Sr. Manager, AI Product Owner, Gtm Applications (remote)

CrowdStrike CrowdStrike · Enterprise · CA · Remote

Product Owner for AI capabilities within GTM applications, focusing on agentic AI, LLM integrations, and driving AI adoption. Responsibilities include roadmap definition, backlog management, KPI tracking, and build vs. buy decisions for AI features in enterprise SaaS.

What you'd actually do

  1. Own the AI product roadmap for GTM apps team, aligned with business OKRs and AI strategy.
  2. Identify AI opportunities in Lead-to-Cash and customer Success processes by driving Business workshops, ideation sessions and Executive meetings.
  3. Define, prioritize, and groom the backlog for agentic workflows (autonomous agents, AI Assisted Workflows and LLM Integrations) across Sales, Marketing, and Customer Success platforms.
  4. Translate business requirements into clear epics, user stories, and acceptance criteria for engineering.
  5. Make effective Build Vs Buy decisions on Agentic capabilities in complex applications environment

Skills

Required

  • 8+ years of product management experience
  • at least 2 years in enterprise SaaS or GTM technology with focus on AI
  • Proven track record delivering AI or automation products end-to-end
  • Strong understanding of GTM business processes: Lead-to-Cash, CPQ, CRM, Marketing Automation
  • Hands-on familiarity with Agentic AI, LLMs, or AI workflow platforms
  • Working knowledge of RAG architecture, prompt engineering patterns, and LLM API capabilities (OpenAI, Anthropic, AWS Bedrock, SaaS Agents)
  • Experience working in Agile/Scrum environments with cross-functional engineering teams
  • Comfort operating under uncertainty

Nice to have

  • Experience in Go to Market IT space
  • Experience with Amazon Bedrock, Salesforce Agentforce and GCP product features
  • Familiarity with MCP (Model Context Protocol) and agent interoperability standards
  • Prior experience in a high-growth SaaS or cybersecurity company

What the JD emphasized

  • at least 2 years in enterprise SaaS or GTM technology with focus on AI
  • Proven track record delivering AI or automation products end-to-end
  • Hands-on familiarity with Agentic AI, LLMs, or AI workflow platforms
  • Working knowledge of RAG architecture, prompt engineering patterns, and LLM API capabilities

Other signals

  • defining and driving product vision for agentic AI capabilities
  • translating complex GTM problems into actionable, AI-powered product roadmaps
  • owning the backlog, prioritizing ruthlessly, and shipping outcomes
  • defining and tracking AI-specific KPIs
  • championing prompt engineering standards and context-window optimization