Engineering Manager, Data Orchestration Platform

<h1><strong>Who We Are</strong></h1>
<p><strong>About Stripe</strong> <br>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.</p>
<p><strong>About the Team </strong></p>
<p>The Data Orchestration team ensures that Stripe's engineers have the most productive experience developing and operating secure, reliable, and efficient data pipelines across all execution environments. The team owns Airflow — Stripe's data workflow scheduling platform — end to end: the infrastructure, developer experience, deployment systems, and migration roadmap. Airflow is one of the most broadly depended-on internal platforms at the company.</p>
<p> </p>
<p><strong>What Makes This Role Compelling</strong></p>
<ul>
<li>Broad platform impact: Airflow sits in the critical path of data work across nearly every engineering team at Stripe — decisions here affect hundreds of engineers and thousands of production workflows daily.</li>
<li>Active modernization: The team is in the middle of a significant multi-year architectural transition, offering real technical leadership opportunities across migration strategy, developer experience, and systems design.</li>
<li>Concrete scope: Projects have well-defined metrics and reliability targets — you'll manage a team with clear engineering goals and measurable outcomes.</li>
<li>Cross-team influence: Data Orchestration partners closely with other infrastructure and product engineering teams, giving the EM a broad surface for organizational influence and alignment.</li>
</ul>
<p> </p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Own the Platform Roadmap: Define the multi-year direction for Airflow at Stripe — synthesizing the needs of a large and diverse set of consuming teams, resolving cross-team dependencies, and driving adoption of the next-generation platform across the organization.</li>
<li>Lead and Scale: Build, mentor, and grow a high-performing team, investing in career development and fostering a culture of operational excellence.</li>
<li>Ensure Operational Rigor: Maintain unwavering reliability for a Tier-0 platform that a significant portion of Stripe's daily data workloads depend on.</li>
<li>Technical Stewardship: Guide the team through high-stakes architectural decisions in workflow scheduling, containerized job execution, DAG lifecycle management, and large-scale platform migrations — setting the technical bar for reliability, developer experience, and systems design.</li>
</ul>
<h1><strong>Who You Are</strong></h1>
<p><strong>Minimum requirements</strong></p>
<ul>
<li>10+ years of professional software development and engineering experience.</li>
<li>5+ years of direct engineering management experience, successfully building and operating high-velocity technical teams.</li>
<li>Proven track record of driving significant infrastructure efficiency, managing capacity planning, and making data-driven cost-performance trade-offs.</li>
<li>Experience working effectively in highly cross-functional, global organizations.</li>
</ul>
<p><strong>Preferred requirements</strong></p>
<ul>
<li>Experience managing remote or geographically distributed engineering teams.</li>
<li>Technical background in building, scaling, and operating large-scale workflow orchestration infrastructure, with deep expertise in Airflow. Familiarity with the broader data ecosystem Airflow integrates with (Spark, Kafka, AWS S3).</li>
<li>Demonstrated ability to navigate strategic ambiguity and deliver complex, multi-quarter infrastructural projects from inception to completion.</li>
<li>Deep empathy for internal data users with a passion for building robust developer tooling and abstractions.</li>
</ul>