Staff Software Engineer, Payments Intelligence & ML

Stripe; New York (NY); Sur place; USD 224 000 - 407 000; Plein temps

Résumé du poste

Stripe is seeking a Staff Engineer for Payment Intelligence to drive end-to-end technical strategy across a broad product portfolio. You will work on large, distributed systems on the critical path, interacting with ML teams and models to deliver impactful payment-centric intelligence.

The role emphasizes high-impact collaboration with product, design, and merchants, across the stack, including FE, API, and ML components, while maintaining a scalable, quality-driven engineering culture.

Qualifications

• 10+ years of software engineering experience.
• 5+ years in strategic technical leadership.
• Experience leading engineering teams 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 contributing hands-on when needed.

Responsabilités

• Define technical strategy for multiple experiences across the Payment Intelligence portfolio, focusing on quality and performance.
• Champion a quality-first engineering culture with standards, tooling, and processes for scalable code.
• Partner with Stripe’s largest merchants to co-build the future of payment-centric intelligence.
• Collaborate with product, design, and ML teams to ship the very best software possible.
• Work across the stack, contributing to infrastructure, FE, API, and ML-adjacent work.

Connaissances

Software engineering

Technical leadership

Distributed systems

API design

Cross-functional collaboration

Communication

Outils

Java

Ruby

Python

TypeScript

Kafka

Flyte

Airflow

MongoDB

Description du poste

Stripe is seeking a Staff Engineer for Payment Intelligence to drive end-to-end technical strategy across a broad product portfolio. You will work on large, distributed systems on the critical path, interacting with ML teams and models to deliver impactful payment-centric intelligence.

The role emphasizes high-impact collaboration with product, design, and merchants, across the stack, including FE, API, and ML components, while maintaining a scalable, quality-driven engineering culture.