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. In the six years since founding, 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 has the potential for another high-quality discovery.

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

About The Role:

KoBold just completed a Series C equity round valuing the company at $3 billion, and we seek this Senior Data Science and Engineering Recruiter to lead a swift, company-defining investment in a dramatic increase in data science and engineering talent to exceed the highest concentration of talent in the industry. The Recruiter will run full-cycle recruiting to source and close specialized technical talent for roles like Staff Machine Learning Data Scientist, Principal Data Scientist, and Staff Machine Learning Engineer to secure industry-leading talent like Damian Burch and Liz Main.

Reporting to the Chief People Officer, the responsibilities of this position include:

• Translate a deep understanding of job specifications into exquisite sourcing to fill top-of-the-funnel, as demonstrated by conversion rates across interview stages
• Find creative ways to source candidates beyond traditional channels
• Provide an exceptional experience throughout the hiring process, as demonstrated by low withdrawal rates
• Proactively surface issues in the hiring process to the company’s senior executives for quick resolution, as demonstrated by time-to-fill rates
• Masterfully articulate the value proposition of becoming an employee and equity holder at KoBold, as demonstrated by offer acceptance rates
• Serve as a talent market expert by educating our internal staff on market dynamics and recruitment strategies
• Advise the senior executives of the company on talent strategy
• Reliably and effectively report pipeline performance to stakeholders on a consistent cadence
• Support hiring managers in prioritizing recruiting and hiring team’s time across concurrent openings
• Serve as a talent market expert by educating our internal staff on market dynamics and recruitment strategies
• Coordinate offer details with HR, our Founders, and the hiring manager
• Contribute to our overarching recruiting processes and philosophies

Qualifications

• 5+ years of full-cycle recruiting for niche technical talent at top-tier technology companies.
• Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting.
• Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.

KoBold Metals is an equal opportunity workplace. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

This position is Full-time exempt

The US base salary range for this full-time exempt position is $130,000-$210,000

Location: Remote. Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada.