Staff Engineer, Payments Intelligence (AI/ML & Distributed Systems)

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

Job summary

Stripe, Inc. is seeking a Staff Engineer for the Payment Intelligence team. You will influence technical strategy across multiple experiences, emphasizing quality and performance on large distributed systems that touch millions of Stripe transactions.

You will partner with ML, product, and design teams to ship robust software, work across the stack including infrastructure, frontend, API design, and machine-learning adjacent areas, and mentor engineers while delivering value to merchants.

Qualifications

• 10+ years in software engineering with leadership exposure.
• Experience leading teams on distributed systems and API design.
• Proven track record delivering pragmatic solutions that drive growth.
• Ability to balance high-level planning with hands-on contribution.
• Strong cross-team communication and collaboration.

Responsibilities

• Define technical strategy across the Payment Intelligence portfolio focusing on quality and performance.
• Establish standards, tooling, and processes to ship high-quality code at scale.
• Partner with merchants and cross-functional teams to build payment-centric intelligence.
• Collaborate with product, design, and ML colleagues to deliver robust software.
• Contribute across the stack including infra, FE, API, and ML-adjacent work.

Skills

Software engineering

Technical leadership

Distributed systems

API design

Cross-functional collaboration

Tools

Java

Ruby

Python

TypeScript

Kafka

Flyte

Airflow

MongoDB

Job description

Stripe, Inc. is seeking a Staff Engineer for the Payment Intelligence team. You will influence technical strategy across multiple experiences, emphasizing quality and performance on large distributed systems that touch millions of Stripe transactions.

You will partner with ML, product, and design teams to ship robust software, work across the stack including infrastructure, frontend, API design, and machine-learning adjacent areas, and mentor engineers while delivering value to merchants.