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Added 1 hour ago
OH
Manager, Revenue Growth Management
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- Full-time
…internationally. We are looking for a hands-on Revenue Growth Management leader to build the company’s RGM capability from the ground up and help our commercial teams make faster, sharper…
Added 3 hours ago
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Added 4 hours ago
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Added 6 hours ago
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Added 7 hours ago
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NerdWallet

Staff Data Product Manager (Machine Learning) - Canada

Remote, Canada

Remote

$164,000 to $248,000 CAD / year · Full-time

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Job details

Pay: $164,000 to $248,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 4, 2026

Original 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.

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More about this job

Responsibilities

The Staff Data Product Manager will own the machine learning product roadmap and partner with data science and engineering teams to deliver high-impact predictive models. They will translate complex business problems into technical requirements and ensure all models are production-ready and aligned with business outcomes.

Requirements

Candidates must have 7+ years of experience in data product management, data science, or machine learning with a proven track record of shipping production products. A strong technical fluency in applied ML, infrastructure, and the ability to influence cross-functional stakeholders without formal authority is required.

Skills

Machine learning
Product management
Data science
Predictive modeling
ML infrastructure
Model serving
Feature pipelines
A/B testing
Data analysis
Strategic planning
Cross-functional leadership
Stakeholder management
Technical communication
Product roadmap
Business intelligence

Benefits

Monthly healthcare stipend
Vacation time off
Paid public holidays
Paid sabbatical
Monthly wellness stipend
Wifi stipend
Cell phone stipend
Work from home equipment stipend
RRSP with 4% match
Financial wellness guidance
Access to certified financial planner

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Product Management
Predictive Models
Databricks
Snowflake
AWS
Model Serving
Feature Pipelines
A/B Testing
Causal Measurement
Customer Lifetime Value
Lead Scoring
Product Recommendations
Precision/Recall
Loss Functions
Overfitting
Model Evaluation
Batch Inference
Real-time Inference
Latency
Product Roadmap
Data Science
Data Engineering
Product Engineering
Revenue Growth
Marketing Efficiency
Technical Leadership
Mentorship
Strategy
Analytics

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