Supply Chain Business Operations Manager, AI Strategy

About 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.

You will be the owner of AI strategy and execution for Zipline’s Supply Chain Business Operations function. In this role, you will translate urgent operational pain points across supplier management, material planning, inventory health, sourcing, and manufacturing readiness into production-grade AI-assisted workflows that materially increase aircraft availability, reduce production delays, and lower supplier-caused quality incidents. This work matters because Zipline’s delivery network and flight operations depend on predictable supply of airframe, avionics, and mission‑critical parts across multiple manufacturing sites and global suppliers.

You will report to Supply Chain leadership while operating at the intersection of field operations, manufacturing, supplier industrialization, data engineering, and product engineering to drive measurable, auditable improvements in a regulated, safety-conscious hardware environment.

Location: in‑person at HQ, South San Francisco; travel 5–15% for supplier and cross‑site engagements (Asia, North America, others as needed).

• Own the end‑to‑end mandate for AI‑enabled supply chain products: identify opportunities, build prototypes, validate with frontline teams, and deliver production rollouts with documented KPIs and runbooks.
• In the first 90 days, deliver a validated, automated web app concurrently with a supporting business process and monitoring strategy that measurably improves a core supply chain metric: on‑time delivery, quality, or cost.; by 12 months, scale at least one AI product into production which reliably automates a planning and or sourcing workflow.
• Design and deploy AI‑assisted workflows, copilots, agents, automations, and decision‑support tools that reduce manual work, improve decision quality, and make supply chain teams faster and more effective.
• Partner with Supply Chain, Engineering, Data, IT, Finance, Manufacturing Operations, and external vendors to translate operational pain points into AI‑enabled product requirements, prototypes, adoption plans, and measurable business outcomes.
• Build the data foundations, process maps, and feedback loops needed for reliable AI workflows, including data quality checks, source‑of‑truth alignment, human‑in‑the‑loop review, and clear ownership models.
• Use SQL, Python, BI tools, and AI/LLM platforms to prototype and operationalize tools that synthesize supplier, ERP, MRP, inventory, production, cost, and risk data into actionable recommendations.
• Lead change management for AI‑enabled ways of working, including training…