Note: The job is a remote job and is open to candidates in USA. Vertex Inc. is a company focused on product security in the AI domain, and they are seeking a Senior Product Security Engineer. This role involves leading the development and implementation of security strategies for AI-enabled products, ensuring robust security practices throughout the product lifecycle.
Responsibilities
- Own and evolve major components of the Product Security strategy, translating product and business risk into actionable, measurable security programs with clear success metrics
- Lead Secure-by-Design initiatives across product teams, embedding security requirements early in product and feature design, and defining secure design patterns, reference architectures, and guardrails that scale
- Lead security architecture reviews, secure code reviews, threat modeling, and application penetration testing, with a focus on systemic risk reduction across a broad range of products
- Establish and own security best practices for AI-enabled product features, model integration, and AI service architectures, including data handling, model access, and inference workflows
- Lead AI-specific threat modeling addressing misuse, data leakage, supply-chain exposure, and abuse scenarios; define security controls and governance requirements specific to AI features and services
- Evaluate the security implications of new AI technologies, tools, and models prior to adoption; embed responsible AI principles—traceability, privacy, bias awareness, transparency, and auditability—into product security decisions
- Drive consistency in how product and AI risks are assessed, documented, tracked, and accepted across the organization
- Serve as advisor to product and engineering on security risk, architectural trade-offs, and risk acceptance decisions
- Mentor and provide technical leadership to other Product Security engineers and serve as an escalation point for complex security decisions
Skills
- 5+ years of experience in the security domain, including applying security controls to cloud-based technologies and implementing Product Security frameworks such as OWASP, CIS Benchmarks, and Cloud Security Alliance (CSA)
- Proven track record of establishing security controls and governance requirements for AI-enabled features, including data handling, model access, and inference workflows
- Hands-on experience with AI product development security, including partnering with engineering and subject matter experts on model evaluation, tuning, and training
- Ability to define evaluation criteria for AI systems and interpret results to inform security requirements and release readiness decisions
- Experience with cloud governance principles and Product Security tooling, including SAST and DAST
- Demonstrated ability to lead threat modeling, secure code reviews, and application penetration testing for complex, cross-cutting security issues
- Demonstrated expertise in defining and scaling secure design patterns, reference architectures, and security guardrails across multiple product teams
- Technical acumen to experiment directly with AI tools and prototypes in support of faster product security validation
- Bachelor's degree in computer science or a related field; equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree
- Experience with DevSecOps practices, zero trust design principles, and cloud incident response. Experience contributing to the automation of security analysis and testing activities
- Track record of mentoring and providing technical leadership to security engineering teams
Benefits
- This role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants
- Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs
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