Engineering Manager II, Ranking and Recommendations, Grocery and Retail

Uber

Quick summary

Work type
On-site
Location
New York, NY
Salary
$232,000–$232,000 / yr
Posted
8 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $232k
$140k most similar roles pay here $243k

This role pays more than 73% of similar roles. Most pay $150,000–$232,975 — the shaded band above. At the midpoint, this role pays about $232k versus about $191k for comparable roles.

Based on 238 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Engineering Manager II, Ranking and Recommendations, Grocery and Retail

As an Engineering Manager II at Uber's Grocery and Retail division in New York, you will lead a team of backend and ML engineers responsible for the online ranking serving stack, ensuring seamless shopping experiences for millions of users. Your role involves defining and executing an ambitious product roadmap while managing and coaching team members to achieve high standards. You will drive initiatives to optimize p99 latency and infra-cost efficiency, oversee real-time data pipelines, and ensure operational excellence through robust on-call practices and post-mortem analysis. The position requires expertise in distributed systems, API design, and experience with large-scale ML platforms, as well as a proven track record of managing high-performing teams and delivering impactful projects at scale.

What you'll do

  • Lead a team of backend and ML engineers responsible for the online ranking serving stack.
  • Define and execute an ambitious product roadmap to enhance user shopping experiences.
  • Drive initiatives to optimize p99 latency and infra-cost efficiency in high-QPS services.
  • Oversee development of real-time and batch pipelines ensuring consistency between offline and online data.
  • Champion a culture focused on operational excellence, including post-mortems and degradation strategies.
  • Build automated experimentation capabilities with guardrails for debiasing and logging.
  • Partner with Data Science to integrate state-of-the-art models into production environments.

What we're looking for

  • 10+ years of experience in software engineering with a focus on high-traffic backend systems.
  • 4+ years of proven leadership in engineering management roles.
  • Deep expertise in distributed systems and API/service design for large-scale production environments.
  • Strong track record in managing SLOs/SLAs, incident response, and optimizing performance/latency.
  • Experience integrating machine learning models into production services with data science teams.
  • Proven ability to manage cross-functional projects impacting multiple organizational units.

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