Senior Manager, Data Platform & Autonomy Infrastructure

About ZiplineZipline 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.About the RoleZipline 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 DirectionDefine the long-term strategy and roadmap for Zipline’s data, autonomy, and ML-enabling infrastructureEstablish architectural standards across logging, ingestion, processing, storage, access/visualization, and ML training and evaluationBalance reliability, performance, cost, and developer productivity across the platformSupport a diverse set of internal customers, including hardware teams, autonomy/software teams, and analytics/business teamsEnable Debugging, Learning, and ScaleSupport rapid root-cause analysis across autonomy, hardware, and operationsPartner with autonomy and validation teams to close the loop between real-world data and developmentDesign systems that scale beyond 1 million flights per day without linear growth in cost or operational complexityOwn Autonomy Data, Logging, and SamplingSet direction and accountability for onboard and offboard data logging systemsMake principled decisions about what data to collect, retain, and prioritize under bandwidth, storage, and cost constraintsLead development of tooling to identify rare, novel, and safety-relevant scenarios from large-scale flight dataDefine sampling strategies that maximize signal for autonomy evaluation, simulation, and ML trainingBuild ML Infrastructure FoundationsBuild and operate infrastructure that supports reproducible training and evaluation for autonomy ML workflowsEnable scalable pipelines for dataset generation, experiment tracking, and offline evaluationEstablish strong reliability, observability, and operational practices for ML data flows and evaluation runsWhat You’ll Bring10+ years of experience building large-scale data, infrastructure, or autonomy-adjacent systemsExperience leading senior engineers or multiple teamsStrong background in robotics, autonomy, logistics, or other data-intensive physical systemsDeep understanding of logging, ingestion, processing, and data platform architectureExperience working in environments where data is safety-critical, expensive, and operationally constrainedStrong communication skills and sound technical judgmentWhy This Role MattersThis role owns how Zipline learns from the real world.The Senior Manager, Data Platform & Autonomy Infrastructure builds the systems that turn millions of flights into faster autonomy improvement, safer operations, and a scalable, profitable business.If you want to work on data systems at the intersection of robotics, autonomy, and real-world impact—this is a rare opportunity.What Else You Need to KnowThe starting cash range for this role is $250,000 - $300,000. 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.Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!