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Mariana Minerals
San Francisco, California, US; Houston, Texas, US; Ann Arbor, Michigan, United States
Source: Mariana Minerals careers · View original posting
From Mariana Minerals's posting. “We” and “our” refer to the employer.
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.
Bring direction to cross-disciplinary initiatives and align stakeholders rather than waiting for direction.
Be explicit about what will not be worked on, not just what will.
Prioritize and ship lightweight demos on ambiguous problems while bringing structure to existing work streams that lack cohesive ownership.
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.
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