About the position
As a Technical Leader at Stripe, you'll be responsible for driving forward progress across multiple organizations for Stripe's most critical initiatives. Your work will have a direct correlation between Stripe's (and our user's) bottom line. The Data Platform delivers data infrastructure and tools that power Stripe products and enable internal employees to make informed decisions and build data-centric products. We keep security, performance, and reliability as top priorities, so we can create clean interfaces on our platform to enable Stripe engineers to focus on building great products for our users. We operate at large scale on servers across the world and on hundreds of petabytes of data. The Data Platform includes a wide range of well-known open source technologies, including Spark, Hadoop, Airflow, Presto/Trino, Iceberg, Kafka, Pinot, Flink, and Elasticsearch, as well as a number of vendor-provided and internally-developed technologies.
Responsibilities
- Define and own the technical roadmaps for large cross-cutting efforts that span the Data Platform, with Stripe-wide impact
- Own and drive cross functional partnerships with organizations spanning Infrastructure, Data Engineering, Data Science, ML Engineering, Product Engineering, Finance, Risk, Operations, and GTM teams, and partner closely with the leadership/stakeholders of various teams within those organizations
- Establish project owners and contribute to prioritization and execution with the appropriate amount of urgency
- Present clear, thoughtful, and opinionated analysis to senior leaders, enabling them to make tough and thoughtful decisions with clear tradeoffs
- Have excellent judgment and operate with minimal oversight
- Make impactful, hands-on contributions throughout the project lifecycle, from scoping to design, coding, and operations
- Mentor and sponsor experienced managers and/or very experienced engineers, assist with team growth and development, and set the culture bar for excellence and technical curiosity
Requirements
- Minimum of 15+ years of engineering experience OR equivalent combined work experience reflecting domain expertise as relevant to this position
- Demonstrated experience of leading company-wide initiatives spanning hundreds of engineers across multiple teams and organizations while leveraging deep domain expertise to influence technical roadmaps, planning, and execution
- Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
- Demonstrated ability to balance execution and velocity with security, reliability, and efficiency
- Experience, mentoring, and investing in the development engineers and peers
- Demonstrated adaptability and resilience in the face of novel technical and organizational challenges
Nice-to-haves
- Expertise with tackling complex, distributed systems/infrastructure challenges at scale
- Relevant domain experience with Data Platforms, Machine Learning, and AI
- Practical experience architecting and operating modern Data and AI/ML infrastructure
- User-centric orientation and track record for productizing complex infrastructure
- Enjoy staying close to the code and technical details
Benefits
- Equity
- Company bonus or sales commissions/bonuses
- 401(k) plan
- Medical, dental, and vision benefits
- Wellness stipends
