Engineering Manager II, Ranking and Recommendations, Grocery and Retail

Uber; New York (NY); Hybride; USD 232 000 - 258 000; Plein temps

Avantages offerts par ce poste

Bonus program

Equity

401(k) plan

Résumé du poste

Uber is seeking an Engineering Manager for the Grocery & Retail Consumer Ranking team in New York City. You will lead the online ranking engine and real-time services that power millions of shoppers, shaping how we deliver fast, relevant results.

You will partner with Data Science and ML Engineering to integrate models into production at Uber’s global scale, driving performance, reliability, and cost efficiency while mentoring a growing team of backend and ML engineers.

Qualifications

• 10+ years in software engineering focusing on high-traffic backend systems.
• 4+ years of engineering management experience.
• Deep experience with distributed systems, API design, and high-scale serving.
• Proven track record in owning SLOs/SLAs and incident response.
• Experience partnering with DS/MLE on ML-backed services and models.
• Strong written and verbal communication to influence roadmaps.

Responsabilités

• Lead the team of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces.
• Own the Roadmap: Define, prioritize, and execute an ambitious product roadmap through strong people leadership.
• Drive Reliability & Performance: Improve p99 latency, tail-latency, and infra-cost efficiency for high-QPS services.
• Evolve Data Flow: Develop real-time and batch pipelines ensuring online/offline consistency.
• Technical Vision: Lay out multi-quarter roadmap for ranking infra and migrations.
• Operational Excellence: Foster on-call health, post-mortems, and graceful degradation strategies.
• Scale Experimentation: Extend automated experimentation with guardrails, logging, debiasing.

Connaissances

Senior software engineering

Leadership & people management

Distributed systems

SLOs/SLAs ownership

ML collaboration

Communication

Description du poste

About the Role

Uber has expanded its services beyond transporting people to include the delivery of nearly anything customers need, often within hours, with Grocery & Retail being a major growth priority.

The Grocery and Retail Consumer Ranking Team is dedicated to creating a seamless and efficient shopping experience, enabling users to effortlessly find what they need.

As the Engineering Manager for the Grocery & Retail Consumer Ranking team, you will lead the evolution of Uber’s online ranking architecture and high-throughput serving stack. Your primary mission is to build the engine that powers seamless shopping experiences, ensuring that millions of users can find what they need in milliseconds.

We are looking for a systems-focused leader to drive the design of our online retrieval and ranking services. You will oversee the delivery of real-time features, caching strategies, and storage solutions, while ruthlessly optimizing for p99 latency, resource costs, and 99.99% availability. This role is at the intersection of complex distributed systems and product innovation, requiring a leader who can balance rapid experimentation with rock-solid operational excellence.

While the core of this role is backend infrastructure, you will partner closely with Data Science and ML Engineering to integrate state-of-the-art models (Deep Learning, Embeddings, and GenAI) into a production environment that operates at Uber's global scale.

What You Will Do

1. Lead the team of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces.
2. Own the Roadmap: Define, prioritize, and execute an ambitious product roadmap through strong people leadership—managing, coaching, and growing all team members.
3. Drive Reliability & Performance: Lead high-impact initiatives to improve p99 latency, tail-latency mitigation, and infra-cost efficiency for high-QPS services.
4. Evolve Data Flow: Oversee the development of real-time and batch pipelines, ensuring online/offline consistency for features and model inputs.
5. Technical Vision: Lay out the multi-quarter roadmap for ranking infra, leveraging senior ICs to drive architectural migrations and capacity planning.
6. Operational Excellence: Champion a strong engineering culture of on-call health, post-mortems, and graceful degradation/fallback strategies.
7. Scale Experimentation: Build and extend automated experimentation capabilities, including guardrails, logging, and debiasing.

Basic Qualifications

1. Experience: 10+ years in software engineering with a primary focus on high-traffic backend systems.
2. Leadership: 4+ years of engineering management experience.
3. Backend & Systems Expertise: Deep experience in distributed systems, API/service design, and high-scale production serving.
4. Operational Ownership: Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization.
5. ML Partnership: Experience delivering ML-backed services and the ability to partner with DS/MLE on model requirements and evaluation.
6. Communication: Strong verbal and written communication skills with the ability to influence technical and product roadmaps.

Preferred Qualifications

1. People leadership: Unwavering commitment to maintaining high standards for personal contributions, team members, and product outcomes. A successful track record of hiring and developing high-performing teams.
2. Scale & Scope: Experience managing teams of 10+ engineers in a large-scale tech company (10k+ employees).
3. ML Platform Mastery: Experience integrating with large-scale ML platforms (feature stores, training infra, model registry) and model rollout patterns (canary/shadow, auto-rollback).
4. Optimization: Proven ability to make practical tradeoffs among latency, model quality, capacity, and maintainability.
5. Project Impact: History of leading multi-quarter re-architecture projects or migrations that significantly reduced costs or improved availability.
6. Cross-functional Negotiation: Ability to partner and negotiate cross-organizationally (Marketplace, Search, Merchandising) to integrate ranking outputs into end-to-end user flows.

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.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

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. You will also be eligible for various benefits.