Secure Manufacturing & Stealth Investigator (Cybersecurity)

TL;DR

Secure Manufacturing & Stealth Investigator (Cybersecurity): Building and running investigative capabilities for sensitive hardware and manufacturing programs with an accent on insider risk, supply chain integrity, and intellectual property protection. Focus on conducting complex end-to-end investigations, threat hunting, and developing investigative playbooks to mitigate risks to unreleased products and infrastructure.

Location: San Francisco (Onsite)

Compensation: $288,000 – $425,000 + Equity

Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead complex investigations to identify and mitigate risks to unreleased products, prototypes, and confidential hardware.
• Investigate unauthorized disclosures, insider threats, vendor misconduct, and supply chain compromises.
• Analyze disparate evidence sources including physical access logs, device telemetry, procurement records, and OSINT.
• Conduct proactive threat hunting to surface early indicators of compromise or leakage.
• Develop investigative playbooks, evidence-handling standards, and recurring-risk feedback loops.
• Collaborate cross-functionally with Legal, HR, Engineering, Procurement, and Physical Security teams.

Requirements

• 8+ years of investigative experience in corporate security, insider risk, supply chain security, or counterintelligence.
• Proven ability to independently lead complex end-to-end investigations across cyber, physical, and operational domains.
• Strong understanding of adversarial collection methods, information leakage, and vendor risk management.
• Ability to synthesize data from physical, digital, and human intelligence sources.
• Excellent cross-functional collaboration skills.
• Must be authorized to work in the United States.

Culture & Benefits

• Opportunity to work at the forefront of AI research and deployment.
• Commitment to safety and human-centric AI development.
• Inclusive environment valuing diverse perspectives and experiences.
• Competitive compensation package including equity.
• Comprehensive benefits and equal opportunity employment practices.