{"id":3770636,"url":"https://alion.io/job/nerdwallet-staff-data-product-manager-machine-learning","title":"Staff Data Product Manager (Machine Learning)","company":{"id":7244,"name":"NerdWallet","domain":"nerdwallet.com","url":"https://alion.io/company/nerdwallet","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Product","role_family":"Product","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":246000,"currency":"USD","period":"year","gross":null,"usd_annual":246000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"Wi-Fi","optional":false}],"status":"live","first_seen_at":"2026-11-04T20:21:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T22:06:00Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nWe’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.\nThis 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.\nThis role reports to the VP, Data & Analytics.\nWhere you can make an impact:\nPartner deeply with Data Science and ML Engineering\nDig into modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy alongside Data Scientists and ML Engineers.\n\nNavigate ML infrastructure decisions, including model serving, feature pipelines, batch vs. real-time inference, latency, and production dependencies.\n\nTurn ambiguous business problems into clear model objectives, technical requirements, and measurable success criteria.\n\nOwn the roadmap and drive models into production\nOwn 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.\n\nWork across Data Science, Data Engineering, Product Engineering, and business teams to get model predictions into consumer experiences, real-time decisioning systems, and business workflows.\n\nMake sure every launch is production-ready, with clear ownership of dependencies and validated performance against technical and business requirements.\n\nMeasure what matters\nWork with Data Science and Analytics on experiments, A/B tests, and causal measurement that prove the incremental impact of ML.\n\nDefine and monitor success criteria covering predictive performance, reliability, adoption, and business outcomes.\n\nExplain model performance, trade-offs, limitations, and revenue impact clearly to senior stakeholders.\n\nLead beyond your own roadmap\nSet the long-term vision for ML products, influence without formal authority, and mentor other product managers and partners.\n\nYour experience:\n7+ 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\nDeep fluency in applied ML: training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation\n\nStrong understanding of ML platforms and infrastructure: model serving, feature pipelines, batch vs. real-time inference, latency trade-offs, and deployment workflows\n\nExperience partnering directly with Data Scientists and ML Engineers to challenge assumptions and navigate complex dependencies\n\nExperience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar\n\nStrong business sense, with the ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency\n\nExcellent communication and cross-functional leadership, including influencing technical and business stakeholders without formal authority\n\nBachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience\n\nWhere:\nThis role will be remote (based in the U.S.).\n\nWe 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.\n\nWhat we offer:\nWork Hard, Stay Balanced (Life’s a series of balancing acts, eh?)\nIndustry-leading medical, dental, and vision health care plans for employees and their dependents\n\nRejuvenation Policy - Flexible Vacation Time Off + 11 holidays + holiday company shutdown\n\nNew Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care\n\nMental health support\n\nPaid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests\n\nHealth and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution\n\nMonthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend)\n\nWork from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends)\n\nHave Some Fun! (Nerds are fun, too)\nNerd-led group initiatives - Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities\n\nHackathons and team events across all teams and departments\n\nCompany-wide events like NerdLove (employee appreciation) and our annual Charity Auction\n\nOur 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\n\nPlan for your future (And when you retire on your island, remember the little people)\n401K with 4% company match\n\nBe the first to test and benefit from our new financial products and tools\n\nFinancial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar\n\nDisability and Life Insurance with employer-paid premiums\n\nIf you are based in California, we encourage you to read this important information for California residents linked here.\nNerdWallet 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.\nNerdWallet 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 thisnotice.\nNerdWallet 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:\nE-Verify Participation Poster (English+Spanish/Español)\n\nRight to Work Poster (English) / (Spanish/Español)","description_format":"text","description_chars":6644,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Personal Finance Apps & Education","Financial Comparison & Loan Marketplaces","Financial News & Media"],"lifecycle":[{"event":"open","at":"2026-11-04T21:28:26Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 9 · green card filings: 5","filings_12m":9,"filings_prev_12m":16,"green_card_filings_12m":5,"median_offered_wage_usd":177857,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":21,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":246000,"is_top_pay":false},"html_url":"https://alion.io/job/nerdwallet-staff-data-product-manager-machine-learning","json_url":"https://alion.io/job/nerdwallet-staff-data-product-manager-machine-learning.json","meta":{"generated_at":"2026-11-08T01:56:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4262,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7244},"rest":"https://alion.io/mcp/rest/get_company?id=7244"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnerdwallet-staff-data-product-manager-machine-learning"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnerdwallet-staff-data-product-manager-machine-learning"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnerdwallet-staff-data-product-manager-machine-learning"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nerdwallet-staff-data-product-manager-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnerdwallet-staff-data-product-manager-machine-learning"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3770636}},{"tool":"search_jobs","arguments":{"company":"nerdwallet.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3770636},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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