Product Marketing × AI × Marketing Engineering
I'm a product marketer with a background in healthcare and B2B SaaS. I've launched multiple AI products over my career and know how to build marketing agents that handle execution across GTM programs.
Custom agents I've built with Claude to solve real GTM challenges.
Checks how AI assistants describe a brand: whether it comes up when a buyer asks ChatGPT or Claude for a recommendation, at what rank, and whether what they say is accurate.
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Runs a full analysis of a competitor, checks it against existing intel, and produces a sourced report and an updated battlecard.
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Provide positioning, ICPs, and reference content, and it drafts copy that stays on brand and on message.
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Takes a research question and builds a study plan: the right method for the goal, who to talk to, and what to ask.
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Drives Clay end to end: seed list in, then enrichment waterfalls, AI research columns for data no database sells, and verified decision-maker emails out.
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Produce decks, one-pagers, and campaign assets from existing templates and data, keeping everything consistent with the formats and messaging the team is aligned on.
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Seven years of product marketing in healthcare and B2B SaaS, launching AI products to skeptical, regulated buyers, and using AI to move faster than the team size would suggest.

Senior Product Marketing Manager
Launching AI to safety-net healthcare
Led the platform rebrand and the launch of the CareMessage Wellness Copilot, and automated customer-insight gathering from Gong to inform roadmap and positioning.
In-platform campaigns drove 14% adoption across 3 launches; events strategy lifted MQLs ~20% year over year.

Product Marketing Consultant
Building the ABM engine for healthcare AI
Consulted for the GM of a 1,500-person healthcare AI company, leading launches of autonomous medical coding, patient voice agents, and ambient-EHR extensions.
Built the ABM playbook managing $6M in active pipeline; supported $1.5M+ in deals with demos and enablement.

Product Marketing Manager II
Unifying acquisitions into one platform
Automated competitive intelligence across 15 core competitors with Gong and Crayon, and led the rebrand and relaunch of acquired products into the EverHealth Platform.
Drove 18% revenue growth through events strategy, media placements, and upsells.

4 Clients · Healthcare + Middleware
GTM strategy for founders
Led GTM for Eldermatics, scaling the marketing and demand-gen engine to 20,000+ users ahead of its acquisition, and advised a YC-backed middleware startup that grew to $3M ARR.
1 acquisition, 1 YC raise across four consulting clients, plus $200K+ ARR sourced.
How I build my agents, and the tools I run across the funnel.
Each agent begins as a Claude Code skill or a Claude API script, then moves to the Claude Agent SDK once it needs to run on its own, with LangGraph orchestrating the multi-step flows and n8n or Zapier handling the triggers and automation.
Google Suggest, the free autocomplete feed behind the search box, hands me the exact phrases buyers type, so I skip paid keyword-tool APIs entirely. Claude clusters them against my brand pack so each asset targets real demand, then a Grammarly pass strips the AI tells and humanizes the tone, and a GPTZero check confirms it reads like a person wrote it, not a prompt.
Automated call-transcript analysis with Claude, first built on Gong in-house and now on Groq Whisper, turning hours of calls into clean, searchable text in seconds. My Customer Researcher agent designs each study, Typeform automates survey follow-ups, and Dovetail synthesizes interviews into voice-of-customer themes and ideal customer profiles.
My Competitive Intel Researcher agent runs full competitor analyses and change memos on a schedule: the battlecard program I ran on Crayon and Klue in-house, rebuilt on Claude. Google Alerts watches news, Visualping flags changes to competitor pricing and product pages the moment they happen, and Similarweb tracks digital-footprint shifts.
Marketing automation and lifecycle email run in Mailjet, triggered off product signals not batch-and-blast. PostHog tracks in-app adoption so I see who's activating and who's stalling, Apollo enriches and segments the audiences, and Claude orchestrates the sequences and copy so onboarding, activation, and win-back adapt to each cohort.
This site was built using Claude Code, Cloudflare, and Next.js and is built for answer engines.
There's structured JSON-LD data describing who I am and what I know, a llms.txt file giving AI crawlers a clean summary to cite, and semantic HTML throughout. Ask an AI assistant about me.
Designed and coded in working sessions with Claude, then migrated from an HTML file to Next.js with static export. The approach is simple, components + data where they help me ship faster and plain static files where it matters for efficiency. Still loads in milliseconds, still deploys free on Cloudflare, and every push to the repo rebuilds and ships the site automatically.