Senior Manager, Data Platform & Autonomy Infrastructure

About Zipline

Zipline is the world’s largest and most experienced autonomous delivery service, founded to serve all humans equally by ensuring access to 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 including blood, vaccines, medical supplies, food, and commercial products.

Our customers include healthcare systems, governments, retailers, and global brands who rely on us to save lives, reduce emissions, increase economic opportunity, and provide new logistics services at scale.

Our technology goes beyond drones. We deploy integrated logistics infrastructure that strengthens supply chains, reduces congestion, and enables instant delivery, transforming how essential goods reach people everywhere. 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.

This role is in person and based in the San Francisco Bay Area.

Zipline is hiring a Senior Manager, Data Platform & Autonomy Infrastructure to lead the teams and systems that turn real-world flight data into learning and action.

This role owns the end-to-end data platform for autonomy and operations— from onboard logging and ingestion, to post-processing, sampling, and curated datasets used by autonomy, hardware, operations, and business teams. You will set technical direction, build and lead the organization, and ensure these systems operate reliably at >1 million flights per day with high uptime. This role is a strong fit for leaders who have built large-scale robotics or autonomy data systems in production environments.

• Define the long-term strategy and roadmap for Zipline’s data, autonomy, and ML-enabling infrastructure
• Establish architectural standards across logging, ingestion, processing, storage, access/visualization, and ML training and evaluation
• Balance reliability, performance, cost, and developer productivity across the platform
• Support a diverse set of internal customers, including hardware teams, autonomy/software teams, and analytics/business teams

• Support rapid root-cause analysis across autonomy, hardware, and operations
• Partner with autonomy and validation teams to close the loop between real-world data and development
• Design systems that scale beyond 1 million flights per day without linear growth in cost or operational complexity

• Set direction and accountability for onboard and offboard data logging systems
• Make principled decisions about what data to collect, retain, and prioritize under bandwidth, storage, and cost constraints
• Lead development of tooling to identify rare, novel, and safety-relevant scenarios from large-scale flight data
• Define sampling strategies that maximize signal for autonomy evaluation, simulation, and ML training

• Build and operate infrastructure that supports reproducible training and evaluation for autonomy ML workflows
• Enable scalable pipelines for dataset generation, experiment tracking, and offline evaluation
• Establish strong reliability, observability, and operational practices for ML data flows and evaluation runs

• 10+ years of experience building large-scale data, infrastructure, or autonomy-adjacent systems
• Experience leading senior engineers or multiple teams
• Strong background in robotics, autonomy, logistics, or other data-intensive physical systems
• Deep understanding of logging, ingestion, processing, and data platform architecture
• Experience working in environments where data is…