Where field sales
meets engineering.
8 years closing enterprise B2B deals. Now I build the automated revenue systems I always wished I had. Clay, HubSpot, n8n, Make.com — signal-based, A/B tested, built to compound.
Build. Run.
Sell.
The rarest profile in GTM: someone who has held quota for 8 years and can also wire your entire revenue stack. I don't just know what good looks like — I've lived it and built it.
Less stack.
More revenue.
Most B2B sales orgs suffer from the same disease: too many tools, too little thinking. The average company runs 17 sales and marketing tools — fewer than 30% of which talk to each other. The answer isn't another tool. It's focused architecture, AI where it earns its place, and execution driven by real data.
Before adding anything, I audit what you have. Most orgs can eliminate 40–60% of their tools and get better results. Fewer integrations means fewer failure points, cleaner data, and faster iteration.
AI isn't a strategy. It's a tool. I use it for enrichment logic, personalisation at scale, and scoring models — not as a shortcut for thinking. Every AI layer is validated against real conversion data before it runs at scale.
Every sequence, subject line, send time, and ICP segment is tested against a control. I run structured experiments — not gut-feel pivots. What gets measured gets improved. What doesn't, gets replaced.
8 years in quota-carrying sales roles means I know what breaks in the field — not on a whiteboard. Every system I build is stress-tested against real objections, real gatekeepers, and real deal cycles.
Engineered to convert.
Optimised to compound.
I design and connect your full revenue stack — from signal capture to enrichment, scoring, sequencing, and CRM sync. Built to run automatically, maintained to keep running.
I build trigger systems that monitor hiring signals, funding rounds, technographic changes, and intent data — so your outreach fires at exactly the right moment, every time.
From ICP definition to messaging architecture to cadence design — I build the playbook and then automate it. No theory. A playbook your team will actually run.
From raw signal to closed deal.
Every layer of the funnel is engineered, connected, and automated. No gaps. No manual bridges. This is what a modern GTM system actually looks like under the hood.
I monitor the market 24/7 across six signal categories. Each fires a trigger before competitors have even opened their CRM.
Raw signals are enriched with firmographic, technographic, and contact data. Every account is scored against your real closed-won ICP — not a spreadsheet guess.
The connective layer. Signals trigger workflows, workflows route leads, leads enter sequences — all without a human touching it. This is where most orgs break. This is where I come in.
Every message references the specific signal that triggered it. Claude and OpenAI generate personalised copy at scale — grounded in real context, reviewed before it sends.
Replies route automatically into CRM with full context attached — signal, enrichment, engagement history. Your AE picks up a warm lead, not a cold name on a list.
Numbers from the field.
Full-cycle B2B outbound for OEB Global Conference — from ICP definition to closed contracts.
Trigger-based workflows built on hiring signals via Stepstone — outreach timed to the moment, not the calendar.
Technical consultative selling at CoachHub — translating complex needs into pipeline and hitting €921k annual target.
Let's talk about
your GTM challenges.
Open to GTM Engineer and RevOps Lead roles. Berlin-based, open to remote across Europe. 30 minutes, no formalities.