About the Company

In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.

KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.

Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.

KoBold runs exploration programs in eight countries, all with the potential for another discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.

About the position

This role will be a key member of our team in Zambia, responsible for leading project planning efforts across the organization. You will work closely with business and technical teams to develop, maintain, and optimize project schedules, ensuring alignment with overall strategic goals. Additionally, you will provide analytical insights and planning tools to monitor project performance and support data-driven decision-making. Since KoBold is a startup company operating globally, your role will be dynamic and your role and responsibilities will grow as the company grows.

Responsibilities

The Project Planner will:

Lead development of integrated, resource-loaded master schedules (Primavera P6) from concept through commissioning and close out, aligned to WBS/CBS standards.
Establish the schedule governance model (coding structures, calendars, fragnets, interfaces, and data quality checks) for all workstreams and contractors.
Drive baseline development (scope freeze assumptions, logic, critical/near‑critical path, milestones) and obtain formal approvals.
Build and maintain robust WBS/OBS/RBS structures and activity coding to enable multi-level reporting (program; project; area; system; subsystem).
Perform logic integrity audits (lags, open ends, constraints, out‑of‑sequence work) and enforce schedule hygiene standards (DCMA 14‑point compliance).
Implement resource and crew planning, leveling/stacking rules, and labor/equipment calendars consistent with field realities.
Conduct critical path and driving-path analysis, total/ free float consumption tracking, and pathway-of-risk reviews.
Run trend analysis (SPI(t), schedule variance, progress curves, productivity indices) and produce leading indicators and early‑warning signals.
Build what‑if simulations and scenario models (alternate execution sequences, resequencing for access/permits, weather or logistics constraints).
Perform probabilistic schedule risk analysis (e.g., Monte Carlo) to quantify P‑dates, confidence levels, and criticality/sensitivity indices; propose mitigation and contingency plans.