Staff Software Engineer, Payments and Applied Machine Learning

JobCubby; San Francisco, Northern (CA, KY); Hybrid; USD 240,000 - 320,000; Full time

Job summary

Stripe is seeking a Staff Engineer for Payment Intelligence in San Francisco. You will drive technical strategy across multiple experiences, focusing on quality, performance, and scale.

The role involves partnering with Stripe's largest merchants to co-create payment-centric intelligence and working across UI, API and ML domains to deliver impactful solutions. You will lead and mentor engineering teams, shape architecture on distributed systems, and communicate effectively across product,

Qualifications

• 10+ years of software engineering experience with leadership roles.
• Experience leading engineering teams on distributed systems and API design.
• Proven track record delivering pragmatic solutions enabling business growth.
• Ability to drive projects at a high level while contributing hands-on when needed.
• Effective cross-team communication across product, design and ML.

Responsibilities

• Define technical strategy for multiple experiences in the Payment Intelligence portfolio.
• Establish quality standards, tooling, and processes to ship high-quality code at scale.
• Partner with merchants to co-build the future of payment-centric intelligence.
• Collaborate cross-functionally with product, design and ML teams to ship the best software.
• Contribute across the stack including infrastructure, FE, API and ML-adjacent work.

Skills

Leadership

Cross-functional collaboration

Communication

Strategic technical leadership

Problem solving

Tools

Java

Ruby

Python

TypeScript

Kafka

Flyte

Airflow

MongoDB

Job description

Who we are

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 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 team

Payment 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 do

As 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.

Responsibilities

• Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance
• Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale
• Partner with some of Stripe's largest merchants to co-build the future of payment-centric intelligence
• Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible
• Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role
• Experience leading engineering team(s) working on Distributed systems, API design, and user facing products
• Proven track record of delivering pragmatic solutions that accelerate business growth
• Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary
• Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally.

Preferred qualifications

• Experience with payments systems and/or fraud detection
• Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation
• Prior 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 poorly
• Experience 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