Skip to content
Level

NerdWallet

Staff Data Product Manager (Machine Learning)

NerdWallet is hiring a Staff Data Product Manager (Machine Learning) for a remote role open to applicants in United States. It pays $140k-$246k a year and Level rates it ; you can apply on NerdWallet.

Level's read on this job

  • Builds AI ●●●● is how Level rates this AI product manager role: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions Databricks and AI evaluation among its tools and skills.
  • NerdWallet has 25 other open roles on Level.
  • Posted in the last few days.

AI in this role

databricks
ai-evaluation

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:

#LI-Remote

#LI-6

How we rate this

Staff Data Product Manager (Machine Learning) at NerdWallet rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationDatabricks

Also common in AI product manager jobs at this level

Pay

This job starts at
$140k
Typical AI product manager job
$178k

This posting starts 21% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Walk me through how you've used Databricks in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get new remote AI product manager jobs (Builds AI ●●●●) by email

One email a week with the new remote AI product manager jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Data roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at NerdWallet

More AI product manager jobs

Related searches

Same AI level