Senior Manager, Data Platform & Autonomy Infrastructure in South San Francisco

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 postprocessing, 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.

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

What You'll DoSet Technical Direction

• 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

Enable Debugging, Learning, and Scale

• 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

Own Autonomy Data, Logging, and Sampling

• 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 ML Infrastructure Foundations

• Build and operate infrastructure that supports reproducible training and evaluation for autonomy ML workflows
• Enable scalable pipelines for dataset , 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 safety-critical, expensive, and operationally constrained
• Strong communication skills and sound technical judgment

The starting cash range for this role is $225,000 - $275,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers. Job DescriptionJob DescriptionAbout Zipline 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.