Engineering Manager, Data Systems

Engineering Manager, Data Systems About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. Since our founding in 2018, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which ha [... source excerpt omitted ...] xploration 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 [... source excerpt omitted ...] learning about mineral exploration. Coach your team to better partner across the company. Spend roughly 1/3rd of your time contributing to projects as an individual contributor Qualifications Our ideal candidate will have: 8+ years experience building production software systems 3+ years in an engineering leadership role with reports Experience building robust distributed cloud data systems. Bonus for experience building systems managing large geospatial or geoscientific datasets. Deep understanding of multiple database and data storage technologies A track record of taking ownership from definition of the problem and delivering large projects with demonstrated impact in an it