You’ll own problems from investigation through launch, partnering with product managers, designers, and data scientists. You’ll have opportunities to scale systems that make real-time decisions across Stripe’s global payments network, bring advances in ML and AI into production, and build new products from scratch. Every improvement can have a direct impact on the revenue our users retain and the legitimate customers they serve.
Responsibilities
Build and operate reliable, low-latency services that detect and prevent fraud and abuse at scale
Design APIs and dashboard experiences that help businesses investigate threats, configure defenses, and understand how Radar protects them
Develop the shared platform and infrastructure that enable teams to build and launch new Radar capabilities
Work directly with users to understand emerging threats and turn those insights into broadly useful products
Partner with ML engineers and data scientists to bring new signals, models, and AI capabilities into production
Own projects end to end, from technical design and implementation through rollout, measurement, and iteration
Uphold a high bar for engineering quality, reliability, and product craft while moving quickly as threats evolve
Who you are
We’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
10+ years of backend and/or full-stack software development experience, with a track record of owning large, ambiguous systems end-to-end.
Strong coding skills in any programming language, with experience building and maintaining production software
Demonstrated technical experience leading the design and delivery of large, complex software projects from early definition through production launch.
Experience leading and unblocking a group of engineers on a substantial project as a senior individual contributor.
Significant hands-on coding as a senior IC leader in the last year.
Ability to work across systems and technologies, learn unfamiliar codebases, and make thoughtful technical trade-offs
Ability to operate effectively in high-ambiguity environments: framing problems, making durable technical decisions, and creating an actionable path forward.
Excellent cross-functional and cross-organizational collaboration skills, with the ability to align teams with different systems, priorities, and constraints.
Understanding of basic data science concepts, like linear models, precision, recall, and more
Experience building consumer products at scale, particularly products that require a high degree of user trust.
Experience working closely with fast customers, including leading upsell calls
Preferred qualifications
Track record of working closely with data science and ML teams to ship products to users
Experience working on 0→1 products or taking new capabilities from concept through launch and iteration.
Experience with Java, Ruby, and/or TypeScript. We care more about strong engineering fundamentals and the ability to learn than expertise in a particular language or framework.
Experience building payments, money-movement, fintech, or other regulated financial products.
Experience building consumer products at scale, particularly products that require a high degree of user trust.
Familiarity with stablecoins, digital assets, or the infrastructure that enables global financial products.
