Staff Product Manager, Equipment Diagnostics & Field AI

ServiceTitan is the operating system for the trades, and they are seeking a Staff Product Manager to lead the vision for equipment diagnostics and AI integration. The role involves driving product development, enhancing technician experiences, and collaborating across teams to leverage AI in field service workflows.

Responsibilities:

• Own the product vision and roadmap for equipment diagnostics, from improving the core technician experience to expanding diagnostic intelligence across the platform
• Drive adoption across the various trades and personas operating on ServiceTitan, creating a truly loved and invaluable experience
• Build a platform layer of diagnostics that can be leveraged across multiple AI powered workflows throughout the product
• Create and Own a the strategy for the equipment data graph that will power multiple workflows
• Lead customer discovery with technicians and service operators to deeply understand real diagnostic workflows and where AI can have the highest impact, not just building AI for AI sake
• Partner with engineering, data science, and design to build intelligent, reliable, and fast experiences that work in real field conditions
• Contribute to the broader roadmap for how AI transforms the field service workflow in the physical world

Requirements:

• 7+ years in product management with a track record of shipping and scaling complex products
• Experience building AI-powered or intelligent systems products — you understand what it takes to make AI reliable, trustworthy, and actually useful in practice
• Strong mobile product instincts: you understand the constraints and opportunities of building for workers in the field
• A diagnostic mindset: you're energized by low-adoption problems, and you know how to separate UX issues from positioning issues from product gaps
• Comfort working across ambiguous problem spaces and iterating toward clarity with customers and data
• Strong cross-functional leadership across engineering, design, data science and Go-To-Market teams
• Ability to conduct complex data analysis to inform product decisions and direction
• Experience partnering with third parties to build collaborative products
• experience with products where the end user is doing physical, time-pressured work — field service, logistics, industrial, healthcare, or similar environments