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South San Francisco, California, United States
Hybrid
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.
The P2 Analytics Platform team's mission is to supercharge every function at Zipline with the data they need to optimize every day. We design and build Zipline's central data platform to provide mission-critical insights for Zipline's wide variety of business units, from manufacturing and inventory, to flight scheduling and dispatch, to customer delivery, and more.
As a Senior Analytics Engineer, you are the owner of analytics infrastructure and datasets that directly inform operational decisions across the company, ensuring planes launch on time, inventory is accurate, and exception workflows keep customers and regulators satisfied. This role sits at the intersection of analytics, software engineering, and operations: you will ship production-grade data models and pipelines that must meet strict accuracy, latency, and auditability requirements for live logistics and regulated aviation workflows.
Location: Bay Area, CA (on-site 3+ days/week) preferred, with occasional travel to hubs and manufacturing sites required (~10% annually). You will report to the Analytics Engineering Lead and be the DRI for at least one cross-functional analytics product (e.g., delivery performance metrics, factory yield datasets, or safety event lineage).
Success in the first 6 months will look like: production delivery of at least one mission-level dataset with end-to-end lineage and data-quality checks; establishment of SLA targets and monitoring dashboards, and measurable reduction in a manual reconciliation or troubleshooting pain point owned by ops.
The starting cash range for this role is $155,000 - $210,000. 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; overtime pay; 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, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.
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!
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Zipline ’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.