Business Operations, Product & Science

What you'll do

• Coordinate research planning, milestones, prioritization, and resources across AI and physical-science teams.
• Build operating systems and plans that give leadership visibility into research progress, risks, resourcing, and hiring.
• Drive product-science collaboration, including roadmaps, evaluation design, strategic projects, and external partnerships.

What they ask for

• Degree in a quantitative discipline such as physics, chemistry, materials science, or computational science, or equivalent depth demonstrated through research or industry experience.
• 4+ years in strategy, operations, product management, chief-of-staff, or a related function, including some time in a technical, research-driven, or AI organization.
• Ability to engage with primary scientific literature and translate technical findings into operational decisions.
• Experience designing and operating planning and prioritization systems in uncertain, exploratory environments.

Nice to have

• PhD in a physical science or engineering discipline, with research at the boundary of computation and experiment.
• Experience in research operations, technical program management, or science strategy at an AI lab, national lab, or research-intensive technology company.

Pay

$250,000-$300,000 USD base salary

AI focus

Supports coordination between AI model development and physical-science research, and leads or supports evaluation design, benchmark development, and model assessment tied to product requirements.