Greenhouse Software · 1 week ago
Senior Product Security Engineer (AI/ML)
United States
Full-time
Remote
Senior Level
$168K/yr - $210K/yrGreenhouse is a company dedicated to improving hiring processes, and they are seeking a Senior Product Security Engineer with expertise in AI/ML to enhance their security initiatives. The role involves acting as a Subject Matter Expert on AI security, advising on securing AI workflows, and collaborating with engineering teams to integrate security practices into development processes.
B2BEnterprise SoftwareRecruitingSaaSSoftware
No H1B
Responsibilities
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 our 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
Qualification
Required
Practical experience securing model training and inference pipelines (specifically ARC and MLFlow) and securing AI Gateways
Professional experience as a developer releasing production code. You are 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
A 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
The 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, a plus
Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse
Applicants must be currently authorized to work in the United States on a full-time basis
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
Up to 80 hours of paid sick leave
Paid vacation time annually
Flexible paid time off (PTO)
Company
Greenhouse Software
Greenhouse is a talent acquisition software company that offers its suite of tools and services to help businesses with the hiring process.
Founded in 2012
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$110.13MKey Investors
Riverwood CapitalThrive CapitalBenchmark
2021-01-14Acquired
2018-07-12Series D· $50M
2016-07-14Series Unknown
Leadership Team
Daniel Chait
CEO
Carin Vuuren
Chief Marketing Officer
Recent News
FundersClub
2025-12-30
2025-12-10
Company data provided by crunchbase