At a glance
- Location
- London · Ireland Locations
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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing some of the most important work of your career. You can read more about the business we’re building and what we’re looking forward to in our annual letter.
About the role
- As a Senior Staff Product Manager for Risk at Stripe, you will lead cross-Risk and cross-Stripe initiatives that fundamentally change how Stripe and users manage financial risk.
- You will operate as a product counterpart to Risk's senior technical leaders, shaping infrastructure and product direction across the organization.
- You will partner closely with Risk leadership to shape strategy, vision, and key investments while coaching other PMs.
Responsibilities
- Identify high-leverage problems that cut across 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 accurately identify and mitigate risk at scale.
- Partner deeply with engineering, data science, and ML leaders to shape architecture, data foundations, models, APIs, and product experiences.
- Help product teams across Stripe build on Risk's 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 the organization's most important bets, and make clear investment and sequencing decisions.
- Build alignment among teams with different goals and constraints, resolving difficult tradeoffs and driving progress without relying on formal authority.
- Coach and mentor PMs across Risk, helping them strengthen their product judgment, technical depth, strategic thinking, and execution.
- Advance the product management discipline across Stripe by raising the bar for how we define problems, develop strategy, partner with technical teams, and deliver complex cross-organizational work.
Requirements
- A track record of identifying and delivering high-impact, transformational product or technical initiatives that span multiple teams and organizations.
- Demonstrated 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 deeply with senior engineering, data science, and product leaders to shape both technical direction and product strategy.
- Strong product judgment across foundational infrastructure and user-facing experiences, with a focus on building capabilities that solve real user problems.
- Deep quantitative fluency and the ability to use data and causal reasoning to understand problems, evaluate tradeoffs, and measure outcomes.
- Proven ability to influence senior leaders, build alignment across organizational boundaries, and drive execution without direct management authority.
- Experience mentoring and developing PMs and raising the quality of product thinking and execution across teams.
- Exceptional written and verbal communication, with the ability to articulate compelling strategies, influence technical and executive audiences, and make complex topics clear.
- High agency, intellectual honesty, curiosity, and a low-ego, hands-on working style.
Preferred qualifications
- An engineering and preferably ML-based technical background.
- 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
Skills
- AI
- Machine Learning
- APIs
- Data Science
- System Architecture
