Staff Data Product Manager (Machine Learning) - Canada

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Canada
Remote
164K-248K Annually
Senior level
Consumer Web • Fintech • Insurance • Financial Services
The Role
Own NerdWallet’s machine learning product roadmap from opportunity discovery through production and adoption. Partner with Data Science, ML Engineering, Data Engineering, Product Engineering, and business teams to define objectives, prioritize initiatives, manage technical dependencies, evaluate model performance, and measure business impact. Lead cross-functional delivery, influence senior stakeholders, establish ML product strategy, and mentor product managers and partners without formal authority.
Summary Generated by Built In

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 is a remote position and a person can be located anywhere in Canada (with the exception of Quebec).

  • NerdWallet 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.

What we offer:

Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?)

  • Monthly Healthcare Stipend

  • Rejuvenation Policy – Vacation Time Off + You will receive the official public holidays in your province

  • Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests

  • Monthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend

  • Work from home equipment stipend 

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 

Plan for your future (And when you retire on your island, remember the little people)

  • RRSP with a 4% match. Eligible one month after hire. 

  • Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar

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. 

#LI-Remote

#LI-6

Skills Required

  • 7+ years of experience in Data Product Management, Data Science, Machine Learning, or a related technical field
  • Track record of shipping production machine learning or data products
  • Deep fluency in applied machine learning, including training data, ground truth, loss functions, precision and recall, overfitting, and model evaluation
  • Understanding of ML platforms and infrastructure, including model serving, feature pipelines, batch versus real-time inference, latency trade-offs, and deployment workflows
  • Experience partnering directly with Data Scientists and ML Engineers
  • Experience with Databricks, Snowflake, AWS, or similar modern data and ML tools
  • Strong business sense connecting ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency
  • Excellent communication and cross-functional leadership skills, 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
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The Company
HQ: San Francisco, CA
721 Employees
Year Founded: 2009

What We Do

At NerdWallet, we’re on a mission to provide clarity for all of life’s financial decisions. Every day, we help people find the right credit cards and mortgage rates, refinance their student loans, track their spending and so much more. We're proud to say that millions of people turn to Nerds for our objective advice, expert info, and helpful tools. Speaking of Nerds — we're a passionate, mission-driven bunch. We know what's best for our business means doing what’s best for our consumers, and we foster professional growth while striking this balance. We work collaboratively and empathetically, guided by our company values: Hypothesize, Build, Measure, Learn; Drivers Before Solutions; Consumer, Company, Team, Self; Candid and Constructive; and Relentless Self-Improvement. In 2019, Inc. included NerdWallet on its list of the Best Workplaces, and the San Francisco Business Times listed us as one of the 50 Greater Bay Area Financial Tech Companies. Beyond generous compensation packages, we also provide a range of benefits, including top-notch health, dental, and vision insurance; commuter and gym stipends; great PTO and both maternity and paternity leave; and catered breakfasts and lunches in our beautiful San Francisco office. In 2020, NerdWallet expanded internationally. UK-based Know Your Money joined the NerdWallet family. Together, we aspire to provide the most comprehensive financial comparison website in the UK, while continuing to provide clarity for all of life’s financial decisions.

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