Go-to-market strategist, competitive intel nerd, and AI builder. I help companies wire actually working revenue engines — then ship the bespoke AI tooling that runs them.
Enterprise SaaS leader with 15+ years building and improving the revenue, go-to-market, product, and competitive engines behind public and private companies. I write strategy with one hand and ship AI tools with the other.
I'm the person companies call when their revenue engine is fragmented, their forecast is a vibes-based exercise, and they know AI should be helping but isn't yet.
What that usually looks like: a CRO who can't trust the number, a sales team running on six disconnected tools, a competitive landscape nobody has mapped in eighteen months, and an AI strategy stuck in the slideware phase. I come in, listen for a week, and then start rewiring — pipeline cadence, forecasting, enablement, competitive intel, the AI layer that ties it together.
At my current role I run RevOps and AI GTM Engineering. I architected the company's end-to-end revenue engine through 26%+ YoY growth, 20M+ platform users, and the first full year of positive Adjusted EBITDA. Built and operate Elixir — a revenue-grade AI layer that unifies Salesforce, Gong, Slack, Gainsight and external data into agents that run the deal cycle.
Before that: GTM & product marketing leadership at a publicly-traded digital experience platform, competitive intel and acquisition strategy at an enterprise work-management SaaS through its acquisition by a major software company, audience identity product at a national media & publishing group, and a long sales-then-product run at a digital experience SaaS.
Dovo Labs is where that all becomes available to other teams — GTM engineering, competitive intelligence, AI strategy, and custom AI tooling for B2B SaaS, healthcare, robotics, and work management companies. If any of that sounds like the problem you're staring at on a Monday morning, the booking link is right at the top.
Enterprise SaaS, public companies, a major acquisition, and a long earlier run that taught me the engine from sales-floor to roadmap. Names redacted on purpose — happy to walk through specifics on a call.
Some shipped, some retired, some still cooking. The unifying thread: AI that does the homework so the human shows up smarter.
Calendly's tubular cousin. Claude researches your guest from public sources, drafts a tailored agenda, and makes every booking actually worth showing up to. (Codename: Claudendly.)
A competitive intelligence Slackbot. Ingested win/loss, deal rooms, and battle cards; surfaced the right counter at the right moment in the rep's actual workflow. The seed of how I think about AI in revenue today.
Names redacted on purpose — most of this work touched live revenue strategy, M&A, or unreleased product. Here's the shape of it.
GTM engineering and revenue ops design for a clinical workflow platform. Forecast cadence, pipeline hygiene, and an AI assist for clinical buyer research.
Competitive intelligence framework + market landscape work for an enterprise robotics company. ICP segmentation, pricing signals, win/loss insight.
AI strategy and competitive positioning during a market re-positioning push. Built the playbook that the field actually used in deals.
Across a half-dozen B2B SaaS engagements: bespoke AI tooling for sales coaching, account research, and deal-cycle automation. Always tied to revenue, never to demo-ware.
GTM engineering, competitive intel, AI tooling for your revenue org, or just a chat about the space. Pick a time — Claude will do the homework before we talk.
Grab a slot → ethan