{"id":3770635,"url":"https://alion.io/job/nerdwallet-staff-data-product-manager-machine-learning-canada","title":"Staff Data Product Manager (Machine Learning) - Canada","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":94,"open_postings":9,"ghost_share":0,"stale_share":0.444,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-04T06:34:25Z"}},"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":["CA"],"hiring_countries_total":1,"salary":{"min":164000,"max":248000,"currency":"CAD","period":"year","gross":null,"usd_annual":177609},"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":"2026-11-04T20:21:17Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T02:17:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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 is a remote position and a person can be located anywhere in Canada (with the exception of Quebec).\n\nNerdWallet is proud to be a remote-first company! 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.\n\nWhat we offer:\nWork Hard, Stay Balanced (Life’s a series of balancing acts, eh?)\nMonthly Healthcare Stipend\n\nRejuvenation Policy - Vacation Time Off + You will receive the official public holidays in your province\n\nPaid sabbatical for Nerds to recharge, gain knowledge and pursue their interests\n\nMonthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend\n\nWork from home equipment stipend\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\nPlan for your future (And when you retire on your island, remember the little people)\nRRSP with a 4% match. Eligible one month after hire.\n\nFinancial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar\n\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.","description_format":"text","description_chars":5406,"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":[],"hiring_locations":[{"name":"Canada","iso":"CA","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":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["conf:3","win:early"],"computed_at":"2026-11-05T05:44:16Z"},"pay":{"stated_usd_annual":177609,"is_top_pay":false},"html_url":"https://alion.io/job/nerdwallet-staff-data-product-manager-machine-learning-canada","json_url":"https://alion.io/job/nerdwallet-staff-data-product-manager-machine-learning-canada.json","meta":{"generated_at":"2026-11-05T05:44:16Z","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":6781,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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-canada"},{"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-canada"},{"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-canada"},{"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-canada\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnerdwallet-staff-data-product-manager-machine-learning-canada"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3770635}},{"tool":"search_jobs","arguments":{"company":"nerdwallet.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3770635},"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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