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 accelerate new business opportunities. 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 the most important work of your career.
About the teamStripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that trust.
The Fraud Decisions team builds decision systems to reduce fraud while retaining a best-in-class user experience. Our work directly impacts Stripe's bottom line, and we help build a safer financial backbone for the internet.
What you’ll do:Here are some of the problems you will be tackling:
Design a scalable fraud decision platform with centralized backtesting, observability, experimentation, and exemption management. Create smarter decision frameworks that, in addition to fraud predictions, account for future revenues and losses in every fraud decision. Build a dynamic risk management layer that automatically adjusts risk parameters for cohorts of merchants in response to evolving threats and attacks - without human involvement. You will have an outsized impact on the direction, design & implementation of the solutions to these problems. Responsibilities: Setting the technical direction and roadmap for the team to achieve business goals. Building systems that evaluate businesses for various types of fraud, and take appropriate actions. Proposing new decision policies and actions that directly reduce Stripe’s fraud losses. Debugging production issues across services and multiple levels of the stack. Helping engineers across the company to develop technologies for scaling our infrastructure. Who you areWe’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements At least 8 years of experience designing, building, and maintaining distributed systems Experience driving large projects across multiple teams to achieve critical business goals Strong knowledge of cloud platforms, micro-services, and event-driven architecture Proven track record of building scalable, high-availability systems Excellent problem-solving skills and the ability to think strategically about risk Experience mentoring senior engineers Thrive in a collaborative environment Preferred qualifications Previous tech lead for a team, org, or large effort Experience collaborating with ML teams Experience with Java or Ruby Experience with Spark