Staff Product Security Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Product Security Engineer (AI/ML): Leading the design and deployment of security capabilities for traditional application security and AI/ML systems with an accent on secure development lifecycles and AI-specific risk mitigation. Focus on building secure-by-default automation, operationalizing continuous assurance for agentic workflows, and hardening cloud-native infrastructure.
Location: Charlotte, North Carolina or Oakland, California
Salary: $207,000 – $280,000
Company
is a global financial technology platform powering prosperity for approximately 100 million customers worldwide through products like TurboTax, Credit Karma, and QuickBooks.
What you will do
- Lead security architecture reviews and threat modeling for cloud-native apps, APIs, and AI/ML systems including agents and MCP servers.
- Implement and mature security controls across the SDLC and AI lifecycle, covering SAST, DAST, and SCA.
- Develop "secure-by-default" automation, policy-as-code, and CI/CD gates to reduce vulnerabilities.
- Evaluate and integrate open-source and vendor AppSec and AI security tooling for prompt safety and runtime monitoring.
- Define enterprise security standards and communicate risks and roadmaps to leadership.
Requirements
- 6+ years of experience in product or application security for large-scale systems.
- Proven track record of operationalizing security tooling and automation within CI/CD pipelines.
- Practical understanding of AI/ML workflows, including model registries, RAG, and agent frameworks.
- Deep knowledge of OWASP Top 10 and modern cloud-native threats.
- Proficiency in one or more: Python, Go, Java, TypeScript/Node, Rust, or Scala.
Nice to have
- Experience securing agentic workflows, tool calling, and MCP servers.
- Familiarity with LLM platforms (GPT, Gemini, Claude) and prompt injection mitigations.
- Knowledge of provenance controls, SBOMs, and SLSA build practices.
- Experience with GCP, AWS, Azure, Kubernetes, and Vault.
- Strong cryptography fundamentals and real-world usage (TLS, HMAC, key management).
Culture & Benefits
- Competitive compensation package with a strong pay-for-performance rewards approach.
- Eligibility for cash bonuses and equity rewards.
- Comprehensive corporate benefits for full-time employees.
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