Lead Product Manager, Decisioning Platform

At Pay Pal, real-time decision-making powers customer protection and global commerce. Our Risk Decisioning Platform drives fraud, credit, and compliance decisions, processing massive signal volumes in milliseconds. We’re looking for a Lead Product Manager to own the strategy, roadmap, and execution for the platform’s data pillar. That covers how internal and external data reaches risk decisions: vendor and identity data integrations, upstream and downstream data flows, analytical data, and data governance.

You’ll work backwards from measurable outcomes, translating them into grounded specifications. You’ll collaborate with engineering, data science, risk strategy, and governance teams to build scalable solutions, track data health, and drive legacy migration. You’ll lead product reviews and steering committee updates as a SME. The ideal candidate brings a strong technical foundation in scaled data platforms & data engineering, with broad impact across fraud, credit, and compliance.

• Inputs to product strategy with cross-functional stakeholders consistent with the shared vision for the product or enabling platform.
• Implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
• Controls for the customer experience and customer needs in product requirements and as an input to decision making.
• Monitors metrics that inform the success of products including usability studies, research and market analysis.
• Manages one or more work streams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
• Monitors product profitability measures, including budget.
• Participates in operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews. Interfaces with product and technology leadership as needed.
• Partners with content developers, data scientists, product designers and user experience researchers.

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Experience building or managing data platform products in the decisioning, risk, or real-time scoring space, including data integration, pipelines, or analytical data layers.
• Experience integrating external data vendors (e.g., identity, bureau, alternative data) and managing upstream and downstream data flows across streaming and batch systems.
• Familiarity with data engineering best practices and data governance in regulated environments: data contracts, quality SLAs, lineage, access controls, and privacy.
• Strong data intuition: ability to define and interpret data health and usage metrics, run analyses, and translate findings into product decisions.
• Experience with agile delivery at scale, including legacy pipeline migration, cross-team dependency management, and milestone-driven roadmap execution.

Pay Pal

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The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

• Primary Location | Pay Range:
  San Jose, California: ($ - $ Annually)
• Additional Location(s) | Pay Range:
  Chicago, Illinois: ($ - $ Annually)
• Additional Location(s) | Pay Range:
  Austin, Texas: ($ - $ Annually)

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Pay Pal does not charge candidates any fees for courses, applications, resume…