Manager Data Operations & Annotations, Autonomy Data

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

You will lead the team responsible for turning real-world data into high-quality, cost-effective datasets for Zipline’s machine learning and autonomy teams.

This role spans field operations, autonomy, ML, engineering, and data infrastructure. You will set the strategy for how data is collected, annotated, and validated, while building an operation that continuously improves its quality, coverage, speed, and economics.

You will also lead and develop the organization behind these systems, while partnering closely with technical teams to ensure data operations evolve with the needs of our autonomy stack.

• Lead the organization and end-to-end operations that collect, annotate, validate, and deliver high-quality real-world data at the scale, speed, and cost required for ML and autonomy development.

• Partner with ML and autonomy teams to translate model needs into data requirements, collection strategies, and operational priorities.

• Design and improve annotation, validation, and quality-control workflows, using tooling, automation, and metrics to optimize quality, coverage, speed, and cost.

• Develop managers and teams, establish clear ownership, and build a culture of accountability and continuous improvement.

• Lead cross-functional programs and drive decisions across operations, engineering, ML, and autonomy.

• Use operational data and feedback to identify bottlenecks and drive automation or engineering improvements that increase scale without proportional growth in manual effort or cost.

• Experience leading and scaling operational or technical teams, including developing