you ship.

11. A never-ending desire to learn and grow.

Preferred Qualifications

1. Direct grocery, last-mile, or supply chain fulfillment experience at scale.

2. Ownership of decision systems, not just diagnostic or detection tooling.

3. Experience launching products side-by-side with Data Science on optimization models.

4. Experience building products from 0→1 in ambiguous problem spaces.

5. Experience in grocery, retail, CPG, or e-commerce, especially where physical-world execution and software optimization intersect.

Compensation and Benefits

For New York City, San Francisco, and Seattle-based roles: The base salary range is USD $190,000 - $211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan and various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.