Technical Product Manager, ML & Robotics

Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.

Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. Our ML systems don't live in a vacuum — they run chemistry and process simulators, see and act in our plants through sensors and robotic systems, and increasingly move toward autonomous industrial process and chemical operations.

We're hiring a Technical Product Manager to be the single product owner for machine learning and industrial robotics — the ML platform, the simulators it runs, and the perception and robotics initiatives built on it — and to own the seam between our applied AI/ML organization and our software engineering organization. Today this work is split across technical leads with no one setting direction across the whole.

Your job is to change that: decide what the ML organization pursues and why, get stakeholders aligned behind it, and make sure engineers can stay heads-down on the work that matters.

Autonomy and robotics here mean industrial: models, perception systems, and robotic hardware that increasingly close the loop on how our plants and chemical processes run.

• Talk to our internal teams constantly — operators, process engineers, and MLEs are your users, and their problems set the roadmap.

• Own the roadmap for the ML platform: which capabilities it needs next, for which use cases, and why.

• Write the product specs, KPIs, and success metrics that turn ambiguous ML and autonomy asks into scoped, shippable work.

• Own prioritization and stakeholder alignment so MLEs stay focused on deep technical work.

• Own the path to process autonomy — models that inform, and increasingly set, process and chemical operating decisions — and the simulators that underpin it.

• Own the roadmap for vision, sensor, and robotics initiatives: which plant problems get a model or a robot first, and what "good enough to deploy" means for each.

• Own the seam between the applied AI/ML org and the software engineering org, and the boundary with MarianaOS, so nothing falls in the gap.

• Define what it takes for a model, simulator, or robot to be trusted in production, and be explicit about which initiatives won't be pursued.

• Structure from ambiguity: Bring direction to cross-disciplinary initiatives and align stakeholders rather than waiting for direction.

• Ruthless, visible prioritization: Be explicit about what will not be worked on, not just what will.

• Hybrid Pioneer/Settler: Prioritize and ship lightweight demos on ambiguous problems while bringing structure to existing work streams that lack cohesive ownership.

• Ecosystem fluency: Understand the Mariana ML, perception, and robotics ecosystem as a whole — including where it sits relative to the current frontier of model capability — so prioritization calls stay well-calibrated.

Must have

• 4–8+ years in technical product management, ML platform or robotics product roles, or equivalent experience leading cross-disciplinary technical programs

• Comfortable being the only PM in a highly technical room — you know when to drive a decision, when to defer to engineers, and how to build credibility without being the most technical person there

• Enough depth in ML systems — training, evaluation, deployment, perception, simulation — to earn credibility with both ML engineers and software engineers, and to know when a…