Staff Product Manager
Owns end-to-end product domains in MarianaOS, building software for mining operations, mineral processing, and business ops at the hardware-software-AI intersection. Requires 7+ years PM experience in physical/industrial systems, on-site presence, and significant travel.
About the job
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)
Skills
Product Management, Reinforcement Learning, Machine Learning, Autonomous Systems, Robotics, Digital Twin, Process Automation, Fleet Management, AI, Data Analysis
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