Senior Staff Product Manager, Financial Risk

Details

Who We Are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and create new business models. Stripe’s mission is to increase the GDP of the internet.

About the Team

The Risk team builds trust by enabling businesses to access and use Stripe’s financial infrastructure while protecting users, financial partners, and the broader ecosystem from harm.

The team helps legitimate businesses access Stripe’s financial services, provides credit to creditworthy businesses, helps users manage their own risk, prevents fraud and financial crime, manages Stripe’s credit exposure, meets regulatory and financial partner obligations, and enables product teams to launch and grow products safely. The team develops policies, standards, advanced AI, infrastructure, and product experiences to manage risk across Stripe and its users.

Responsibilities

• Identify high-leverage problems spanning teams, turn ambiguity into clear product and technical direction, and establish measurable outcomes.
• Lead major cross-Risk and cross-Stripe initiatives from initial shaping through delivery, adoption, and iteration.
• Lead changes to Risk’s approach to leveraging data and AI to identify and mitigate risk accurately at scale.
• Partner with engineering, data science, and machine learning leaders to shape architecture, data foundations, models, APIs, and product experiences.
• Help Stripe product teams build on Risk capabilities quickly and effectively while guiding Risk teams toward coherent, reusable infrastructure and product decisions.
• Partner with Risk leadership to define multi-year strategy, identify important investments, and make investment and sequencing decisions.
• Build alignment among teams with different goals and constraints, resolve difficult tradeoffs, and drive progress without relying on formal authority.
• Coach and mentor product managers across Risk, strengthening their product judgment, technical depth, strategic thinking, and execution.
• Advance product management practices across Stripe by improving how teams define problems, develop strategy, partner with technical teams, and deliver complex cross-organizational work.

Requirements

• Track record of identifying and delivering high-impact, transformational product or technical initiatives spanning multiple teams and organizations.
• Ability to bring clarity to deeply ambiguous problems, set a compelling direction, and drive work through execution and adoption.
• Strong technical judgment across data, machine learning, AI, APIs, platforms, and system architecture.
• Experience partnering with senior engineering, data science, and product leaders to shape technical direction and product strategy.
• Strong product judgment across foundational infrastructure and user-facing experiences, with a focus on solving real user problems.
• Deep quantitative fluency and ability to use data and causal reasoning to understand problems, evaluate tradeoffs, and measure outcomes.
• Ability to influence senior leaders, build alignment across organizational boundaries, and drive execution without direct management authority.
• Experience mentoring and developing product managers and raising the quality of product thinking and execution across teams.
• Exceptional written and verbal communication skills, including the ability to articulate strategies, influence technical and executive audiences, and explain complex topics clearly.
• High agency, intellectual honesty, curiosity, and a low-ego, hands-on working style.

Preferred Qualifications

• Engineering background, preferably with machine learning experience.
• Experience applying AI and machine learning to complex, high-stakes problems at scale.
• Experience with fraud, credit, payments, financial services, trust and safety, or another domain involving complex decisions and asymmetric consequences.
• Experience working with globally distributed teams.