Staff Data Product Manager – Machine Learning

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

📋 Description

• Lead the ML product roadmap for NerdWallet.

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

• Drive predictive models from concept to production and ensure their adoption.

• Work alongside Data Science and ML Engineering on modeling trade-offs, defining ground truths, assessing training data quality, and strategizing features.

• Manage ML infrastructure decisions regarding model serving, feature pipelines, batch vs. real-time inference, latency, and production dependencies.

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

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

• Facilitate collaboration between Data Science, Data Engineering, Product Engineering, and business teams to embed model predictions into consumer experiences, real-time decision-making systems, and business workflows.

• Ensure all launches are production-ready with clear ownership of dependencies and validated performance metrics.

• Collaborate with Data Science and Analytics on experiments, A/B testing, and causal measurement initiatives.

• Set and track success criteria for predictive performance, reliability, adoption, and business results.

• Clearly articulate model performance, trade-offs, limitations, and revenue implications to senior stakeholders.

• Establish a long-term vision for ML products.

• Influence stakeholders without formal authority.

• Mentor fellow product managers and partners.

• Report directly to the VP of Data & Analytics.

⛳️ Requirements

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

• Proven track record of launching production ML or data products.

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

• Strong comprehension of ML platforms and infrastructure, particularly in model serving, feature pipelines, batch vs. real-time inference, latency trade-offs, and deployment workflows.

• Experience working directly with Data Scientists and ML Engineers.

• Familiarity with modern data and ML tools such as Databricks, Snowflake, AWS, or similar.

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

• Exceptional communication skills and cross-functional leadership capabilities.

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

• Must reside in the United States.

• Must possess legal authorization to work in the United States.

🏝️ Benefits

• Comprehensive medical, dental, and vision health care plans for employees and their dependents.

• Flexible Vacation Time Off along with 11 holidays and a holiday company shutdown.

• New Parent Leave.

• Access to mental health support.

• Paid sabbatical after 5 years of service.

• Health and Dependent Care FSA and HSA Plan with a monthly contribution from NerdWallet.

• Monthly Wellness Stipend.

• Cell Phone Stipend.

• Wifi Stipend for remote employees.

• Equipment stipend for remote employees working from home.

• Co-working space subsidy for remote employees.

• Employee Resource Groups.

• Opportunities for hackathons and team events.

• Company-wide events.

• 8 hours of volunteer time off each quarter.

• Company matching for charitable donations.

• 401K plan with a 4% company match.

• Early access to new financial products and tools.

• Financial wellness guidance and unlimited access to a Certified Financial Planner through Northstar.

• Employer-paid Disability and Life Insurance premiums.

• Equity opportunities.