Staff Data Product Manager – Machine Learning

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of the machine learning product roadmap across NerdWallet.

• Collaborate with business verticals, Data Scientists, and Engineering teams to pinpoint high-impact opportunities.

• Drive predictive models from concept through to production and user adoption.

• Assess modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy.

• Make informed decisions regarding ML infrastructure, including model serving, feature pipelines, batch versus real-time inference, latency, and production dependencies.

• Convert ambiguous business challenges into model objectives, technical specifications, and measurable success criteria.

• Prioritize the ML roadmap across different verticals based on business impact, technical feasibility, and engineering capacity.

• Collaborate with Data Science, Data Engineering, Product Engineering, and business teams to incorporate predictions into consumer experiences, real-time decision-making systems, and business workflows.

• Ensure that launches are production-ready with clearly defined ownership of dependencies and validated performance.

• Partner on experiments, A/B tests, and causal measurement initiatives.

• Establish and track predictive, reliability, adoption, and business outcome success criteria.

• Communicate model performance, trade-offs, limitations, and revenue impact effectively to senior stakeholders.

• Set the long-term vision for ML products, influence stakeholders without formal authority, and mentor product managers and partners.

• Report directly to the VP, Data & Analytics.

⛳️ Requirements

• 7+ years of experience in Data Product Management, Data Science, Machine Learning, or a related technical field.

• Proven history of deploying production ML or data products.

• Profound knowledge in applied ML: training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation.

• Strong grasp of ML platforms and infrastructure, including model serving, feature pipelines, batch versus real-time inference, latency trade-offs, and deployment workflows.

• Experience collaborating directly with Data Scientists and ML Engineers.

• Familiarity with Databricks, Snowflake, AWS, or similar technologies.

• Strong business acumen in linking ML initiatives to revenue growth, customer lifetime value, conversion rates, and marketing efficiency.

• Excellent communication skills and cross-functional leadership abilities.

• Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related discipline, or equivalent practical experience.

• Must reside in Canada, excluding Quebec.

🏝️ Benefits

• Monthly Healthcare Stipend.

• Rejuvenation Policy – Vacation Time Off.

• Official public holidays as observed in your province.

• Paid sabbatical.

• Monthly Wellness Stipend.

• Wifi Stipend.

• Cell Phone Stipend.

• Work-from-home equipment stipend.

• Employee Resource Groups.

• Hackathons and team-building events.

• Company-wide gatherings.

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

• Financial wellness guidance.

• Unlimited access to a Certified Financial Planner (CFP) through Northstar.