Oklo
AILead,Strategy,andOperations
“AI Lead, Strategy, and Operations at Oklo. Skills: AI Strategy, Operations, Cross-functional Coordination, Execution. Lead AI strategy and operations initiatives. Translate AI capabilities into execution plans”
What You'll Achieve.
Drive measurable outcomes across a wide range of initiatives; Improve efficiency, cycle times, quality, or decision-making; Measurable impact; Improve performance, efficiency, scalability, and decision-making
Industry & Context.
Ability to prioritize high-impact opportunities; Ability to operate independently with high ownership in ambiguous environments; Identify operational bottlenecks and opportunities; Structured and analytical, with the ability to break ambiguous opportunities into actionable workstreams; Comfortable operating in ambiguity and managing evolving priorities; Practical and creative, focused on identifying real-world AI applications with measurable impact; Creative: Being creative means that when things fall outside clear scopes or processes or problems arise without clear solutions, you are able to identify it as well as invent ways to solve a problem or fill a need without micromanagement.
Remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually, Attendance at team meetings, off-sites, and other company events or gatherings, First two weeks of onboarding, employees are required to be in person at headquarters in Santa Clara, CA, Employment may be contingent upon successful completion of a drug screening, Employees may be subject to drug testing at any time
What They're Looking For.
Must Have
5–12 years of experience in strategy, operations, product, consulting, or similar cross-functional roles, Demonstrated experience driving initiatives from concept through execution in fast-moving environments, Experience identifying and implementing operational improvements or process efficiencies, project management instincts, including managing timelines, owners, dependencies, and risks, Excellent written and verbal communication skills, including preparing executive-level materials, judgment and ability to prioritize high-impact opportunities, Ability to operate independently with high ownership in ambiguous environments, Comfortable working across both technical and non-technical teams
Nice to Have
Experience working with AI/ML tools, workflows, or systems in a professional setting, Technical background in engineering, computer science, physics, or related fields (or equivalent hands-on experience), Experience partnering closely with engineering or technical product teams, Familiarity with modern AI systems, data pipelines, or software tooling environments, Experience in energy, infrastructure, advanced manufacturing, or other regulated industries, Experience supporting partnerships with enterprise technology companies, Experience in a startup or scaling organization
What You'll Do.
Lead AI strategy and operations initiatives
Translate AI capabilities into execution plans
Drive internal AI adoption across workflows
Build systems to track AI initiatives
Identify operational bottlenecks for AI improvement
Partner with technical teams on AI integration
Support relationships with AI partners
Prepare recommendations for leadership
Establish standards for AI tool usage
Build systems for evaluating emerging technologies
How You'll Work.
Team & Collaboration
Work closely with leadership and cross-functional teams; Partner with technical teams; Support relationships with AI and enterprise technology partners; Comfortable working across both technical and non-technical teams; Highly collaborative and team-oriented communicator; Work across disciplines, sharing ownership; We work as a team
Communication Scope
Excellent written and verbal communication skills; Preparing executive-level materials; Clear and upbeat communicator; Translate complex technical concepts into clear operational plans
Process & Methodology
Managing timelines, Managing owners, Managing dependencies, Managing risks, Actionable execution plans, Defining use cases, Defining timelines, Defining risks, Defining measurable outcomes, Build lightweight systems and processes to track AI initiatives, Structured and analytical, with the ability to break ambiguous opportunities into actionable workstreams, Execution-oriented with ownership and follow-through
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