Senior Manager, Data Platform & Autonomy Infrastructure

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 .

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

- 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

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.

The 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.