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

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

This role is part of CrowdStrike's Core Tech, Go To Market IT Apps Team — a team of Architects, Engineers, QA, BSAs, and Product Owners delivering highly Reliable, Scalable, and Secure Infrastructure and Automation Services across GTM Applications to Accelerate Business Velocity and Operational Excellence. As part of the GTM AI Pod, every member is expected to embrace Agentic AI technologies, operate with an open-source AI engineering mindset, and actively contribute to building the next generation of intelligent GTM workflows.

As a GTM AI Product Owner, you will define and drive the product vision for agentic AI capabilities across CrowdStrike's GTM technology stack. You will partner with Engineering, Business, and AI stakeholders to translate complex GTM problems into actionable, AI-powered product roadmaps. You will own the backlog, prioritize ruthlessly, and ship outcomes — not just features.

What You'll Do:

• 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.

What You'll Need:

• 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.

Bonus Points:

• 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 in