VP, Product Management, AI Security & Strategy

Added
20 days ago
Type
Full time
Salary
Salary not provided

Related skills

langchain iam langgraph pam autogen

📋 Description

  • Own the vision, multi-year strategy, roadmap, and business success metrics for BeyondTrust’s AI security portfolio areas on the Pathfinder platform.
  • Serve as a senior leader of the product organization, setting strategy across the portfolio, driving cross-functional alignment with engineering, GTM, and executive leadership, and stepping in as a principal external voice for the company.
  • Lead, hire, and develop a high-performing team of product managers; set the operating model for discovery, roadmap, and delivery while remaining close to the most important work.
  • Drive 0-to-1 product development and guide AI security capabilities from design-partner validation through GA, and build the repeatable motion for doing it again.
  • Represent BeyondTrust externally as a credible, polished product leader: customer advisory boards, executive briefings, analyst days, and industry conferences.
  • Own go-to-market strategy in partnership with Marketing, Sales, and SE leadership.

🎯 Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • 10+ years in product management, security research, or technical strategy, with significant depth in cybersecurity, identity security, or cloud security.
  • 5+ years of product leadership, including building and scaling teams; experience managing other managers preferred.
  • Deep business acumen and operator experience. Candidate has run a product line, P&L, and go-to-market motion.
  • You have shipped AI-native products where AI fundamentally changes the value proposition, not just products that use AI features.
  • Exceptional executive presence and communication.

🎁 Benefits

  • Advanced degree in Computer Science, Information Systems, Engineering, or related field.
  • Hands-on familiarity with agentic frameworks and the modern AI security stack (LangChain, LangGraph, AutoGen, Claude Agent SDK, or similar).
  • Recognized external voice — conference keynotes, published research, or established analyst relationships.
  • Familiarity with NIST AI RMF, EU AI Act, or SEC cyber disclosure requirements.
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