Engineering Manager, Data Infrastructure
Stripe
Job Overview
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Job Description
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
The group is responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. We process hundreds of thousands of search and analytics shaped queries on petabytes of data ingested through real-time streaming and large batch ingestion pipelines. We are the data serving layer for one of the largest financial data lakes in the world.
We are looking for an Engineering Manager, Data Infrastructure who is excited about Data Serving architecture and leading a team to solve challenging distributed systems problems, as well as developing empathetic partnerships with other Stripe teams to understand their use-cases and unlock new capabilities.
What you’ll do
- Work on a high-visibility team and be part of shaping Stripe’s long term Data Serving strategy.
- Work with engineers and other leaders at Stripe to understand opportunities to better leverage Apache Pinot at scale.
- Support the engineering team in achieving a high level of technical quality, reliability, and ease-of-use.
- Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
- Recruit great engineers, in collaboration with Stripe’s recruiting team.
- Develop engineers on the team, helping them advance in their careers.
- Contribute to engineering-wide initiatives as a member of Stripe’s engineering management team.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.
Minimum Requirements
- At least 3 years of experience managing teams that shipped and operated critical distributed system infrastructure.
- Successfully recruited and built great teams.
- Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs.
- Thrives with a high degree of autonomy and responsibility in an ambiguous environment.
- Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions.
- Encourage a healthy and inclusive work environment that’s both challenging and supportive.
Preferred Qualifications
- Experience working with Data Serving technology like Apache Pinot, Apache Trino, ElasticSearch and streaming platforms such as Apache Kafka or Amazon Kinesis.
- Strong written and verbal communication skills for different audiences (leadership, users, company-wide).
- Strong quantitative and analytical background.
- Productively lead fully remote teams.
Key skills/competency
- Distributed Systems
- Data Infrastructure
- Apache Pinot
- Technical Leadership
- Team Management
- Recruiting
- Cross-functional Collaboration
- Stripe Data Serving
- Scalability
- Financial Data Lakes
How to Get Hired at Stripe
- Research Stripe's mission: Study their mission to "increase the GDP of the internet" and their financial infrastructure platform, understanding its impact.
- Highlight distributed systems expertise: Showcase your proven track record in managing teams that have shipped and operated critical, large-scale distributed data infrastructure.
- Emphasize leadership and people skills: Demonstrate successful team building, recruiting, engineer development, and effective cross-functional communication and decision-making.
- Showcase data serving technology knowledge: Detail your experience with technologies like Apache Pinot, Apache Trino, Elasticsearch, Apache Kafka, or Amazon Kinesis.
- Prepare for architectural discussions: Be ready to discuss complex data serving architectures, technical trade-offs, and strategic decisions with a rigorous, articulate approach.
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