Staff Software Engineer, Payments and Applied Machine Learning

Who we areAbout StripeStripe 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 teamPayment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse (Radar), payment optimizations (AuthBoost), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem.We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs.What you'll doAs a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models. ResponsibilitiesDefine technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performanceChampion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scalePartner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligencePartner cross-functionally with product, design, and ML colleagues to ship the very best software possibleWork across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work.Minimum requirements10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership roleExperience leading engineering team(s) working on Distributed systems, API design, and user facing productsProven track record of delivering pragmatic solutions that accelerate business growthAbility to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessaryEffective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally.Preferred qualificationsExperience with payments systems and/or fraud detectionFamiliarity with ML systems in production: model serving, training pipelines, observability, and evaluationPrior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorlyExperience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo.Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge