Operations · Paris Office · FullTime · Senior level
The role owns the delivery of exploration partnerships from start to finish, turning geological data and AI outputs into prioritized targets and real mining assets. It requires organizing geologists, data scientists and AI engineers around partner milestones while building trust with mining executives and field teams. A strong candidate brings several years of steering complex, ambiguous projects in consulting, tech deployment or mining development, plus the commercial sense to spot expansion and translate field needs into product features.
How it fits the AI era
The work sits where AI meets physical exploration, so the strategist translates model outputs into decisions that field teams can act on. AI speeds up target ranking and uncertainty reduction, but judging which targets matter and holding partner trust stays human. Feeding real world edge cases back to R&D keeps the platform grounded in geology rather than abstractions.
How it builds AI experience
This role builds hands on familiarity with a geology AI engine applied to ore deposit modeling, learned through live partner deployments rather than coursework. A candidate can prepare by studying how AI prioritization is used in mineral exploration and by getting comfortable discussing model outputs with technical teams. Experience coordinating AI or data products in field intensive settings would translate well.
Worth showing
- Cross functional team leadership
- Executive stakeholder trust
- Commercial and product sense
- Geoscience or engineering degree
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Lithosquare
Lithosquare develops a geology AI engine that models ore deposit genesis to accelerate the discovery of critical mineral resources.
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