
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.
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11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Gray Swan is an AI security company that builds a research-backed platform to protect AI deployments across the entire lifecycle, offering input/output filtering, continuous monitoring, automated vulnerability testing, and enterprise-focused red-teaming services. The company combines frontier research, benchmarks, and large-scale red-team competitions to discover emerging attacks and deliver adaptive, integrable protections for AI agents, models, and connected tools. Gray Swan’s products and services are aimed at enterprises, AI labs, and security researchers seeking pre-deployment assessments, post-deployment monitoring, and compliance-ready defenses.
• Design and lead adversarial evaluations of frontier LLMs for biological misuse risks, including agent acquisition, pathogen characterisation and enhancement, biosecurity screening bypass, and emerging biotechnology capabilities across text, agentic, and multimodal systems • Partner with machine learning engineers and AI researchers to translate biological expertise into technical requirements for scalable evaluation datasets, classifiers, guardrails, benchmarks, fine-tuned models, and automated red-teaming • Develop and maintain the B in Gray Swan's CBRN harm taxonomy • Produce technical risk assessments and actionable recommendations for frontier AI labs, enterprise customers, policymakers, and internal stakeholders • Build, mentor, and lead a team of biology subject matter experts while establishing evaluation standards, quality processes, and scalable safety infrastructure • Represent Gray Swan as the company's biology safety expert through collaborations with AI labs, biosecurity organizations, government partners, and the broader AI safety research community
• PhD in biology, particularly in microbiology, virology, synthetic biology, protein engineering, or a closely related discipline, with postdoctoral or equivalent research experience • Deep understanding of biological misuse risks, dual-use research, pathogen biology, synthetic biology, or biosecurity • Experience conducting adversarial evaluations, biological risk assessments, AI safety research, or developing safety datasets for frontier AI systems • Familiarity with international biosecurity frameworks, dual-use governance, responsible biotechnology practices, and emerging AI safety standards • Comfortable operating at the intersection of cutting-edge biology, machine learning, and AI security • Thrive in ambiguous, fast-moving environments where you'll define strategy while building new systems from the ground up • A builder who enjoys creating teams, processes, and technical infrastructure, not simply maintaining existing programs • Experience developing machine learning systems, biological safety classifiers, or evaluation pipelines for high-risk biological capabilities • Hands-on experience with frontier AI model evaluations, red-teaming, prompt engineering, or AI capability benchmarking • Experience working with government biosecurity organizations, frontier AI labs, or organizations focused on catastrophic biological risk • Publications or significant contributions in AI safety, biosecurity, synthetic biology, or dual-use governance • Strong programming or data science experience (Python, ML tooling, biological data analysis) • Legally authorized to work in the United States
• 401k with up to 4% matching • 28 days annual leave (vacation + holidays) • Health, dental, and vision coverage • Catered lunches (Pittsburgh office) • Flexible work arrangements • Visa sponsorship available for exceptional candidates • Performance based bonus • Meaningful equity package
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