Product Operations Manager, Earner Progression

Uber Uber · Consumer · New York, NY +1 · Product

Product Operations Manager role focused on the Earner Loyalty program, shaping driver recognition and motivation. The role involves owning the global roadmap, serving as a domain expert, scaling products, and championing earner pain points. Requires experience in product or analytical roles, an AI-native mindset for operational efficiency, technical fluency, and a bias for action. Preferred qualifications include experience scaling marketplace, AI, or platform businesses.

What you'd actually do

  1. Own and develop the global roadmap for the Uber Pro program, from vision setting and user problem identification to solution design and GTM strategy.
  2. Serve as the domain expert for Uber’s global business, guiding the technical team to solve high-impact, complex problems.
  3. Scale earner products and solutions by identifying creative solutions and maintaining high product launch velocity.
  4. Champion earner pain points, advocating for user needs, and securing stakeholder buy-in in improving earner experience.

Skills

Required

  • 3+ years in high-impact product or analytical roles
  • proven history of scaling products in fast-paced, ambiguous environments
  • Bachelor's degree or equivalent
  • Actively leverage AI frameworks and emerging tools to redefine operational efficiency and accelerate data-driven decision-making.
  • Ability to deconstruct complex marketplace concepts and translate quantitative data into actionable business strategies.
  • proactive builder who thrives in uncertainty, taking ownership of roadblocks and having a track record of driving high-impact outcomes.
  • Exceptional storytelling skills with the ability to distill complex data into concise, "spot-on" insights that drive executive decision-making.

Nice to have

  • MBA, or Master's in business, finance, or quantitative fields
  • Experience in scaling marketplace, AI, or platform businesses.
  • Experience within top-tier, fast-paced technology organizations.

What the JD emphasized

  • scaling products in fast-paced, ambiguous environments
  • Actively leverage AI frameworks and emerging tools to redefine operational efficiency and accelerate data-driven decision-making.
  • scaling marketplace, AI, or platform businesses