Staff Engineer — Payments & Applied Machine Learning

Worky; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Stripe seeks a Staff Engineer in Payment Intelligence to shape scalable AI-first insights across distributed systems, APIs, frontend, and ML interfaces. You will collaborate with ML teams and merchants to build the next generation of payment-centric intelligence and push for high-quality, robust software across the stack.

The role emphasizes pragmatic leadership and hands-on contribution in a fast-moving environment, guiding architectural decisions and ensuring reliable delivery at scale.

Qualifications

• 10+ years of software engineering experience.
• At least 5+ years in a strategic technical leadership role.
• Experience leading distributed systems, API design, and user-facing products.
• Proven track record delivering pragmatic solutions that accelerate business growth.
• Ability to drive projects at a high level while contributing hands-on when needed.
• Excellent cross-team communication and collaboration.

Responsibilities

• Define technical strategy for multiple experiences across the Payment Intelligence portfolio, focusing 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.

Skills

Software engineering leadership

Distributed systems

API design

Cross-functional collaboration

Communication

Tools

Java

Ruby

Python

TypeScript

Kafka

Flyte

Airflow

MongoDB

Job description

Stripe seeks a Staff Engineer in Payment Intelligence to shape scalable AI-first insights across distributed systems, APIs, frontend, and ML interfaces. You will collaborate with ML teams and merchants to build the next generation of payment-centric intelligence and push for high-quality, robust software across the stack.

The role emphasizes pragmatic leadership and hands-on contribution in a fast-moving environment, guiding architectural decisions and ensuring reliable delivery at scale.