Engineering Manager, Data Systems

🕒 March 27

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KoBold Metals

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔬 Science

⚡ Energy

Artificial Intelligence • Science • Energy

KoBold Metals is a company specializing in advanced mineral exploration. By investing over $100 million annually across 60+ projects on five continents, KoBold is at the forefront of using artificial intelligence and novel hardware to transform mineral exploration into a repeatable science. The company aggregates comprehensive data on the Earth's crust and utilizes proprietary AI tools, including the Machine Prospector® system, to minimize uncertainties in exploration. KoBold Metals is committed to ethical exploration practices and is backed by world-class investors dedicated to discovering and developing new battery metal resources. Their innovative approach leverages AI to build the world's largest geoscience information collection and model subsurface data statistically.

📋 Description

• Thoughtfully build and lead a team of high-performing software engineers • Leverage your team in collaboration with data scientists, geoscientists, and other software engineers to plan, prioritize, and deliver impactful projects • Work with the Head of Data Systems Engineering and interdisciplinary leaders across the company on our strategy • Collaborate with cross functional peers across the company • Spend roughly 1/3rd of your time contributing to projects as an individual contributor

🎯 Requirements

• 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 iterative manner • Skilled at dealing with ambiguity and prioritizing effectively from multiple inputs • Formal education or job exposure to natural sciences

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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