Staff Data Product Manager (Machine Learning)
Company websitenerdwallet.com (NerdWallet, opens in new tab)
Base salary $140K to $246K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (59 min ago) · observed since
About this job
NerdWallet’s mission is to provide clarity for all of life’s financial decisions. Machine learning is how we get there at scale. It helps us understand our consumers, personalize their experiences, and connect them with the financial products that fit their needs.
We’re hiring a Staff Data Product Manager to own the ML product roadmap across NerdWallet. You’ll work with our business verticals, Data Scientists, and Engineering teams to find the highest-impact opportunities and take predictive models from idea to production to adoption. The work ranges from customer lifetime value prediction to lead scoring to personalized product recommendations.
This is a product leadership role for someone who is technically fluent in ML. You won’t build models or write production code, but you’ll be a credible, peer-level partner to the people who do. You’ll challenge assumptions on ground truth, evaluation, and serving architecture, and you’ll tie every model to a business outcome.
This role reports to the VP, Data & Analytics.
Where you can make an impact:
Partner deeply with Data Science and ML Engineering
Dig into modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy alongside Data Scientists and ML Engineers.
Navigate ML infrastructure decisions, including model serving, feature pipelines, batch vs. real-time inference, latency, and production dependencies.
Turn ambiguous business problems into clear model objectives, technical requirements, and measurable success criteria.
Own the roadmap and drive models into production
Own and prioritize the ML roadmap across verticals, balancing business impact, technical feasibility, and engineering capacity. You’ll decide what to build, defer, or say no to.
Work across Data Science, Data Engineering, Product Engineering, and business teams to get model predictions into consumer experiences, real-time decisioning systems, and business workflows.
Make sure every launch is production-ready, with clear ownership of dependencies and validated performance against technical and business requirements.
Measure what matters
Work with Data Science and Analytics on experiments, A/B tests, and causal measurement that prove the incremental impact of ML.
Define and monitor success criteria covering predictive performance, reliability, adoption, and business outcomes.
Explain model performance, trade-offs, limitations, and revenue impact clearly to senior stakeholders.
Lead beyond your own roadmap
Set the long-term vision for ML products, influence without formal authority, and mentor other product managers and partners.
Your experience:
7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field, with a track record of shipping production ML or data products
Deep fluency in applied ML: training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation
Strong understanding of ML platforms and infrastructure: model serving, feature pipelines, batch vs. real-time inference, latency trade-offs, and deployment workflows
Experience partnering directly with Data Scientists and ML Engineers to challenge assumptions and navigate complex dependencies
Experience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar
Strong business sense, with the ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency
Excellent communication and cross-functional leadership, including influencing technical and business stakeholders without formal authority
Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience
Where:
This role will be remote (based in the U.S.).
We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family.
What we offer:
Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?)
Industry-leading medical, dental, and vision health care plans for employees and their dependents
Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown
New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care
Mental health support
Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests
Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution
Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend)
Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends)
Have Some Fun! (Nerds are fun, too)
Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities
Hackathons and team events across all teams and departments
Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction
Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match
Plan for your future (And when you retire on your island, remember the little people)
401K with 4% company match
Be the first to test and benefit from our new financial products and tools
Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar
Disability and Life Insurance with employer-paid premiums
If you are based in California, we encourage you to read this important information for California residents linked here.
NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment.
NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this notice, as well as the Los Angeles Fair Chance Act, which requires this notice.
NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see:
E-Verify Participation Poster (English+Spanish/Español)
Right to Work Poster (English) / (Spanish/Español)
#LI-Remote
#LI-6
Source: NerdWallet on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($140,000) is above 25% of the 3,562 Data & ML roles nationwide listed on this site; 70 others list the same floor. Their median floor is $170,000; the middle half runs from $137,925 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingStaff Data Product Manager (Machine Learning)$140K to $246K
Senior Data Scientist (Applied ML)$136K to $252K
Senior Software Engineer, Consumer Facing Web Products$136K to $252K
Staff Software Engineer, CKD$152K to $282K
Software Engineer, AI & Automation$127K to $207K
Senior Product Manager (Credit Cards)$124K to $222K
Tech Lead Manager, Consumer Facing Web Products$160K to $294K
Chart as a table
| Role | Published base |
|---|---|
| Staff Data Product Manager (Machine Learning) (this listing) | $140K - $246K |
| Senior Data Scientist (Applied ML) | $136K - $252K |
| Senior Software Engineer, Consumer Facing Web Products | $136K - $252K |
| Staff Software Engineer, CKD | $152K - $282K |
| Software Engineer, AI & Automation | $127K - $207K |
| Senior Product Manager (Credit Cards) | $124K - $222K |
| Tech Lead Manager, Consumer Facing Web Products | $160K - $294K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-04
Where this pay comes from
Location as the employer wrote it: NerdWallet US (remote)
USD 140,000 – 246,000 · 1 YEAR · Salary · US
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
