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Sr. Product Manager - Agentic Security

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Okta
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 169000 - 253000 USD Yearly USD 169000.00 253000.00 YEAR
Job Description & How to Apply Below

About the Role

We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, focused on the domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can shape long-term direction and deliver with precision.

We build solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents, and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors.

The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code.

A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The candidate will have knowledge of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection — including scenarios where an agent may have been compromised or infiltrated.

Beyond agentic-native threats, this role requires fluency in fraud and risk mitigation across traditional and emerging attack surfaces, including Account Takeover (ATO), resource draining, and fraudulent account creation, as well as their evolving equivalents in multi-agent and autonomous system environments.

Key Responsibilities
  • Product Strategy &

    Roadmap:

    Define and champion a clear product strategy and roadmap, using data-driven prioritization to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders.
  • Customer

    Experience:

    Lead customer research (surveys, interviews, data analysis) to identify opportunities, optimize the end-to-end customer journey, and ensure product value realization.
  • Experience Design: Partner with Product Design on prototypes, wireframes, and concepts to improve usability of UI and APIs for technical and business audiences.
  • Agile Execution & Delivery: Maintain daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and participate in Agile cadences. Solve problems and manage ambiguity to ensure on-time delivery.
  • Performance Optimization: Drive data analysis and insights into customer adoption. Establish hypotheses and baselines for feature launches, track progress toward targets, and iterate based on learnings.
  • Commercial Growth & Value: Partner with Product Marketing to drive trial conversions and Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption.
  • Go-to-Market: Monitor the competitive landscape, refine product positioning, develop messaging, and craft supporting content (blogs, webinars).
  • Field & Customer Engagement: Engage with Sales, Solutions Engineering, and Technical Account Managers to understand the voice of the customer and support adoption during pre-sales, renewals, and events.
  • AI-Powered Productivity: Leverage AI tools to prototype, synthesize insights, accelerate competitive analysis, and generate product documentation.
Required Qualifications
  • AI Agent

    Experience:

    Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to apply this experience to securely authenticate, authorize, and monitor non-human AI principals at runtime.
  • Agentic Threat Remediation: Strong command of the OWASP Top 10 for Agentic AI, with experience identifying, triaging, and driving remediation of agentic threats, including prompt injection, agent intent anomalies, and rogue agent detection.
  • Product Management

    Experience:

    5-8 years in Product Management in startup or high-growth…
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