Full-Time

Infrastructure and Security

Engineering Manager

Confirmed live in the last 24 hours

KoBold Metals

KoBold Metals

201-500 employees

AI-driven mineral exploration for clean energy

Data & Analytics
Energy
AI & Machine Learning

Compensation Overview

$190k - $230kAnnually

Senior, Expert

Remote in USA + 2 more

More locations: Remote in UK | Remote in Canada

Candidates can be located anywhere in the USA, UK, or Canada.

Category
Security Engineering Management
Engineering Management
Systems Engineering Management
Required Skills
Datadog
Kubernetes
Microsoft Azure
Python
CloudFormation
AWS
Terraform
Google Cloud Platform
Requirements
  • 5+ years of experience in software engineering, with hands-on cloud infrastructure management and cybersecurity focus.
  • 2+ years of leadership experience, managing technical teams in a multidisciplinary environment.
  • Expertise in Python and designing and deploying systems in the cloud on AWS, GCP, or Azure and defining those systems with infrastructure-as-code tools such as Terraform or CloudFormation.
  • Proven ability to implement secure, scalable systems for data management, access, and compute.
  • Experience with Kubernetes and GitOps-style deployments via ArgoCD or similar
  • Experience designing, deploying, and managing monitoring and alerting systems against well-defined service metrics (e.g. SLO, SLA), especially via Datadog or similar
  • Experience building systems to develop, deploy, and instrument machine learning models, particularly in Kubeflow or similar frameworks
  • Prior responsibility for planning and implementing information security measures
  • Strong track record of working effectively with diverse stakeholders: multidisciplinary environment, diverse personalities and backgrounds.
  • Deeply understand the uses of KoBold’s cloud technology to enable sound decision-making about infrastructure.
  • Build highly effective interdisciplinary relationships with scientists and engineers across the KoBold organization so that infrastructure engineering is well integrated and effectively tailored to the computational needs of the business.
  • 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.
Responsibilities
  • Deeply understand the uses of KoBold’s cloud technology to enable sound decision-making about infrastructure.
  • Build highly effective interdisciplinary relationships with scientists and engineers across the KoBold organization so that infrastructure engineering is well integrated and effectively tailored to the computational needs of the business.
  • Lead the team implementing and maintaining scalable, secure cloud-based systems for geoscientific data and distributed computing.
  • Oversee the IT team, including hardware, network configuration, and commercial software licenses.
  • Build on KoBold’s already strong cybersecurity posture.
  • Lead the week-to-week working cadence and quarterly planning process, set clear goals and timelines, and align our execution/tracking frameworks with our plans.
  • Design and implement infrastructure for distributed parallel ML and scientific computing.
  • Design, implement, and maintain security protocols for highly proprietary data.
  • Design components of the data system to ingest, store, process, and access a large volume and wide variety of geoscience data for both predictive modeling and visualization.
  • Manage a team of 5–10 engineers of varying seniority, fostering a culture of collaboration, inclusion, and accountability.
  • Provide actionable feedback and support the professional growth of each team member.

KoBold Metals discovers essential minerals like lithium, cobalt, copper, and nickel for clean energy technologies using artificial intelligence. Their proprietary AI tool employs the Efficacy of Information (EOI) concept to optimize data collection and improve exploration efficiency. By investing over $60 million annually in various projects and aggregating extensive geological data, KoBold transforms mineral exploration into a more scientific process. The company stands out by locating mineral deposits more accurately than traditional methods, generating revenue by selling these resources to clean energy companies.

Company Stage

Late Stage VC

Total Funding

$874.4M

Headquarters

Berkeley, California

Founded

2018

Growth & Insights
Headcount

6 month growth

8%

1 year growth

35%

2 year growth

129%
Simplify Jobs

Simplify's Take

What believers are saying

  • KoBold raised $491 million, indicating strong investor confidence in their AI model.
  • Global electrification drives demand for critical minerals, benefiting KoBold's market position.
  • KoBold's expansion in Zambia through partnerships enhances their mineral exploration footprint.

What critics are saying

  • Increased competition from AI-driven exploration companies could erode KoBold's market share.
  • Geopolitical tensions in regions like Zambia may disrupt KoBold's operations and increase costs.
  • Environmental regulations and community opposition could limit KoBold's site access and expansion.

What makes KoBold Metals unique

  • KoBold Metals uses AI to accelerate discovery of lithium, cobalt, copper, and nickel.
  • Their proprietary AI tool focuses on Efficacy of Information to reduce exploration uncertainty.
  • KoBold's multidisciplinary approach transforms mineral exploration into a predictable science.

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