# Daniel Glickman — Product Marketing & AI Leader

> Portfolio of Daniel Glickman: a product marketing and go-to-market leader who personally builds production AI systems — agents, custom MCP servers, and RAG knowledge bases — rather than only talking about them. Most recently Senior Director, Product Marketing (AI & Enterprise GTM) at ActivTrak, 2023–2026; now open to his next role (full-time leadership, consulting, fractional, or advisory). Recognized with the 2024 AI Marketing Innovation Award by the Product Marketing Alliance.

Key verified results (each stated with its qualifier):
- ~74% win rate on $30K+ enterprise deals where the competitor was known, no-decision outcomes excluded (2023–2026).
- Average competitive discount reduced from 18% to 4%; discount-revenue leakage cut ~75%.
- Enterprise segment ARR grew ~$7M to ~$45M during his tenure (contributed to, not solely owned).
- Wave.video (JetBrains): product line grown $0 to ~$22M ARR over 3 years via a self-serve PLG motion.
- ~10 production AI agents, 3 custom MCP servers, and 50+ AI deliverables in real organizational use; ~50% faster delivery and ~2x output with no added headcount.

## Pages

- [Home](https://www.cmoconfessions.com/): Positioning, outcomes, case-study summaries, and a live AI fit-checker that answers questions about Daniel's fit for a role, grounded only in his verified record.
- [Kill the Battle Card](https://www.cmoconfessions.com/method): White paper — The AI-Powered Win-Rate Method. Replace static battle cards with an AI-consumable competitive knowledge base and generate account-specific positioning for every enterprise deal. Free, ungated. PDF: https://www.cmoconfessions.com/method/ai-win-rate-method.pdf
- [Work](https://www.cmoconfessions.com/work): Six long-form case studies — the enterprise GTM motion, the production AI agent network, the competitive-intelligence scanner, Wave.video's PLG growth, Roojoom's SMB-to-enterprise repositioning, and a company-wide AI course.
- [Writing](https://www.cmoconfessions.com/writing): The Digital Reformation (2025 book on AI and democracy), white papers, and article series (AI Cost Rationing, AI Adoption Case Study).
- [Résumé](https://www.cmoconfessions.com/resume): Print-ready résumé.

## Contact

- Email: daniel@cmoconfessions.com
- LinkedIn: https://www.linkedin.com/in/glickmandaniel
- GitHub: https://github.com/msdanyg