We’ve organized every stage and persona in the AI supply chain, informed by real recruiting at frontier companies. Click any row to see matching profiles from our talent graph.







Summary
Known as: AI Policy Lead, Government Affairs, Regulatory Strategy, AI Ethics & Policy, Public Policy Manager
Shapes and navigates the regulatory, geopolitical, and institutional environment for AI. At frontier labs, policy shapes what gets trained, what safety commitments bind the org, and how models are released. At applied companies, maps to regulatory affairs and go-to-market positioning. The talent pool is distinct: policy schools, think tanks, government, and legal backgrounds.
Specializations
Shapes the commitments that Governance operationalizes. Export controls and compute governance touch substrate (semiconductor policy, chip export restrictions).
Where the Work Lives
Policy decisions directly shape what gets trained and what capabilities are developed.
Defines safety commitments and release policies that constrain how models are deployed.
Shapes regulatory strategy, go-to-market positioning, and how models are released to market.
Candidate Archetypes
Translates regulatory text into company posture, commitments, and release constraints.
Builds relationships, shapes consultations, and manages public-sector interfaces.
Tracks policy moves that affect hardware access, deployment boundaries, and strategic risk.
Company Scale
Frontier labs and large tech facing regulatory scrutiny. Growth-stage hires for regulated markets and anyone selling into the EU post-AI Act. Healthcare and financial services accelerate the timeline.
Featured Roles
If you’re hiring at the AI frontier, let’s talk.