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.
Zipline’s Program Management team is responsible for ensuring that Zipline achieves our company goals on time and on budget. Our PMs are embedded across our 6 hardware teams and work directly with engineers of many disciplines to design, build, and test our drones and ground infrastructure. Program managers define their team’s priorities and drive execution of key milestones in a constantly changing environment.
What You'll Do
- Understand and mitigate technical and program risks to keep Zipline’s future programs on track. Drive decision making and trade off studies.
- Define program timelines, milestones and critical path.
- Manage and support cross-functional teams across electrical and mechanical engineering, design validation, and embedded software domains to build and execute a plan to develop new hardware
- Drive prototype and test activities to validate next generation hardware designs
- Report program updates to leadership
- Manage new infrastructure builds for our test campaigns and track hardware sample allocations
- Organize and facilitate meetings with cross-functional teams
- Work closely with cross-functional groups to track incoming parts and quality
- Manage upcoming hardware changes to meet company targets
- Must have at least completed the second year of your undergraduate studies or equivalent in Mechanical or Mechatronics Engineering. Masters and PhD students are also eligible.
- Strong technical background
- Excellent communication skills and the ability to explain challenges and solutions to fellow engineers and non-engineers alike.
- Enthusiasm for collaborating in a fast paced and highly cross-functional environment
- Ability to pick up technical concepts rapidly
- Ability to drive clarity amidst chaos and ambiguity
- Extreme ownership and a bias for action
- Must be eligible to work in the US
- Demonstrated skill in aligning priorities, coordinating timelines, and leading complex scope, resource, and schedule trades
- Must be able to work in person at Zipline’s South San Francisco office 5 days a week
Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Spring 2027 interns from January to April/May.
The hourly rate for this internship is $40 per hour. Additional benefits may include relocation support, a housing stipend, overtime pay, paid sick time, and other benefits, where applicable and subject to local requirements.
Candidates are limited to three (3) applications within a 30-day period.
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!
Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.
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.
Zipline South San Francisco, California, USA Office
South San Francisco, CA, United States
Zipline Half Moon Bay, California, USA Office
Half Moon Bay, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
