Marianaminerals

Staff Product Manager

San Francisco HQ · Staff+

Sponsorship not specifiedDetected 29 days ago

Machine LearningLLMsProduct ManagementSalesExcelSupply ChainLogisticsRoboticsSensorsControlsResearchLeadership

About the role

This is a single posting because we recruit for the strongest PMs first and then place them where the fit is best.
Through the interview process, we'll figure out together which part of the system is the right match for your background and instincts.
The scope of what we can touch is enormous.

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
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
You may have started as an engineer and moved into product because you wanted to own the outcome, not just the component.

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

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)
This role is different.
The number and diversity of problems is unusual: you might work across agentic LLM systems for engineering workflows, RL-based process control, and autonomous fleet optimization in the same quarter.
This is not SaaS.

You've worked with ML and AI in production - reinforcement learning, process control, optimization.

This listing is sourced directly from Marianaminerals's careers page and normalized into a canonical job model.