NerdWallet makes it easy to find the right financial product for you. Our Nerds do all the research so you don’t have to. Backed by IVP.
About the role
We’re hiring a Staff Data Product Manager to own the ML product roadmap across NerdWallet. You’ll work with our business verticals, Data Scientists, and Engineering teams to find the highest-impact opportunities and take predictive models from idea to production to adoption. The work ranges from customer lifetime value prediction to lead scoring to personalized product recommendations. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 7+ years in Data Product Management, Data Science, Machine Learning, or a related technical field, with a 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 to challenge assumptions and navigate complex dependencies
- Experience with modern data and ML tools such as Databricks, Snowflake, AWS, or similar
- Strong business sense, with the ability to connect ML work to revenue growth, customer lifetime value, conversion, and marketing efficiency
More about this role
NerdWallet’s mission is to provide clarity for all of life’s financial decisions. Machine learning is how we get there at scale. It helps us understand our consumers, personalize their experiences, and connect them with the financial products that fit their needs.
We’re hiring a Staff Data Product Manager to own the ML product roadmap across NerdWallet. You’ll work with our business verticals, Data Scientists, and Engineering teams to find the highest-impact opportunities and take predictive models from idea to production to adoption. The work ranges from customer lifetime value prediction to lead scoring to personalized product recommendations.
This is a product leadership role for someone who is technically fluent in ML. You won’t build models or write production code, but you’ll be a credible, peer-level partner to the people who do. You’ll challenge assumptions on ground truth, evaluation, and serving architecture, and you’ll tie every model to a business outcome.
This role reports to the VP, Data & Analytics.
Dig into modeling trade-offs, ground-truth definitions, training data quality, precision/recall, and feature strategy alongside Data Scientists and ML...
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