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Senior Product Manager - Offers & Affordability

Uber

Senior Product Manager - Offers & Affordability

Uber

New York, NY; San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$190,000 - $190,000

Benefits & Perks

Generous vacation

Stock options or RSUs

Parental leave

Professional development

Flexible work

Team events

Parental Leave

Learning

Required Skills

SQL

Figma

Confluence

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.

---- Basic Qualifications ----

  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.

---- Preferred Qualifications ----

  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.
  • For New York, NY-based roles: The base salary range for this role is USD**$190,000 per year**
  • USD**$211,000 per year**.
  • For San Francisco, CA-based roles: The base salary range for this role is USD**$190,000 per year**
  • USD**$211,000 per year**.
    For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
    Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
    Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
    Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Associate Product Manager

0 reports

$153,422

total / year

Base

-

Stock

-

Bonus

-

$130,409

$176,435

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge