Staff Software Engineer, Product Risk

EngineersOfAI; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

Stripe is seeking a Staff-level data engineering leader to drive high-impact data pipelines and ML-enabled data initiatives. You will mentor engineers, shape data architectures, and partner with product teams to deliver scalable, trustworthy data foundations.

In this role, you will collaborate across Stripe's platforms to ensure reliable, explainable data flows and architectures that support payments, risk, and product analytics at scale. Toronto-based options may apply.

Qualifications

• Staff-level role with 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions.
• Strong engineering background and passion for data, with experience writing and debugging data pipelines using a distributed data framework.
• Inquisitive by nature, able to identify data inconsistencies and resolve deep rooted data quality issues.
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience.
• Extreme customer focus, with ability to partner with product, leaders across the business, and other engineers.

Responsibilities

• Lead the technical outcomes for a team of engineers, providing mentorship and support.
• Partner with recruiting to attract and hire top talent.
• Deliver cutting-edge data pipelines that scale to users' needs with reliability and efficiency.
• Develop subject matter expertise and manage SLAs of data pipelines and full-stack applications.
• Collaborate with product managers to create canonical datasets and ensure trustworthy data.
• Leverage AI/LLM and agents at scale to produce high-quality data.
• Drive execution of key data initiatives from planning to delivery with high quality.
• Foster a collaborative and inclusive team environment.

Skills

Airflow

Spark

Kafka

Flink

Scala/Java/Go

SQL

Data pipelines

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

Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product — we enable Stripe to confidently run, measure, and grow the business by making accurate information easy to access. We curate and maintain high-quality data warehouses and pipelines that serve as the authoritative foundation for product and financial activity across Stripe, powering analytics, ML capabilities, agentic workflows, and merchant-facing data interfaces. Beyond building data, we act as the internal experts in data technologies and partner with Data Platform to deliver high-quality, low-friction data processing frameworks. We also serve as the bridge between data producers and data consumers — championing best-in-class data engineering practices and guiding product teams on event-driven data API modeling — so that every team at Stripe can build, decide, and grow from a trusted, well-engineered data foundation.

What you’ll do

We're looking for a person who could contribute to the team by solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.

Responsibilities

• Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success
• Partner with our recruiting team to attract and hire top talent
• Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency
• Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders
• Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data
• Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems
• Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role.

Minimum requirements

• This is a Staff-level role — that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions
• A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs
• Thrive with high autonom