Jobs · Washington

Principle Product Manager

F5 · Greater Seattle Area · 1 mo ago
Hybrid$195k–$293k/yrFull-time

Key Responsibilities

  • Own and execute the end-to-end vision and roadmap for the Agentic AI program.
  • Drive prioritization across all cross functional AI initiatives, ensuring cohesive platform evolution.
  • Define and establish the AI Agent Center of Excellence (CoE) strategy to standardize and scale AI development.
  • Lead Agile delivery across cross-functional teams including engineering, security, architecture, and data.
  • Translate complex AI capabilities (LLMs, agents, reasoning engines) into clearly defined epics and features with measurable outcomes.
  • Balance business impact, technical feasibility, and developer experience at a senior level.
  • Drive deep stakeholder alignment across all business functions to ensure the Agentic AI program solves high-impact enterprise problems.
  • Act as a central bridge between business leaders and technical teams (Engineering, Architecture, Gemini team).
  • Oversee the governance of agentic workflows, ensuring secure, compliant, and cost-effective deployments.
  • Lead AI Innovation Reviews for new, high-stakes AI use cases through the CoE.
  • Define and track North Star metrics tied to Agentic AI platform adoption, CoE success, and organizational ROI.
  • Continuously iterate strategic direction based on macro AI trends, usage data, and business feedback.

Required Skills & Experience

  • 8+ years of Product Management experience delivering technical SaaS, AI, or platform products.
  • Proven experience defining and running programs end-to-end and driving cross-functional alignment at the executive level.
  • Strong analytical mindset with the ability to define success metrics and tie product initiatives to business outcomes.
  • Excellent communication skills, with the ability to simplify complex AI concepts for diverse stakeholders.

Preferred Qualifications

  • Experience building or leading an AI/Tech Center of Excellence (CoE).
  • Experience working with enterprise AI platforms such as Gemini, OpenAI, Azure AI, or similar.
  • Familiarity with secure AI deployment patterns including observability, logging, guardrails, and access controls.

Pay

The annual base pay for this position is: $195,400.00 - $293,000.00

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