Daniel Glickman — Product Marketing & GTM Leader in the AI Era

# 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 - [Stop Ranking. Start Answering.](https://www.cmoconfessions.com/geo): The CMO's practical guide to AI search (GEO) — semantic alignment, answer units, pre-brand journey query mapping, freshness operations, the technical checklist, and the measurement stack. Free AI