Senior Product Manager - Grocery Fulfillment

Uber
New York, United StatesPosted 4 April 2026

Tech Stack

Job Description

Senior Product Manager - Grocery Fulfillment Department: Product Team: Product Management Location: New York, United States Type: Full-Time **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 **Senior Product Manager, Grocery Fulfillment**, you will own the systems and decision logic that determine whether an order is fulfilled at all — 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 solutions that dynamically adapt 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** (modeling, tradeoffs, objective functions). The outcome directly impacts reliability, unit economics, and long-term platform credibility. **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, shaping how orders are planned, matched, recovered, and completed when real-world conditions change. 2. Design resilient fulfillment systems that improve reliability and reduce cancellations, missed deliveries, and partial fulfillment — treating recovery and degradation as core product problems, not edge cases. 3. Partner closely with Marketplace and Data Science to define algorithmic approaches that balance reliability, cost efficiency, earner experience, and store readiness. 4. Translate operational complexity into product and modeling requirements, ensuring systems behave predictably across edge cases, degraded states, and at scale. 5. Help shift fulfillment from reactive to proactive, building systems
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