🛠 Tech Stack

💼 About This Role

You'll define and lead product security strategy across web, mobile, API, cloud, and container security, embedding secure development practices and owning Enterprise AI Security end-to-end. You'll secure AI supply chains and MLOps infrastructure while championing compliance and AI governance frameworks like OWASP LLM Top 10. This role stands out for its focus on AI-specific threats and red-teaming in a biotech setting.

🎯 What You'll Do

• Conduct threat modeling and security reviews across product lifecycle
• Secure LLM integrations, agentic pipelines, and ML model ingestion
• Vet third-party foundation models and open-source weights for AI supply chain
• Operationalize AI governance frameworks and support audits

📋 Requirements

• 10+ years of experience in product or application security
• Deep understanding of OWASP and security frameworks
• Hands-on proficiency with penetration testing tools (Metasploit, Burp Suite)
• Expertise in Python, Java, or C++ with secure coding practices

✨ Nice to Have

• Experience with AI-specific threats (prompt injection, data poisoning)
• Familiarity with MLOps and model security
• Certifications such as CISSP or OSCP

🎁 Benefits & Perks

• 💰 Annual bonus and equity compensation
• 🏖️ Comprehensive benefits package
• 🏢 Hybrid work with remote options

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min