Senior Product Manager, Risk & Decisioning Platform

BAM Ventures; San Jose (CA); Hybrid; USD 177,000 - 262,000; Full time

Job summary

PayPal is seeking a Lead Product Manager to direct risk-domain product strategy across a portfolio of risk strategies. You will set the domain vision and roadmap with risk leaders, turning outcomes like loss reduction and improved approvals into actionable plans.

Collaborating with data science, modeling, and engineering, you’ll move strategies off legacy systems and help launch new ones, optimizing with experiments.

Qualifications

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

Responsibilities

• 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 workstreams 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.

Education

Bachelor’s degree

Job description

PayPal is seeking a Lead Product Manager to direct risk-domain product strategy across a portfolio of risk strategies. You will set the domain vision and roadmap with risk leaders, turning outcomes like loss reduction and improved approvals into actionable plans.

Collaborating with data science, modeling, and engineering, you’ll move strategies off legacy systems and help launch new ones, optimizing with experiments.