Staff Full-Stack Engineer, Payments Intelligence & ML

EngineersOfAI; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking a Staff Engineer for Payment Intelligence to drive cross-functional work across product teams and ML partners. You will shape technical strategy, ensure quality and performance, and contribute across the stack—from infrastructure to front-end and ML-adjacent work.

Ideal candidates bring 10+ years in software engineering, 5+ years in leadership, and a track record of delivering pragmatic, scalable solutions in distributed systems and API design.

Qualifications

• 10+ years of software engineering experience, including 5+ years in a strategic technical leadership role.
• Experience leading engineering teams on distributed systems, API design, and user-facing products.
• Proven track record of delivering pragmatic solutions that accelerate business growth.

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 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

Distributed systems

API design

Leadership

Cross-functional collaboration

Communication

Tools

Java

Ruby

Python

TypeScript

Kafka

Flyte

Airflow

Mongo

Job description

Stripe is seeking a Staff Engineer for Payment Intelligence to drive cross-functional work across product teams and ML partners. You will shape technical strategy, ensure quality and performance, and contribute across the stack—from infrastructure to front-end and ML-adjacent work.

Ideal candidates bring 10+ years in software engineering, 5+ years in leadership, and a track record of delivering pragmatic, scalable solutions in distributed systems and API design.