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Senior Product Security Engineer – AI/ML
Location
United States
Posted
149 days ago
Salary
$168.1K - $210.2K / year
Seniority
Senior
Job Description
Senior Product Security Engineer – AI/ML
Greenhouse Software
• Act as the primary advisor for securing AI/ML workflows, conducting threat modeling for AI product features, and defining guardrails for Large Language Model (LLM) usage • Advise and review on agentic AI usage across the R&D department • Perform security testing and source code review of application and underlying platform for both AI and non-AI systems • Help upskill the wider security and engineering teams on AI security fundamentals and common threats/vulnerabilities • Partner with compliance and legal teams on AI governance decisions and processes • Act as a security partner, building and maintaining relationships with product and engineering teams to integrate security into the development process • Embed security principles and controls to achieve a ‘secure by default’ posture • Secure modern technology stacks that include Kubernetes, Docker, AWS, and CI/CD tooling • Participate in the security engineering on-call rotation to triage and respond to urgent security alerts and incidents outside of standard business hours when necessary
Job Requirements
- Practical experience securing model training and inference pipelines (specifically ARC and MLFlow) and securing AI Gateways
- Professional experience as a developer releasing production code, proficient with modern workflows like Agile, GitOps, and CI/CD
- Hands-on experience using modern AI development tools (e.g., Cursor, GitHub Copilot, Gemini, or Claude) and interacting with OpenAI/Gemini APIs
- Strong foundation in AWS core services, Kubernetes (K8s), Linux systems, and networking principles
- Expert-level knowledge of web and AI/ML application security topics (e.g. OWASP Web / LLM / Agent)
- Exposure to AI compliance frameworks (e.g. ISO42001)
- Experience with architecture reviews, auth protocols flows related to SAML, OAuth2, and OIDC
- Deep understanding of the AI ecosystem including design principles, threat models, and appropriate tools
- Ability to perform both structured and ad-hoc threat models, providing practical, code-level recommendations that balance security with development speed
- Experience working with Ruby on Rails is a plus
- Your own unique talents! Unique perspectives and transferable skills are valued at Greenhouse, even if not 100% aligned with the qualifications outlined.
Benefits
- Medical, dental, and vision insurance
- Basic life insurance
- Mental health resources
- Financial wellness benefits
- Fully paid parental leave program
- Short-term and long-term disability coverage
- 401(k) plan and company match
- Up to 14 scheduled paid holidays per calendar year
- Up to 80 hours of paid sick leave
- Up to 20-25 days of paid vacation time annually based on tenure
- Flexible paid time off (PTO)
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