Product Manager - Mobility Marketplace

Uber Uber · Consumer · Bangalore, India · Product

Product Manager for Uber's Mobility Marketplace, focusing on matching algorithms to improve rider and driver experience. Requires experience with algorithmic/ML-powered products and driving execution in a metrics-driven environment.

What you'd actually do

  1. Own a matching-focused roadmap for a set of complex marketplace use cases—defining the problem, strategy, success metrics, and launch guardrails.
  2. Partner closely with engineering and data science to translate product goals into algorithmic requirements, run experiments, interpret results, and iterate quickly.
  3. Drive user discovery for the earner experience—identify pain points, validate hypotheses, and translate learnings into UX/product changes; create lightweight mocks to accelerate alignment.
  4. Lead end-to-end execution from discovery through launch and post-launch iteration, including monitoring key marketplace health metrics and diagnosing issues.
  5. Drive cross-team alignment with global product & ops stakeholders through strong asynchronous execution: clear PRDs, decision docs, tradeoff framing, and regular progress updates.

Skills

Required

  • 3+ years of Product Management experience in an experimentation-heavy, metrics-driven environment
  • Bachelor’s degree in a quantitative/technical field (or equivalent practical experience)
  • Comfortable working deeply with engineering and data science
  • Writing clear requirements for complex systems
  • Understanding tradeoffs
  • Using data/metrics to make decisions
  • Proactively and autonomously drive clarity and momentum in ambiguous problem spaces
  • Creating structured plans
  • Making decisions with incomplete information
  • Keeping distributed stakeholders aligned through crisp written communication and regular updates

Nice to have

  • Statistics/experimentation expertise
  • Experience with multi-sided marketplaces (rides, delivery, logistics, ads, etc.)
  • Experience with real-time decisioning systems
  • Hands-on experience partnering on model/algorithm changes
  • Academic/professional background in ML, research, statistics, or optimization
  • Strong intuition for measurement, guardrails, and unintended consequences
  • Experience conducting user discovery with frontline users (e.g., earners/riders)
  • Translating insights into product requirements
  • Collaborating with design/engineering to improve end-to-end user experience
  • Ability to create lightweight mocks/prototypes (e.g., Figma)
  • Experience collaborating on pricing, incentives, or user segmentation

What the JD emphasized

  • Algorithmic, data-driven product experience
  • Strong technical foundation
  • High ownership + structured communication
  • Marketplace / real-time systems expertise
  • Depth in optimization / applied ML
  • User discovery + product UI experience

Other signals

  • algorithmic product management
  • ML-powered products
  • marketplace dynamics
  • real-time systems