Sr. Manager, AI Product Owner, GTM Applications (Remote)

CrowdStrike is a global leader in cybersecurity focused on stopping breaches through advanced AI-native technology. The GTM AI Product Owner will define the product vision for AI capabilities across the GTM technology stack, prioritizing actionable product roadmaps and collaborating with various stakeholders to enhance business processes.

Responsibilities:

• Own the AI product roadmap for GTM apps team, aligned with business OKRs and AI strategy
• Identify AI opportunities in Lead-to-Cash and customer Success processes by driving Business workshops, ideation sessions and Executive meetings
• Define, prioritize, and groom the backlog for agentic workflows (autonomous agents, AI Assisted Workflows and LLM Integrations) across Sales, Marketing, and Customer Success platforms
• Translate business requirements into clear epics, user stories, and acceptance criteria for engineering
• Make effective Build Vs Buy decisions on Agentic capabilities in complex applications environment
• Partner with Business to Define and track AI-specific KPIs: model accuracy, agent task completion rate, hallucination rate, business ROI, data privacy compliance, fairness reviews, and responsible use policies
• Design and champion prompt engineering standards and context-window optimization strategies across GTM features
• Partner with Data and Analytics teams to ensure GTM data is AI-ready: clean, structured, and access-governed
• Evangelize AI-first product thinking and drive AI adoption metrics across the GTM IT organization
• Embrace Agentic AI and LLM-powered tooling as a core part of your practice
• Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems
• Champion automation-first thinking — if it can be agentic, make it agentic
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Requirements:

• Bachelor's degree in Business, Computer Science, Information Systems, or related field
• 8+ years of product management experience, with 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 — AI features are probabilistic, not deterministic
• 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