layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Business Operations, Product & Science at Periodic Labs | LAYIQ

An undergraduate or graduate degree in physics, chemistry, materials science, computational science, or a closely related quantitative discipline — or equivalent depth demonstrated through research or industry experience
4+ years of experience in strategy, operations, product management, chief-of-staff, or a closely related function — with at least some of that time spent inside a technical, research-driven, or AI organization
A genuine ability to read and engage with primary scientific literature, follow technical discussions at the frontier of AI and physical science, and translate what you learn into operational decisions
Exceptional analytical and structured thinking — you can decompose hard problems, build models under uncertainty, and present findings with conviction and intellectual honesty
Outstanding communication skills: you write with precision and clarity, and you can adapt your register from a conversation with a principal scientist to a board presentation without losing rigor
High agency, strong judgment, and the organizational credibility to influence without authority across a team of world-class researchers and engineers
Experience designing and operating planning and prioritization systems in environments where the work is exploratory, the outputs are uncertain, and the stakes are high
A genuine belief in the mission — you are drawn to the idea of using AI to accelerate scientific discovery, and that orientation shapes how you approach your work
Especially Strong Candidates May Also Have
A PhD in a physical science or engineering discipline with research experience at the boundary of computation and experiment — molecular simulation, condensed matter, materials informatics, or similar
Prior experience in a research operations, technical program management, or science strategy role at an AI lab, national lab, or research-intensive technology company
Hands-on experience with AI/ML workflows, model evaluation, or the product development lifecycle for AI-powered applications
A background that spans both the scientific and commercial sides of a technology organization — you’ve sat in rooms with researchers and with customers, and you know how to bridge those worlds
Experience building or scaling operational functions from scratch, including hiring, process design, and tooling selection
Mechanics
Minimum education: Bachelor’s degree or similar experience
Location: Menlo Park, CA or Montreal, Canada

Business Operations, Product & Science

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