Job opportunity
Staff Machine Learning Product Manager
NerdWallet, Inc
Lead NerdWallet’s machine learning roadmap remotely across Canada, excluding Quebec, using product strategy and applied ML fluency. Turn predictive models into measurable business outcomes.
As a Staff Data Product Manager reporting to the VP, Data & Analytics, you will guide ML products from ideas through production and adoption. Partner with Data Scientists, ML Engineers, Data Engineering, Product Engineering, and business teams. Focus areas include customer lifetime value, lead scoring, personalized recommendations, model evaluation, and serving architecture.
Key Responsibilities:
Own and prioritize the cross-vertical machine learning roadmap
Translate business problems into model objectives and requirements
Navigate ground truth, precision/recall, features, and serving trade-offs
Drive predictions into experiences, systems, and workflows
Measure performance, adoption, reliability, and business impact
Requirements:
Seven-plus years in data product management, data science, or ML
Track record shipping production machine learning or data products
Fluency in evaluation, training data, loss functions, and overfitting
Understanding of model serving, pipelines, inference, latency, and deployment
Experience with Databricks, Snowflake, AWS, or similar tools
Bring technical product leadership, cross-functional influence, and applied machine learning expertise to NerdWallet’s remote Canadian team.
#J-18808-Ljbffr
Apply on source site As a Staff Data Product Manager reporting to the VP, Data & Analytics, you will guide ML products from ideas through production and adoption. Partner with Data Scientists, ML Engineers, Data Engineering, Product Engineering, and business teams. Focus areas include customer lifetime value, lead scoring, personalized recommendations, model evaluation, and serving architecture.
Key Responsibilities:
Own and prioritize the cross-vertical machine learning roadmap
Translate business problems into model objectives and requirements
Navigate ground truth, precision/recall, features, and serving trade-offs
Drive predictions into experiences, systems, and workflows
Measure performance, adoption, reliability, and business impact
Requirements:
Seven-plus years in data product management, data science, or ML
Track record shipping production machine learning or data products
Fluency in evaluation, training data, loss functions, and overfitting
Understanding of model serving, pipelines, inference, latency, and deployment
Experience with Databricks, Snowflake, AWS, or similar tools
Bring technical product leadership, cross-functional influence, and applied machine learning expertise to NerdWallet’s remote Canadian team.
#J-18808-Ljbffr