Product Manager, Airspace Platform

As a Product Manager on Zipline's Airspace Platform team, you will help build the infrastructure that makes autonomous aviation safer, more efficient, and scalable across the world. You will work at the intersection of autonomy, aviation, software, data, regulation, and real-world operations, defining how Zipline understands and uses shared airspace, coordinates with other airspace users, integrates with external systems, and enters new markets. This role is ideal for a product leader who enjoys ambiguous, technically complex problems and can move fluidly from strategy to analytics to validated product decisions.

Responsibilities

• Define key aspects of the product strategy and roadmap for Zipline’s Airspace Platform, spanning airspace intelligence, strategic and tactical coordination, interoperability, tracking, analytics, and operational workflows.
• Turn real-world flight and airspace data into products that improve safety, efficiency, visibility, and access to shared airspace.
• Build analytical tools and metrics to identify operational friction, explain delays and conflicts, measure airspace efficiency, and guide product decisions.
• Lead interoperability with external drone operators, air traffic management, regulatory, and industry systems.
• Help shape industry standards and ecosystem architecture through engagement with regulators, standards organizations, customers, and partners.
• Partner with commercial, regulatory, and operations teams to deliver the capabilities required for Zipline’s entry into new markets.
• Use simulation, data analysis, rapid prototypes, and AI-native workflows to explore ideas, test assumptions, and invalidate weak concepts before significant engineering investment.
• Align engineering, autonomy, operations, safety, regulatory, data, and commercial teams around clear priorities and measurable outcomes.

Requirements

• 8+ years of product management, technical product management, systems, analytics, or related experience.
• Experience building complex software platforms, data products, operational systems, or products that operate in the real world.
• Strong analytical skills, including experience defining metrics, working with operational data, and using evidence to prioritize decisions.
• Technical fluency with APIs, data models, distributed systems, geospatial concepts, integrations, and operational workflows.
• A track record of taking ambiguous problems from concept through prototyping, validation, deployment, and scale.
• Strong ability to influence across organizational boundaries, including engineers, operators, regulators, partners, and industry stakeholders.
• Excellent written and verbal communication skills, with the ability to make complex technical and operational topics clear.
• Skill in AI-native product development and practical experience using AI tools for analysis, prototyping, research, experimentation, or workflow automation.

Nice to have

• Experience with market launches, international product expansion, autonomous systems, robotics, logistics, or mobility is a plus.