Engineering Manager, Data Systems

Engineering Manager, Data Systems 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 role: At KoBold, we believe making mineral exploration data broadly accessible to humans and machines will enable systematic exploration and materially improved exploration success rates. This role is a key ingredient to this strategy. As an early Engineering Manager on the Data Systems Engineering team, you will have the opportunity to shape how we build our product and organization to realize this vision. Through development of our robust data systems, we will empower KoBold to unlock invaluable insights and streamline intricate scientific processes. Collaborating with our exceptional team of data scientists and geologists, you will have the opportunity to tackle complex scientific problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world. Responsibilities of this role include: • Thoughtfully build and lead a team of high-performing software engineers, hiring and growing diverse individuals on your team • Leverage your team in collaboration with data scientists, geoscientists, and other software engineers to plan, prioritize, and deliver impactful projects that accelerate our exploration efforts • Work with the Head of Data Systems Engineering and interdisciplinary leaders across the company on our strategy to advance both our technical product and organization • Collaborate with cross functional peers (geoscientists and data scientists) across the company, learning about mineral exploration. Coach your team to better partner across the comp