224K–407K USD / year

Staff Software Engineer, Payments Intelligence

BackendHybrid — New York, Seattle, South San Francisco, United States
Published on 2026-10-22
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Set technical direction across Stripe’s Payment Intelligence products, spanning fraud prevention, payment optimization, disputes, authentication, and merchant analytics. Build and improve high-scale, distributed systems on the payments critical path while partnering with merchants and product, design, and ML teams.

About the company

Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.

The team

Payment Intelligence, within Payments

Stack

JavaRubyPythonTypeScriptKafkaFlyteAirflowMongoDB

What you'll do

  • Define technical strategy across multiple Payment Intelligence products, focusing on quality and performance
  • Establish engineering standards, tooling, and processes to support high-quality software at scale
  • Partner with large merchants to develop payment intelligence products
  • Collaborate with product, design, and ML colleagues
  • Contribute across infrastructure, foundational systems, frontend, APIs, and ML-adjacent work

What we're looking for

  • 10+ years of software engineering experience, including 5+ years in strategic technical leadership
  • Experience leading teams working on distributed systems, API design, and user-facing products
  • Track record of delivering pragmatic solutions that drive business growth
  • Able to lead projects strategically and contribute hands-on
  • Strong communication and cross-team collaboration skills

Nice to have

  • Payments or fraud-detection experience
  • Production ML systems experience, including serving, training pipelines, observability, or evaluation
  • Experience building a product from concept to production
  • Experience with the listed languages, frameworks, and data tools
  • Comfort making and revising technical decisions in ambiguous, fast-moving environments

Benefits

  • Equity
  • 401(k) plan
  • Medical, dental, and vision benefits
  • Wellness stipends
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