- Robot type
- Drone
- Location
- South San FranciscoCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 12, 2026
- Salary
- $147,800–$285,200 a year
Supply Chain Business Operations Manager, AI Strategy
Job description
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…
Job responsibilities
- 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…
- 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…
- 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 users, documenting workflows, measuring adoption, gathering feedback, and iterating quickly with frontline and leadership stakeholders.
- Establish practical governance for AI use in supply chain operations, balancing speed with accuracy, security, auditability, and appropriate human oversight while continuing to develop executive-ready insights and…
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