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About the Role
Security Level 5 is an AI security nonprofit dedicated to defending frontier models against nation-state threats. This role involves designing and building the first datacenter purpose-built to the Security Level 5 standard, a critical challenge in AI security engineering.
Responsibilities
- Owning the recruiting process and refining it.
- Sourcing, screening, coordinating interviews, and closing offers.
- Translating fuzzy hiring needs into clear role definitions and scorecards.
- Serving as the initial point of contact for candidates, explaining the mission and representing the organization.
Requirements
- 2+ years of full-cycle recruiting experience, including technical or research hiring at a startup or fast-growing organization.
- Ability to own an entire recruiting function and rebuild processes from the ground up.
- Sufficient technical expertise to effectively screen candidates.
- Capability to operate autonomously while maintaining team synchronization.
- A strong commitment to the mission of ensuring AI develops safely.
Skills
- Full-cycle recruiting
- Technical recruiting
- Research hiring
- Candidate screening
- Interview coordination
- Offer negotiation
- Process improvement
- Autonomous operation
- Team synchronization
Location
- Bay Area
Work Type
- In-person
Experience Level
- 2+ years
Salary/Compensations
- $150,000 - $220,000 USD per year
Benefits
- Full benefits
- Healthcare
- Dental
- Vision
- 401k match
About the Company
- Security Level 5 is a Bay Area AI security nonprofit.
- We work with AI labs and US intelligence agencies to defend frontier models from priority nation-state-level threats.
- We are a fast-growing organization tripling headcount this year.
- Our mission is to design and build the first datacenter purpose-built to the Security Level 5 standard.
- We aim for an at-scale SL5 datacenter build in 2027.
- We wrote the first version of the SL5 standard with input from industry and government officials.
- We are designing SL5 architectures purpose-built for frontier AI workloads and standing up a reference tech stack.