Staff Data Product Manager (Fully Remote)

NerdWallet; United States; Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Remote-first culture

Job summary

NerdWallet, Inc. is hiring a Staff Data Product Manager to own the ML product roadmap across NerdWallet. You will work with business verticals, Data Scientists, and Engineering teams.

You will partner deeply with Data Science and ML Engineering on modeling trade-offs and infrastructure decisions, own and prioritize the ML roadmap, driving models from idea to production.

Qualifications

• 7+ years in Data Product Management, Data Science, or a related technical field.
• Deep fluency in applied ML and experience with tools like Databricks, Snowflake, AWS.
• Strong communication and cross-functional leadership skills.

Responsibilities

• Partner deeply with Data Science and ML Engineering on modeling trade-offs and infrastructure decisions.
• Own and prioritize the ML roadmap, driving models from idea to production.
• Measure impact through experiments, A/B tests, and causal measurement.

Skills

Data product management

Data science

Applied ML

Cross-functional leadership

Databricks

Snowflake

AWS

Tools

Databricks

Snowflake

AWS

Job description

• We are hiring a Staff Data Product Manager to own the ML product roadmap across NerdWallet.
• You will work with business verticals, Data Scientists, and Engineering teams.
• This role reports to the VP, Data & Analytics.

Key Responsibilities:

• Partner deeply with Data Science and ML Engineering on modeling trade-offs and infrastructure decisions.
• Own and prioritize the ML roadmap, driving models from idea to production.
• Measure impact through experiments, A/B tests, and causal measurement.

Qualifications:

• 7+ years in Data Product Management, Data Science, or a related technical field.
• Deep fluency in applied ML and experience with tools like Databricks, Snowflake, AWS.
• Strong communication and cross-functional leadership skills.

NerdWallet is a financial clarity platform that leverages machine learning to personalize consumer experiences. They are a remote-first company with a culture focused on balance, wellness, and diversity.