Senior Level Data Product Manager Jobs

Senior level data product manager jobs put seasoned practitioners in charge of product vision, data strategy, and the cross-functional teams that deliver measurable outcomes. Roles are concentrated across Technology & Software, Banking & Financial Services, and Retail, with a mix of on-site, hybrid, and remote positions available, and employers like Rippling, Stripe, and Amazon hiring at this level now.

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Overview

Open roles24
Top stateCalifornia
Top employerRippling
Top citySan Francisco, CA
Work type69% On-site
Top industryTechnology

Showing 5 of 24+ Senior Level Data Product Manager jobs

Senior Product Manager, Data Federation
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Added 1mo ago
Senior Product Manager, Data Federation
Starburst
Boston, Massachusetts
Product Management
$180k - $215k
Remote (US)
None

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Staff Product Data Scientist
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Added 4mo ago
Staff Product Data Scientist
Google
New York, New York
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
$279k/yr
On-Site
Bachelor's

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Product Manager — Data Management
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Added 4mo ago
Product Manager — Data Management
JPMorganChase
Plano, Texas
Product Management
Strategy & Corporate Development
Data Science & Analytics
Technical Product & Program Management
Business Strategy
$123k - $201k/yr
On-Site
Other

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Product Lead, Data Products
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Added 4mo ago
Product Lead, Data Products
Stripe
San Francisco, California
Product Management
Strategy & Corporate Development
Customer Success
Data Science & Analytics
Business Strategy
$268k - $402k/yr
Hybrid
None

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Product Marketing Lead, Data Cloud (Based in SF or NYC)
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Added 4mo ago
Product Marketing Lead, Data Cloud (Based in SF or NYC)
Rippling
San Francisco, California
Account Management
Inside Sales
Sales
$147k - $245k/yr
51-200

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Senior Level Data Product Manager Job Market

Who's Hiring

Rippling5 open roles
Stripe2 open roles
Amazon2 open roles

Top Industries Hiring

  • Technology & Software16
  • Banking & Financial Services3
  • Retail2
  • Electronics & Hardware2
  • E-Commerce & Online Marketplaces2

Senior Level Data Product Manager Jobs: Frequently Asked Questions

How do I get a senior level data product manager job?

Employers at this level look for candidates who have owned a data product end-to-end, from discovery through adoption, not just contributed to one. Demonstrating that you have set roadmap direction, aligned stakeholders across engineering and business, and measurably improved data quality or usage gives you a strong edge. A portfolio of outcomes, not just responsibilities, is what separates competitive candidates.

Which companies hire senior level data product managers?

Companies hiring senior level data product managers right now include Rippling, Stripe, and Amazon, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from organizations with mature data platforms that need experienced product leaders to drive adoption, govern data assets, and scale infrastructure decisions.

Are there remote senior level data product manager jobs?

Yes, remote and hybrid opportunities are widely available at the senior level. About 31% of senior level data product manager openings are remote or hybrid as of November 2026, reflecting how data product work translates well to distributed collaboration. On-site roles do exist, particularly at companies building or scaling centralized data teams.

What makes a data product manager role senior level?

Senior level data product manager roles are distinguished by scope, ownership, and influence. You are expected to define strategy for entire data domains, not execute tasks handed down from above. You also mentor junior product managers, resolve ambiguity without escalation, and work directly with executives and engineering leads. Technical depth matters more at this stage, including fluency with data architecture, pipelines, and governance frameworks.

Which industries hire the most senior level data product managers?

Senior level data product manager roles concentrate in Technology & Software, Banking & Financial Services, and Retail, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive the most hiring because they operate at scale with complex data ecosystems that require experienced product leadership to manage quality, access, and strategic value.