{"id":4268904,"url":"https://alion.io/job/uber-sr-manager-engineering-engineer-3","title":"Sr Manager, Engineering - Engineer","company":{"id":230,"name":"Uber","domain":"uber.com","url":"https://alion.io/company/uber","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":88,"open_postings":164,"ghost_share":0.024,"stale_share":0.561,"repost_share":0.073,"time_to_fill_p50_days":13,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-11-13T15:08:22Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T17:13:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Cleaned Document\n\nAbout the role and team\n\nLeading 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.\nThis 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.\n\nWhat you’ll do\n\nLead and grow a high-performing engineering organization of managers and staff-level ICs, fostering a culture of technical excellence, operational rigor, and continuous learning.\n\nDefine and execute the strategic roadmap for your domain, ensuring technical investments align with high-impact use cases and long-term business objectives.\n\nDrive architectural decisions for large-scale distributed systems, challenging your teams to design robust, scalable solutions for batch compute, ML orchestration, or global payments.\n\nPartner deeply across disciplines-including Product, Data Science, Design, and Finance-to identify opportunities, prioritize initiatives, and deliver seamless platform integrations.\n\nAssume complete accountability for the reliability, cost-efficiency, and performance of your systems, establishing metrics that drive measurable impact.\n\nNavigate a diverse set of opinions among global stakeholders, synthesizing different perspectives to drive decisions effectively and unblock execution.\n\nBasic Qualifications\n\n10+ years of software engineering experience, with at least 5 years in engineering management and 4+ years as a manager of managers.\n\nProven track record of setting direction for an organization, constructing visions that unify multiple engineering teams and align with primary customer needs.\n\nDemonstrated ability to drive high productivity and a bias to action across direct teams while proactively unblocking dependencies across the larger organization.\n\nExperience coaching managers on crafting team visions and translating high-level strategy into actionable roadmaps and successful outcomes.\n\nExpertise in managing organizational performance, making the hard calls when necessary, and building a reliable bench of the next generation of leaders.\n\nAbility to drive a culture of high accountability for technical decisions, encouraging calculated risks and bets to balance long-term productivity with short-term needs.\n\nEducation: Master’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field.\n\nPreferred Qualifications\n\nPhD in a technical field with a research or applied focus on large-scale ML systems, distributed computing, or related paradigms.\n\nDomain expertise in Payments, AdTech, or Autonomous Systems, with an understanding of global and regional nuances.\n\nDeep understanding of product experimentation, including the statistical mechanics and analysis needed to challenge experimental results.\n\nStrong storytelling and communication skills, with the ability to articulate complex technical ideas to C-level executives and non-technical audiences.\n\nA \"Driver\" mindset: You are biased toward action, a master disambiguator, and stay resilient through constant 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