Key responsibilities
Own strategy, priorities, and outcomes for the CBRN-E and Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program
Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas
Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities
Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers
Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs
Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle
Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations
Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes
Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings.
Minimum qualifications
Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains
Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead
Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks
Have hands-on experience with large language models and how AI could be misused for CBRN-E threats
Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners
Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership
Preferred qualifications
Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field
Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations
Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis.
Background in AI safety, machine learning security, or technology abuse investigation
Experience building and scaling threat detection systems or abuse monitoring programs
Active Top Secret security clearance
The annual compensation range for this role is listed below.
For sales roles, the range provided is the roles On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$375,000 - $455,000 USD
Logistics
Minimum education: Bachelors degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsorvisas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
