Staff Product Manager (Vehicle AI)

Join Skydio, a leading company in autonomous robotics. As a Staff Product Manager for Vehicle AI, you will shape the future of autonomous systems by owning the roadmap for advancing vehicle intelligence. You will work closely with our world-class autonomy team and partner with engineering, design, and customers to define and deliver what autonomous systems should do and how they should interact with humans. You will drive the end-to-end autonomy development lifecycle and own the user experience of autonomy.

• Own the roadmap for advancing Skydio's autonomous capabilities and vehicle intelligence, defining how autonomous systems should perceive, reason, plan, communicate, and act in real-world environments.
• Drive the end-to-end autonomy development lifecycle, including data collection, labeling, training, simulation, evaluation, deployment, and monitoring, while defining benchmarks, success metrics, and validation frameworks for autonomy performance.
• Partner closely with engineering, design, and customers to define and deliver what autonomous systems should do, how they should interact with humans, and the infrastructure required to continuously improve their capabilities.
• Strong technical fluency and comfort working closely with engineers on system architecture, model performance, and technical tradeoffs
• Strong ownership mindset and a track record of driving cross-functional initiatives from concept to deployment
• Experience building products that improve through data, machine learning, or continuous feedback loops
• Experience and aptitude for large scale data analytics skills and ability to generate data-driven insights
• Passion for understanding real-world customer workflows and translating them into product strategy
• Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions
• 7+ years building deeply technical products in robotics, AI/ML, autonomous systems, or other complex software domains
• Excellent judgment in ambiguous environments and the ability to prioritize high-impact opportunities