Staff Data Product Manager (Machine Learning)

Staff Data Product Manager (Machine Learning)

Location

NerdWallet US

Employment Type

Full time

Location Type

Remote

Department

Data

Compensation

US

US $140K – $246K • Offers Equity

Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location.

Overview

Application

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)

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