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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 data systems don't live in a vacuum — they feed process simulators, drive site automation, and are the substrate the business runs its decisions on.
We're hiring a Technical Product Manager to be the single product owner for the data engineering family — the data platform, analytics, data science, and the AI and agentic workflows built on top of them. Today this work is spread across technical leads and absorbed informally, with no one setting direction across the whole. Your job is to change that: decide what the data organization builds and why, get stakeholders aligned behind it, and make sure engineers can stay heads-down on the work that matters.
This is a hybrid Pioneer/Settler role: you'll get lightweight demos and PoCs built on ambiguous problems, and you'll bring order and cohesive ownership to data work streams that already exist. You'll prioritize ruthlessly and visibly — being explicit about what will not be worked on — and set direction rather than waiting for it to be handed to you.
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.
Get initial prototypes built with stakeholders, then write the roadmap to validate the use case and, if worth it, take it to production.
Understand where Mariana's data sits relative to the systems that consume it and relative to the current frontier of LLM capability, so prioritization calls stay well-calibrated.
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