
51 - 200 Mitarbeiter
Gegründet 2019
🤖 Künstliche Intelligenz
🔬 Wissenschaft
⚡ Energie
Artificial Intelligence • Science • Energy
KoBold Metals ist ein Unternehmen, das sich auf fortschrittliche Mineralerkundung spezialisiert hat. Mit Investitionen von über 100 Millionen US-Dollar jährlich in mehr als 60 Projekte auf fünf Kontinenten steht KoBold an der Spitze der Nutzung von künstlicher Intelligenz und neuartiger Hardware, um die Mineralerkundung zu einer wiederholbaren Wissenschaft zu machen. Das Unternehmen aggregiert umfassende Daten über die Erdkruste und nutzt proprietäre KI-Tools, einschließlich des Machine Prospector®-Systems, um Unsicherheiten in der Exploration zu minimieren. KoBold Metals setzt sich für ethische Erkundungspraktiken ein und wird von erstklassigen Investoren unterstützt, die sich der Entdeckung und Entwicklung neuer Batteriemetallressourcen widmen. Ihr innovativer Ansatz nutzt KI, um die weltweit größte Geowissenschaftsinformationssammlung aufzubauen und unterirdische Daten statistisch zu modellieren.
🕒 vor 2 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
Gegründet 2019
🤖 Künstliche Intelligenz
🔬 Wissenschaft
⚡ Energie
Artificial Intelligence • Science • Energy
KoBold Metals ist ein Unternehmen, das sich auf fortschrittliche Mineralerkundung spezialisiert hat. Mit Investitionen von über 100 Millionen US-Dollar jährlich in mehr als 60 Projekte auf fünf Kontinenten steht KoBold an der Spitze der Nutzung von künstlicher Intelligenz und neuartiger Hardware, um die Mineralerkundung zu einer wiederholbaren Wissenschaft zu machen. Das Unternehmen aggregiert umfassende Daten über die Erdkruste und nutzt proprietäre KI-Tools, einschließlich des Machine Prospector®-Systems, um Unsicherheiten in der Exploration zu minimieren. KoBold Metals setzt sich für ethische Erkundungspraktiken ein und wird von erstklassigen Investoren unterstützt, die sich der Entdeckung und Entwicklung neuer Batteriemetallressourcen widmen. Ihr innovativer Ansatz nutzt KI, um die weltweit größte Geowissenschaftsinformationssammlung aufzubauen und unterirdische Daten statistisch zu modellieren.
• Own cash forecasting including quarterly and annual spend predictions, working with leaders across the company to build bottoms-up estimates and create a clear understanding of how actual cash spend is allocated across the business (e.g., exploration, R&D, resource development, G&A, etc.) • Develop analytical models that help inform decision making and/or identify explicit or implicit cost improvement opportunities. Work closely with operations and technical teams to share these insights and implement change • Produce clear, actionable reporting that translates financial data into usable information that helps leaders manage their spend • Build and maintain a single source of truth for financial data, partnering with accounting and data teams to ensure integrity across systems • Lead the business justification process across the business and ensure that KoBold is being as efficient and effective as possible in allocating capital across its programs and teams • Develop a deep understanding of KoBold’s technical operations — how exploration programs are run, what mine development looks like, and what drives cost — and use that understanding to improve team effectiveness and challenge or inform cost assumptions • Build strong working relationships with operational leaders across the company and serve as a finance partner who understands their work • Help create the right performance metrics and create the reporting and processes required to drive accountability • Conduct detailed variance analysis and help teams understand their spend and course correct as necessary • Help with the assessment selection, and design of FP&A systems and tools—both third-party and in-house, custom-built tools—to support a rapidly growing, global business with complex operations • Drive automation and implement AI-enabled workflows that reduce manual work, improve forecast accuracy, and keeps the team lean • Build scalable processes and reporting infrastructure, fostering a culture that treats process improvement as essential work key to future success • Continue to develop a small, high-performing FP&A team, setting high standards and building capability • Communicate financial insights clearly to both technical and non-technical audiences, from field operators to the executive leadership team • Support IPO readiness efforts by building FP&A capabilities appropriate for a public company.
• 8+ years of FP&A or corporate finance experience, ideally including time in a capital-intensive, operationally complex business (mining, manufacturing, aerospace, energy, or similar) • Has experience managing small efficient teams in dynamic, high-growth environments with a high degree of accountability and execution quality • Brings strong cross-functional communication and ability to align finance with commercial and operational needs • Has demonstrated experience evaluating and deploying finance technology platforms, and is excited about applying AI to FP&A workflows • Is curious to learn about all aspects of our business, including travel to exploration field operations and mine development operations • Deeply engages on technical matters with technical colleagues; is uninhibited about asking probing questions of experts outside their domain • Demonstrates integrity, strong judgment, and comfort operating with urgency and precision • Brings advanced Excel financial modeling skills and direct experience working with ERP systems; SQL or Python comfort a strong plus • Strong communication with ability to build well synthesized narratives that help leaders across all disciplines better understand their work • A high degree of independence and the ability to work effectively with limited supervision • Is a creative problem solver who works hard, holds high standards, and treats people with respect and care • Feels energized by KoBold's mission, bringing optimism that lifts the team and builds belief.
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements
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