Product Manager, PlantOS
Mariana MineralsSan Francisco HQPosted 19 March 2026
Tech Stack
Job Description
Product Manager, PlantOS
About Mariana Minerals
Mariana Minerals is not a software company selling to mining companies. We are a mining company that builds software.
We design, build, commission, and operate our own mines and refineries. We develop our own chemical processes. We're producing battery-grade lithium salts from real oil and gas wastewater in our lab and pilot facilities today. Our first commercial-scale lithium production facility, Lithium One, is targeting production in the first half of 2027.
The software — what we call MarianaOS — exists to make our projects come online faster and run better. We don't sell it. We deploy it into our own operations and measure its impact in tons of metal produced, dollars of cost removed, and months shaved off construction timelines.
Role Overview
We're looking for a Product Manager to own PlantOS — Mariana's autonomy platform for mineral processing facilities.
PlantOS uses the same reinforcement learning toolkit powering self-driving vehicles and humanoid robots — except we're using it for autonomous, short-interval control of minerals refining circuits. We adjust operating set points in real time, optimizing across lithium recovery, reagent consumption, energy intensity, and equipment uptime simultaneously. The feedstock is variable and messy — wastewater compositions shift, ore grades change — and the system has to adapt continuously. We're targeting a 50% compression in commissioning timelines and a 25%+ reduction in steady-state operating costs.
Ship a feature here and you can watch the needle move — recovery rates, reagent consumption, energy intensity, equipment uptime. These aren't proxy metrics. They're the actual physics of making metal.
You'll work with chemical engineers, metallurgists, ML engineers, and plant operators — people who understand the physics of what they're doing and can tell you exactly where the bottlenecks are. There's no translation layer between you and the domain experts. They're your direct collaborators. They'll push back on your designs with real constraints and tell you when your model is wrong and why.
The Product: PlantOS
PlantOS is Mariana's autonomy platform for fixed-plant mineral processing. It's the system that controls and optimizes everything that happens inside a processing facility—lithium refining, solvent extraction and electrowinning (SX-EW), grinding, flotation, and beyond.
What PlantOS does:
- Exposes all the information (everything from design drawings to PLC data) needed to manage a facility in one easy to navigate location — and directs operator attention to the most relevant metrics to drive continuous improvement
- Uses reinforcement learning to dynamically adjust operating conditions in real-time, responding to feed variability and process upsets
- Optimizes recovery, throughput, energy consumption, and reagent usage simultaneously across different process types
- Accelerates facility ramp-up by encoding operational expertise into software
- Moves toward no-human-in-the-loop operations for routine process control
Mineral processing is a complex dance of chemistry and physics — dozens of interdependent variables where small adjustments compound into major differences in yield, quality, and cost. PlantOS is how we run processing facilities smarter than anyone else.
What You'll Do
- Define what to build by looking at operational performance data and talking to operators and process engineers — including figuring out what metrics and instrumentation need to exist in the first place
- Spend 25-50% of your time at processing facilities, learning how the process chemistry works, observing operators making real-time decisions, and understanding where software can change outcomes
- Bridge very different stakeholders: PhD chemists and process engineers who think in thermodynamics, plant operators who know what's working and what isn't, and ML engineers building the control models
- Ship software that runs in p ... (truncated, view full listing at source)
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