Principal Product Manager-Agentic SecOps
$171,500–$245,000 year
Remote · United States or San Jose, California, United States
Job Summary
Lead the Agentic SecOps platform product strategy and roadmap, owning the shared AI infrastructure (agent runtimes, curated agent library, tooling, and unified UX) to enable internal application PMs and engineering teams to build, deploy, and operate AI agents with reliability and governance. Collaborate with AI/ML teams, engineering, and go-to-market functions to ensure integration into product workflows, drive backlog prioritization and timely delivery, and define platform success metrics such as agent adoption and delivery velocity. Thrive in ambiguity, demonstrate ownership, and partner across teams to deliver scalable, secure AI platform capabilities for SecOps.
Required Qualifications
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- AI/ML Platform or Infra Product Management — Proven experience owning shared developer-facing platforms, AI infrastructure, or internal tooling products; comfortable working in platform/horizontal roles rather than end-user feature work
- Agentic AI & LLM Ecosystem Fluency — Hands-on familiarity with LLM-based agent frameworks, multi-agent orchestration patterns, agent memory and tool use, and emerging standards like MCP (Model Context Protocol)
- AI Observability, Logging & Governance — Experience defining requirements for agent tracing, evaluation, audit logs, and guardrails — including AI compliance, safety policies, and responsible AI frameworks in an enterprise context
- Cross-Functional Platform Roadmap Ownership — Track record of managing a platform roadmap that serves other product and engineering teams as internal customers, including prioritization across competing use-case demands and driving alignment with engineering on shared services and tooling
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