You need a product marketing and GTM leader who aligns message, product, and market, and personally builds the production AI that keeps you ahead.
▸ Check my fit with your role — a live AI read in 30 seconds →
When marketing, product, and sales align around what the product actually does, you win competitive deals, grow faster, and stay visible to the answer engines that now decide who gets surfaced. Here is what that produced.
Marketing tells product what the market actually rewards, so the roadmap builds features that win deals, not features that demo well.
Positioning anchored in documented reality beats rivals and holds price, instead of discounting to close.
Alignment compresses the path from message to market, so revenue moves sooner and compounds.
Answer engines tend to surface the brand whose message is consistent and anchored in technical fact. I build the systems that keep it that way.
Paste a job description or pick a question. A live Claude model answers, grounded only in my verified record — no fluff, no invented claims.
Four motions at four companies — the strategy on top, the results underneath. Every figure is audited and traces to the record.
Recruited to build the enterprise GTM motion from scratch — packaging, competitive positioning, and value-selling.
A production AI network across competitive intel, enablement, education, and content — with no added headcount.
Built the brand and the self-service conversion engine for a JetBrains video SaaS, from launch.
Repositioned a content-curation tool into an enterprise customer-journey platform, moving the company upmarket.
Four shown here. The full case studies go deeper on each.
The alignment is not a deck — it is a system. I architect production AI in Python and TypeScript, with custom MCP servers and RAG knowledge bases, that keeps the message anchored and the competitive picture current.
Recognized with the 2024 AI Marketing Innovation Award by the Product Marketing Alliance, for production AI built and deployed in a real go-to-market org.Product Marketing Alliance · 2024
The agents have names, not slideware: sales-enablement-writer, meeting-insights, project-scribe, content-repurposer, research-analyst, and quality-auditor, among others. The second-brain knowledge system (Obsidian, Claude, and a custom MCP server) runs as a no-code organizational knowledge base.
▸ The Obsidian MCP server behind it is public — smart-connections-mcp · 49★ on GitHub. More at github.com/msdanyg.
My manager, the Chief Product Officer, recommended I expand my mandate to lead AI adoption company-wide.Executive sponsorship, from the person I report to.
A dramatization of the always-on competitive scanner that runs inside ActivTrak (~24 competitors, adversarially verified, auto-posted). The production system is internal, so the panel simulates its output.
An agent that holds a competitor's marketing claims against what their own documentation actually says, grounding every finding to a source line. It runs in demo mode, so there is nothing to set up. This standalone demo illustrates the in-use pipeline; it is not the internal ActivTrak production scanner above. (Built as my Kaggle "AI Agents Intensive" capstone, submission in progress.)
Evaluating a marketing or AI-forward leadership role?
The Digital Reformation: Algorithms Rewiring Democracy (2025) — a non-technical book on AI's impact on society and democracy, written through an end-to-end AI writing pipeline I built. I didn't just write a book about AI; I built the machine that helped write it.
Published in People Managing People — "How to Redesign Entry-Level Roles," a byline on rethinking entry-level work in an AI-shifted org. Read it ↗
Series: AI Cost Rationing (token rationing, credentialing theater, the enablement-vs-cost misdiagnosis), the AI Adoption Case Study series, and an AI internal-enablement series on LinkedIn. A published ActivTrak case study on B2B-tech AI-adoption measurement covers the work in a customer's words.
Fifteen-plus years leading marketing, including ~14 scaling SaaS revenue across PLG and sales-led motions, now paired with the production AI most companies are still only trying to buy. I report to the CPO, sit in the Product org, and own Product Marketing, Customer Education, and Technical Writing, plus company-wide AI enablement.
Distributed by default: international teams across five countries; I work remotely abroad for extended periods.
If you are building an enterprise GTM motion and want someone who owns the positioning, aligns it with product and sales, and builds the AI underneath it, that is the conversation worth having.
Unusually technical for a marketing leader — he reads the actual code.
Turned AI into the infrastructure running much of GTM, day to day.
Vinnie Flynt · Senior Technical PM, ActivTrakRebuilt a runaway support center and cut the backlog to zero in three months, then designed repeatable AI-based content processes.
Heather Nalbone Mueller · former direct reportOwns change management across support, dev, services, and marketing so handoffs don't break; release notes and technical docs ship ahead of schedule.
Laureen Krueger · Product Manager, ActivTrak