Engineering Manager, Competitive Data Platform

Uber Uber · Consumer · Sunnyvale, CA · Engineering

Engineering Manager to lead the technical vision and execution for Uber's competitive data platform. This role involves extracting meaningful insights from incomplete, unstructured, noisy, and often unreliable data sources to understand market dynamics, competitor behavior, and pricing strategy. The systems built will integrate low-trust external data into internal pricing and incentive systems, and shape narratives for strategic decisions.

What you'd actually do

  1. Lead, develop and retain a team of exceptional engineers, providing technical direction, setting engineering and operational excellence standards, and fostering a culture of high-quality system design, experimentation, and resilience.
  2. Lead the design and development of systems that extract strategic insights from unreliable and fragmented market data
  3. Drive critical cross-functional initiatives by partnering with data science, security, product, and engineering teams to align technical solutions with business priorities and long-term strategy.

Skills

Required

  • 5+ years of software engineering experience
  • 3+ years of engineering management experience
  • Experience building and operating data pipelines and data platforms at scale
  • Strong technical background and experience leading projects involving backend systems, infrastructure, or platform development
  • Experience improving system reliability, performance, and observability
  • Experience hiring, developing, and managing junior to staff-level engineers
  • Stellar written and verbal communication skills with the ability to communicate to technical and non-technical audiences up to 3 levels above

Nice to have

  • Experience working with systems that manage marketplace dynamics
  • Machine Learning Experience: supervised and unsupervised learning techniques
  • Cybersecurity Knowledge: Understanding of web scraping techniques and countermeasures.
  • Masters Degree or higher in Computer Science or related field

What the JD emphasized

  • extract signal from chaos
  • integrating low-trust external data
  • unreliable and fragmented market data