Principal Product Manager, Marketing Technology AI

Okta Okta · Enterprise · Bangalore, India · BT Go To Market Technology-173

Principal Product Manager for Marketing Technology AI at Okta, focusing on building and scaling AI-native MarTech products. The role involves owning the strategy and roadmap for AI agent orchestration, LLM integrations, and the end-to-end AI product development lifecycle within the GTM stack. Key responsibilities include discovering use cases, building AI experiences, defining governance and safety measures, and scaling successful innovations.

What you'd actually do

  1. Discover and validate AI-native MarTech use cases that close ecosystem gaps before they become shadow IT
  2. Build and ship AI-native experiences across the GTM stack — agents, copilots, and workflow automation that span DevOps and Content Operation swimlanes
  3. Define the human-in-the-loop gates, measurement contracts, and governance policies that make autonomous AI writes safe in production
  4. Scale proven zero-to-one wins into reusable, configuration-driven agent capabilities— so adding a new AI workflow becomes a configuration change, not a new build
  5. Own the AI product development lifecycle end-to-end — from discovery and campaign intent through prototype, build, launch, monitor, and iterate — and partner with Digital, TDI, and Adobe to drive adoption

Skills

Required

  • 10+ years in product management
  • 1+ years shipping AI/ML products in production
  • Track record taking products from idea → MVP → broad adoption inside a complex enterprise stack
  • Deep MarTech experience across Adobe Experience Platform, Marketo, and Salesforce
  • Experience building AI-powered products with LLMs, agents, RAG, and Model Context Protocol (MCP) integrations
  • Strong understanding of AI capabilities
  • Experience designing AI evaluation frameworks, quality benchmarks, and safety guardrails for autonomous and semi-autonomous workflows
  • Fluency with B2B data governance
  • Ability to balance speed and rigor
  • Excellent cross-functional leadership
  • User empathy
  • A bias for closing ecosystem gaps proactively

Nice to have

  • Responsible AI principles
  • enterprise compliance (GDPR,, regional B2B privacy regimes)
  • Understanding of AI operational economics — cost, latency, and quality tradeoffs across LLM pro

What the JD emphasized

  • 1+ years shipping AI/ML products in production
  • AI agent orchestration
  • AI-native MarTech products
  • AI-driven product development lifecycle
  • autonomous AI writes safe at enterprise scale
  • autonomous and semi-autonomous workflows

Other signals

  • AI-native MarTech products
  • AI agent orchestration
  • LLM provider integrations
  • human-in-the-loop gates
  • measurement contracts