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Location
In office (Bengaluru)
Seniority
Senior · 10+ years exp
Visa
Sponsors visas in United States, United Kingdom, Netherlands; no register of this country names it

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Uber scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Uber is an American mobility and delivery company founded in San Francisco in 2009 that connects independent drivers and couriers with riders and customers through its apps. It operates ride hailing in thousands of cities, a food and grocery delivery business built on the same courier network, a freight brokerage matching shippers with carriers, and an advertising business that sells placement inside those apps. Listed on the New York Stock Exchange since 2019, the company reached sustained profitability in the mid 2020s and now partners with autonomous vehicle developers rather than building self-driving technology itself.

Cleaned Document

About the role and team

Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Senior Engineering Manager (L6), whether you are leading a "team of teams" focused on hyper-personalizing the Uber Eats feed through cutting-edge ML, or overseeing the distributed compute platforms and payment systems that support millions of global earners, you are building for real-world impact at massive scale.

This role requires a leader who can navigate high-stakes ambiguity and make hard calls under pressure. You’ll be responsible for setting long-term technical vision while managing the weight of decisions that affect global reliability and business outcomes. You won't just follow a playbook; you will help write it by building high-performing teams in an environment where the pace is relentless and the stakes are high. If you lead with clarity, build with heart, and thrive in the "messy" reality of doing big things-this is where you’ll make your mark.

What you’ll do

  • Lead and grow a high-performing engineering organization of managers and staff-level ICs, fostering a culture of technical excellence, operational rigor, and continuous learning.

  • Define and execute the strategic roadmap for your domain, ensuring technical investments align with high-impact use cases and long-term business objectives.

  • Drive architectural decisions for large-scale distributed systems, challenging your teams to design robust, scalable solutions for batch compute, ML orchestration, or global payments.

  • Partner deeply across disciplines-including Product, Data Science, Design, and Finance-to identify opportunities, prioritize initiatives, and deliver seamless platform integrations.

  • Assume complete accountability for the reliability, cost-efficiency, and performance of your systems, establishing metrics that drive measurable impact.

  • Navigate a diverse set of opinions among global stakeholders, synthesizing different perspectives to drive decisions effectively and unblock execution.

Basic Qualifications

  • 10+ years of software engineering experience, with at least 5 years in engineering management and 4+ years as a manager of managers.

  • Proven track record of setting direction for an organization, constructing visions that unify multiple engineering teams and align with primary customer needs.

  • Demonstrated ability to drive high productivity and a bias to action across direct teams while proactively unblocking dependencies across the larger organization.

  • Experience coaching managers on crafting team visions and translating high-level strategy into actionable roadmaps and successful outcomes.

  • Expertise in managing organizational performance, making the hard calls when necessary, and building a reliable bench of the next generation of leaders.

  • Ability to drive a culture of high accountability for technical decisions, encouraging calculated risks and bets to balance long-term productivity with short-term needs.

  • Education: Master’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field.

Preferred Qualifications

  • PhD in a technical field with a research or applied focus on large-scale ML systems, distributed computing, or related paradigms.

  • Domain expertise in Payments, AdTech, or Autonomous Systems, with an understanding of global and regional nuances.

  • Deep understanding of product experimentation, including the statistical mechanics and analysis needed to challenge experimental results.

  • Strong storytelling and communication skills, with the ability to articulate complex technical ideas to C-level executives and non-technical audiences.

  • A "Driver" mindset: You are biased toward action, a master disambiguator, and stay resilient through constant change.

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