Apply now

Posted 2 days ago

Staff Data Product Manager (Machine Learning) - Canada

@ NerdWallet

Remote in Canada

$164k–$248k/yrRemoteFull-time7+ years experience
Apply now
SIGNALS

Overview

NerdWallet is hiring a Staff Data Product Manager to own the machine learning product roadmap across the company, reporting to the VP, Data & Analytics. The role covers taking predictive models such as customer lifetime value, lead scoring and personalized recommendations from idea to production and adoption, without building models or writing production code. It is full-time, fully remote within Canada excluding Quebec, with a monthly healthcare stipend, paid sabbatical and a 4% RRSP match.

Pay:

$164,000–$248,000 a year

Responsibilities:

  • Own and prioritize the ML product roadmap across business verticals
  • Partner with Data Science and ML Engineering on modeling trade-offs and infrastructure
  • Drive models from idea to production and adoption
  • Define success criteria and measure ML impact through experiments
  • Explain model performance and revenue impact to senior stakeholders

Requirements summary:

  • 7+ years in data product management, data science or ML
  • Deep fluency in applied ML and model evaluation
  • Understanding of ML platforms, serving and feature pipelines
  • Experience with Databricks, Snowflake, AWS or similar tools
  • Strong business sense tied to revenue and customer lifetime value
  • Bachelor's or advanced degree in a technical field or equivalent experience

Tools & skills

Benefits mentioned

Retirement planPaid time offWellness
Source and dates

Employer career site / ATS feed · ashby

Employer posting date
2026-11-04
First seen by our source
2026-11-04
Source record updated
2026-11-04

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience7+ years
Hours per week40 (estimated)
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Encouraged to applyWomen, 2SLGBTQ+
EducationBachelor’s degree (preferred)
Fields of studyComputer Science, Engineering, Statistics, Mathematics
Perks mentionedGenerous paid time off, Retirement plan, Wellness, Home office allowance

Summary and details written by AI from the posting; the employer’s posting is the authority.

FieldValue
HeadquartersSan Francisco
Open jobs on Jobsy4
Job 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.

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

Similar jobs

  • Staff Data Product Manager (Machine Learning)

    Remote in Canada
    $164k–$248k/yrRemoteFull Time

    Jobgether

    7+ YOECandidates need at least 7 years in data product management, data science or machine learning, with production ML delivery experience. They need applied ML and ML infrastructure knowledge, strong product management and stakeholder skills, and a bachelor's or advanced degree or equivalent experience.

    Databricks, Snowflake, AWS

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.