Staff Product Manager

What You’ll Do

• Own a product domain end-to-end — from uncovering the right problems through shipping software that runs in real operations where consequences are physical and feedback is immediate
• Define what to build by analyzing operational performance data and talking to domain experts — including figuring out what metrics and instrumentation need to exist in the first place
• Spend meaningful time at project sites, processing facilities, and mines to understand how work actually happens — prioritization comes from deep operational knowledge, not market research
• Work at the intersection of hardware, software, and AI — translating what models can do into what operators will trust, and what robotics can deliver into what sites need
• Drive clarity in ambiguous situations: break down complex problems, define scope, make tradeoffs explicit, and keep teams focused on what matters most
• Help build the PM function — this is a small, early PM team where you’ll help establish how we work, how we prioritize, and how we develop PMs behind you

Desired Qualifications

Must Have

• 7+ years of experience in product management, with meaningful time in environments where software intersects with physical systems, industrial operations, or safety-critical applications
• Demonstrated ability to go deep on technical domains and build credibility with engineers — you’ve earned trust by understanding the work, not just managing it
• Experience leading cross-functional teams through ambiguous, complex projects with competing constraints
• Intellectual curiosity about physical systems — you want to understand how the domain works, not treat it as a black box
• Ability to communicate across a huge range of technical literacy — from PhD engineers and scientists to field operators with no software background
• Strong product judgment — you prioritize ruthlessly and focus the team on highest-leverage work

Nice to Have

• Experience with autonomous systems, robotics, or fleet-scale operations
• Hands-on work with ML-powered products — especially RL, process control, or optimization in production settings
• Background in industrial software, digital twin systems, or process automation
• Track record of digital transformation work in traditional industries
• An engineering or technical degree (not required, but the instincts it builds are valued)