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NerdWallet

Personal finance guidance with product comparisons

Staff Data Product Manager - Machine Learning

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in Canada

About the Job

Requirements

  • At least 7 years of experience in Data Product Management, Data Science, Machine Learning, or a related technical field, with a track record of shipping production machine learning or data products.
  • Deep fluency in applied machine learning, including training data, ground truth, loss functions, precision and recall, overfitting, and model evaluation.
  • Strong understanding of machine learning platforms and infrastructure, including model serving, feature pipelines, batch versus real-time inference, latency trade-offs, and deployment workflows.
  • Experience partnering directly with Data Scientists and Machine Learning Engineers to challenge assumptions and navigate complex dependencies.
  • Experience with modern data and machine learning tools such as Databricks, Snowflake, AWS, or similar.
  • Strong business sense and the ability to connect machine learning work to revenue growth, customer lifetime value, conversion, and marketing efficiency.
  • A bachelor's or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or equivalent practical experience.

Responsibilities

  • Partner with Data Science and Machine Learning Engineering to examine modeling trade-offs, ground-truth definitions, training-data quality, precision and recall, and feature strategy.
  • Navigate machine-learning infrastructure decisions, including model serving, feature pipelines, batch versus real-time inference, latency, and production dependencies.
  • Translate ambiguous business problems into clear model objectives, technical requirements, and measurable success criteria.
  • Own and prioritize the machine-learning roadmap across business verticals, balancing business impact, technical feasibility, and engineering capacity, and decide what to build, defer, or decline.
  • 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 each launch is production-ready, with clear ownership of dependencies and validated performance against technical and business requirements.
  • Work with Data Science and Analytics on experiments, A/B tests, and causal measurement to demonstrate the incremental impact of machine learning.
  • 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 machine-learning products, influence without formal authority, and mentor other product managers and partners.

About the Company

NerdWallet

Personal finance guidance with product comparisons

NerdWallet is a financial guidance platform that helps people compare and understand financial products. It offers tools and resources for credit cards, mortgages, personal loans, insurance, and debt options, plus calculators and educational content to simplify complex money topics. Users access detailed product comparisons and expert advice, while the site earns revenue through affiliate marketing by earning commissions when users sign up for products via recommendations. This model lets the service be free for users while maintaining trust and transparency. NerdWallet’s goal is to help consumers make smarter financial decisions by providing clear information and practical tools.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Mateo, CA
Founded
2009

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