Staff Data Product Manager – Machine Learning

NerdWallet

. Own the ML product roadmap across NerdWallet .

Posted 11/4/2026full-timeRemote • United StatesLead💰 $140,000 - $246,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing machine learning product roadmaps, translating business problems into technical requirements, and ensuring production readiness of ML models. Strong ability to collaborate across data science, engineering, and business teams to drive impactful ML solutions.

Highest-signal resume keywords

Data Product ManagementMachine Learning ExpertiseModel EvaluationCross-Functional LeadershipBusiness Impact Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied Machine LearningModel EvaluationPrecision/RecallTraining Data ManagementLoss FunctionsOverfittingFeature StrategyPredictive ModelingA/B TestingCausal Measurement

Soft Skills

Excellent CommunicationInfluencing Without AuthorityMentoring

Tools & Technologies

DatabricksSnowflakeAWSML PlatformsModel ServingFeature PipelinesBatch InferenceReal-Time Inference

Industry Keywords

Data ScienceMachine LearningData EngineeringProduct EngineeringBusiness WorkflowsRevenue GrowthCustomer Lifetime ValueMarketing Efficiency

Tech Stack

Tools & technologies

AWSSnowflake

About the role

Key responsibilities & impact

Own the ML product roadmap across NerdWallet
Work with business verticals, Data Scientists, and Engineering teams to identify high-impact opportunities
Take predictive models from idea to production to adoption
Partner with Data Science and ML Engineering on modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy
Navigate ML infrastructure decisions involving 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
Coordinate across Data Science, Data Engineering, Product Engineering, and business teams to integrate model predictions into consumer experiences, real-time decisioning systems, and business workflows
Ensure launches are production-ready with clear dependency ownership and validated performance
Work with Data Science and Analytics on experiments, A/B tests, and causal measurement
Define and monitor success criteria for predictive performance, reliability, adoption, and business outcomes
Explain model performance, trade-offs, limitations, and revenue impact to senior stakeholders
Set the long-term vision for ML products
Influence without formal authority
Mentor other 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, including training data, ground truth, loss functions, precision/recall, overfitting, and model evaluation
Strong understanding of ML platforms and infrastructure, including 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 modern data and ML tools such as 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 based in the United States
Must be legally authorized to work in the United States

Benefits

Comp & perks

Industry-leading medical, dental, and vision health care plans for employees and their dependents
Flexible Vacation Time Off + 11 holidays + holiday company shutdown
New Parent Leave
Mental health support
Paid sabbatical after 5 years
Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution
Monthly Wellness Stipend
Cell Phone Stipend
Wifi Stipend for remote Nerds
Work from home equipment stipend for remote Nerds
Co-working space subsidy for remote Nerds
Employee Resource Groups
Hackathons and team events
Company-wide events
8 hours of volunteer time off per quarter
Company match for charitable donations
401K with 4% company match
Early access to new financial products and tools
Financial wellness guidance and unlimited access to a Certified Financial Planner through Northstar
Disability and Life Insurance with employer-paid premiums
Equity