Principal Data Product Manager – ML & GenAI

Figure; San Francisco (CA); On-site; USD 154,000 - 231,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and)

401(k) and commuter benefits

Paid family leave

Job summary

Figure is seeking a Principal Product Manager, Data to lead a portfolio spanning ML/GenAI models, data pipelines, and risk-focused data products. You will partner with Data leadership and cross-functional teams to move from concept to production, delivering measurable business outcomes across valuation, underwriting, document review, and risk decisions.

You will own the roadmap, coordinate with Data Science, Risk Analytics, MLOps, and Engineering, and craft compelling business cases with clear

Qualifications

• Experience building data or ML/GenAI products that drive measurable business outcomes.
• Ability to partner with Data leadership and cross-functional teams to move from concept to production.
• Strong business-case skills: sizing, ROI, and sign-offs from Finance.

Responsibilities

• Drive ML/AI data products across valuation, underwriting, and risk domains.
• Lead cross-functional roadmap alignment and track quarterly OKRs with ownership.
• Write business cases and secure Finance sign-off before work starts.
• Engineer prototypes and pilot programs using AI tools and data platforms.
• Mentor PMs on governance, experimentation, and GenAI practices.
• Ensure data products deliver measurable cost/time savings and business impact.

Skills

Data product management

Cross-team collaboration

Strategic thinking

SQL

Education

Bachelor’s degree in CS/Engineering/Data Science/Finance

Tools

SQL

Cloud data warehouses

APIs

Low-code tools (Retool, Zapier)

Job description

Figure is seeking a Principal Product Manager, Data to lead a portfolio spanning ML/GenAI models, data pipelines, and risk-focused data products. You will partner with Data leadership and cross-functional teams to move from concept to production, delivering measurable business outcomes across valuation, underwriting, document review, and risk decisions.

You will own the roadmap, coordinate with Data Science, Risk Analytics, MLOps, and Engineering, and craft compelling business cases with clear