Senior Product Manager - Offers & Affordability

About the Role

This is a high impact product role that will work on end to end consumer funnel to come up with opportunities to drive affordability perception of Uber Eats. The focus for the product manager will be to incubate new O to 1 products that can use marketplace insights to help users find affordable options, build new structural products to drive affordability perception and drive program ownership of affordability across the organization

---- What the Candidate Will Do ----

1. Drive the end-to-end affordability funnel - identify and prioritize opportunities across discovery, selection, and checkout that influence affordability perception.
2. Incubate new 0→1 products that leverage marketplace intelligence (e.g., pricing data, supply elasticity, and consumer sensitivity) to surface value-driven options to users.
3. Build structural affordability levers that scale across surfaces - e.g., new deal constructs, all-inclusive pricing frameworks, or "affordable by design" selection tools.
4. Own affordability perception metrics, defining and tracking the core KPIs that influence how users perceive value (conversion, retention, perceived savings, and repeat intent).
5. Partner cross-functionally with design, data science, marketing, and regional ops to drive alignment and execution across the org.
6. Be the program owner for affordability, driving strategy reviews, narrative alignment, and experimentation frameworks to influence product and marketing roadmaps company-wide.

1. 6+ years of product management experience with a track record of building and launching impactful consumer-facing products at scale.
2. Proven ability to leverage data and analytics to uncover user insights, diagnose funnel friction, and inform prioritization and product strategy.
3. Strong consumer intuition and empathy - you deeply understand how users make trade-offs around price, value, and choice, and can translate those insights into intuitive experiences.
4. Demonstrated success working in cross-functional environments, partnering closely with design, data science, engineering, and marketing to deliver measurable outcomes.
5. Excellent written and verbal communication skills, with experience crafting narratives that influence senior stakeholders and drive alignment.
6. Highly organized, execution-oriented, and comfortable operating in ambiguous 0→1 environments where the problem space is evolving.

1. Advanced degree (e.g., MBA, MS, or PhD) in a quantitative or behavioral field such as Economics, Statistics, Computer Science, Data Science, Psychology, or Behavioral Economics - strongly preferred.
2. Deep analytical and data fluency - strong command of experimentation frameworks, causal inference, and interpreting model outputs to guide product decisions.
3. Experience using data tools (SQL, Python, or similar) to self-serve insights and inform prioritization or feature iteration.