Forward Deployment Engineer, Okta for AI

Okta Okta · Enterprise · San Francisco, CA · Okta for AI Agents-764

Okta is seeking a Forward Deployed Engineer to work with strategic customers, building and deploying solutions using their platform. This role involves writing production code, shaping technical architecture, and influencing product usage at scale, focusing on securing AI and the Agentic Security market. The engineer will lead AI prototyping, develop reference architectures, provide field enablement, influence roadmaps, and manage full-lifecycle engagements from POCs to outcome mapping and expansion.

What you'd actually do

  1. Lead the development of Lab/Demo assets and AI prototyping. Create "The Engine" for sales velocity by ensuring pricing strategies and technical execution are aligned with field reality.
  2. Develop reference architectures, whitepapers, and standardized POC guides. Create the "Backbone" of knowledge—centralized hubs and reporting dashboards—to scale AI expertise globally.
  3. Provide strategic guidance to SEs, TAMs, and Professional Services. Act as the feedback loop, funneling field insights back to Product to close technical gaps and ensure the solution fits complex customer environments.
  4. Represent Okta's AI strategy at conferences and analyst briefings while building alliances with cloud and AI partners to accelerate innovation.
  5. Act as the executive AI authority for Okta’s portfolio. Partner with the CPO, CISO, and Engineering to influence roadmaps with "AI-first" innovations and modular, repeatable solution patterns.

Skills

Required

  • identity
  • cybersecurity
  • AI
  • Data Science
  • technical customer success
  • implementation
  • health monitoring
  • expansion
  • AI/ML technologies (anomaly detection, LLMs)
  • Agentic Frameworks (A2A, MCP, and relevant protocols)
  • Executive Presence
  • cybersecurity strategy
  • repeatable playbooks
  • backbone assets
  • CTO, Field CTO, or Distinguished Architect in a cybersecurity or SaaS company
  • Advanced degree in a technical or business-related field

Nice to have

  • Lab/Demo assets development
  • AI prototyping
  • pricing strategies
  • technical execution
  • whitepapers
  • standardized POC guides
  • centralized hubs
  • reporting dashboards
  • SEs, TAMs, and Professional Services guidance
  • Product feedback loop
  • conferences and analyst briefings
  • cloud and AI partners
  • CPO, CISO, and Engineering partnership
  • high-impact POCs
  • technical upsell opportunities
  • Post-Sales teams collaboration

What the JD emphasized

  • Agentic Frameworks
  • modular, repeatable solution patterns
  • outcome mapping
  • runbooks and implementation guides

Other signals

  • customer impact
  • production code
  • technical architecture
  • massive scale
  • Agentic Security market