Sr Engineering Manager - Eater

Uber Uber · Consumer · New York, NY · Engineering

This role is for a Sr. Engineering Manager on the Eater Growth team at Uber, focusing on shaping product vision to improve key business metrics like acquisition, retention, and growth. The manager will lead experimentation, collaborate with cross-functional teams, and oversee the design and implementation of robust systems, while also hiring and developing engineering talent. The role is not directly AI/ML focused but operates within a mature consumer product domain.

What you'd actually do

  1. Lead experimentation and learning to find high-potential product features and 0 to 1 big bets.
  2. Work with stakeholders and multi-functional teams to lead planning and execution through a full product cycle
  3. Partner with engineering teams, help see opportunities, gather requirements, and help shape the technology roadmap and vision for the team
  4. Lean on technical experience to facilitate technical decision making and raise the bar on the team’s engineering craft
  5. Hire high-quality engineering talent, lead and develop your team
  6. Develop an operational model to achieve operational excellence for engineering and product metrics

Skills

Required

  • software engineering
  • engineering management
  • people leadership
  • execution
  • collaboration
  • technical decision making
  • system design
  • analytical skills

Nice to have

  • growth
  • pricing
  • e-commerce
  • fullfillment
  • complex backend systems
  • business sense
  • product management partnership
  • communication

What the JD emphasized

  • 15+ years of software engineering experience, with 7+ years as an engineering manager and people leader
  • Experience executing against high-stakes business goals and extensive engineering priorities.
  • Experience partnering across functions and organizational boundaries to effectively advocate for team, business, and company priorities.
  • Experience with analytical or optimization problem spaces and strong collaboration with data science and product functions.
  • A strong ability to shepherd the design and implementation of robust, high-scale systems and to challenge engineers to develop extensible and reusable solutions.