Private Draft

The 29 personas behind AI

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.

Shaped by Industry Experts
Kumar Chellapilla
Kumar ChellapillaVPE
Jennifer Anderson
Jennifer AndersonVPE / Stanford PhD
Thuan Pham
Thuan PhamCTO
Akash Garg
Akash GargCTO
Linghao Zhang
Linghao ZhangResearch Engineer
Wayne Chang
Wayne ChangEarly FB Engineer
Indrajit Khare
Indrajit KhareEM & Head of Product
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Governance

Makes compliance enforceable
Governance

Summary

Known as: Responsible AI Engineer, AI Governance Engineer, GRC Engineer, Data Governance Engineer, Compliance Engineer, Privacy Engineer

Builds technical controls that make governance enforceable: auditability and traceability, compliance-by-design, evaluation reporting and sign-off workflows, data provenance and licensing controls, privacy and retention constraints, and security compliance and audit for AI systems.

Specializations

Compliance & Audit — AI Act compliance, SOC2, model cards, sign-off workflows, and the documentation and reporting systems that make governance auditable. Turns regulatory requirements into enforceable technical controls.
Data Governance — Data provenance, licensing, retention, privacy, and the systems that track where data came from, who can use it, and when it must be deleted. Complex and getting harder as training data licensing and privacy regulation tighten.
Defensive AI Security — Security compliance and audit for AI systems: security posture assessment, control attestation, incident classification, and regulatory reporting for AI-specific threats. Builds the compliance framework and audit trail that makes security posture demonstrable.

Enterprise procurement and regulatory pressure (EU AI Act, sector-specific compliance) drive governance hiring — companies that sell to regulated buyers need auditable controls whether or not they'd otherwise prioritize the function.

Where the Work Lives

[1]Substrate
[2]Compute
[3]Intelligence
Secondary

Data governance and provenance controls that shape what models can be trained on and how.

[4]Systems
Primary

Builds technical compliance controls: auditability, traceability, and enforceable governance frameworks.

[5]Distribution
Secondary

Regulatory compliance and audit trails for AI products in market.

Candidate Archetypes

Philip Wagener
Philip Wagener
Google
Compliance & audit

Builds attestable workflows, documentation systems, and sign-off gates that survive real audits.

Jon Richards
Jon Richards
Microsoft
Data provenance

Enforces lineage, retention, and 'who can use what data' constraints end-to-end.

Nate Walker
Nate Walker
Meta
Security assurance

Turns security posture into auditable controls and evidence trails for regulatory reporting.

Company Scale

Early-Stage
Rare
Growth
Occasional
Enterprise
Primary

Driven by enterprise procurement and regulatory pressure. Growth-stage companies rarely staff dedicated governance engineers; compliance plus an engineer handles it until scale forces a team.

Featured Roles

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