Staff Data Product Manager – Machine Learning

NerdWallet

. Own the ML product roadmap across NerdWallet .

Posted 11/4/2026full-timeRemote • CanadaLead💰 CA$164,000 - CA$248,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning Product Management, with a strong focus on translating business needs into technical requirements and measurable outcomes. Proven ability to collaborate across teams, mentor others, and drive the adoption of ML products that enhance consumer experiences and business workflows.

Highest-signal resume keywords

Machine Learning Product ManagementApplied Machine LearningModel EvaluationML InfrastructureData Product Shipping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingTraining Data QualityPrecision/RecallFeature StrategyModel ServingBatch vs. Real-Time InferenceLoss FunctionsOverfittingData ScienceMachine Learning

Soft Skills

Excellent CommunicationCross-Functional Leadership

Tools & Technologies

DatabricksSnowflakeAWS

Industry Keywords

Data ScienceMachine LearningBusiness ImpactRevenue GrowthCustomer Lifetime Value

Tech Stack

Tools & technologies

AWSSnowflake

About the role

Key responsibilities & impact

Own the ML product roadmap across NerdWallet
Partner with business verticals, Data Scientists, and Engineering teams to identify high-impact opportunities
Take predictive models from idea through production and adoption
Evaluate modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy
Navigate ML infrastructure decisions including model serving, feature pipelines, batch vs. real-time inference, latency, and production dependencies
Translate ambiguous business problems into model objectives, technical requirements, and measurable success criteria
Prioritize the ML roadmap across verticals based on business impact, technical feasibility, and engineering capacity
Work across Data Science, Data Engineering, Product Engineering, and business teams to integrate predictions into consumer experiences, real-time decisioning systems, and business workflows
Ensure launches are production-ready with clear dependency ownership and validated performance
Collaborate on experiments, A/B tests, and causal measurement
Define and monitor predictive, reliability, adoption, and business-outcome success criteria
Explain model performance, trade-offs, limitations, and revenue impact to senior stakeholders
Set the long-term vision for ML products, influence without formal authority, and mentor product managers and partners
Report to the VP, Data & Analytics

Requirements

What you’ll need

7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field
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
Experience with Databricks, Snowflake, AWS, or similar
Strong business sense connecting ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency
Excellent communication and cross-functional leadership
Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience
Must be located in Canada, except Quebec

Benefits

Comp & perks

Monthly Healthcare Stipend
Rejuvenation Policy – Vacation Time Off
Official public holidays in your province
Paid sabbatical
Monthly Wellness Stipend
Wifi Stipend
Cell Phone Stipend
Work from home equipment stipend
Employee Resource Groups
Hackathons and team events
Company-wide events
RRSP with a 4% match, eligible one month after hire
Financial wellness guidance
Unlimited access to a Certified Financial Planner (CFP) through Northstar