Hands-on GTM Engineer · I ship Revenue systems for B2B SaaS


Signal-based outbound. CRM as a revenue OS. Built and shipped by someone who's done it from €1M to €2.5M ARR.

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A fintech hired 4 compliance analysts to handle B2B onboarding. Eighty days per customer. They weren't slow, they were doing the wrong thing at the wrong time.

We replaced the manual process with signal-triggered automation tied to regulatory validation. Onboarding dropped to 6 days. The team shrank to one person doing spot-checks.

That's the pattern: most SaaS teams don't have a lead problem. They have a timing and prioritization problem. I build systems that fix it.

We’ll identify the highest-leverage bottleneck in your revenue motion.

Free 15-minute call. No pitch deck. Let’s see if we’re a fit.


Why founders trust me

  • Scaled a bootstrapped B2B SaaS from €1M to €2.5M ARR as Head of Growth. Built the team, the channels, and the entire growth engine
  • Recognized by Google as a Top Performing Agency.
  • Technical enough to build and ship: n8n, Clay, HubSpot, Salesforce, ClaudeCode.
  • Worked with developer-led products (40% dev audience)
    I speak both business and engineering


How I turn random GTM into predictable revenue

For B2B SaaS teams with traction that are tired of guessing.

System 1: Signal Pipeline

Sales talks to people who are actually in a buying window.

The problem
Most SaaS teams don’t have a lead problem.
They have a timing and prioritization problem.

Sales reps waste time on:

  • chasing accounts that aren’t ready
  • following up on leads that were never a fit
  • working pipeline that never converts

The result is wasted time and unpredictable outcomes.

What I build
I design a pipeline that starts from signals, not lists.
Signals → Enrichment → Qualification → Routing → Sales

That means:

  • Defining what “buying intent” actually looks like for your SaaS
  • Detecting those signals across accounts and contacts
  • Enrich, qualify, and route only high-probability opportunities to sales

What changes 5–10 hours per week reclaimed per sales rep. Fewer conversations, higher close rates. Pipeline you can explain.

System 2: CRM as Revenue OS

Stop guessing why you grew (or didn't).

The problem
Revenue moves but you don't know why. CRM stages don't reflect reality. Forecasts are unreliable. Attribution tells a story, not the truth.

What I build
I turn the CRM into a revenue operating system, not a contact database.
Pipeline → CRM → Attribution → Forecast → Decisions

That includes:

  • Lifecycle stages tied to real customer actions
  • Automation that reflects how deals actually progress
  • Attribution that shows what influences revenue

What changes Revenue shifts become explainable. Forecasts become a planning tool. Growth conversations move from gut feel to tradeoffs.

How both systems work together?


Signal Pipeline (S1) decides:

who is worth talking to and when.

The CRM as Revenue System (S2) makes sure:

nothing gets lost, distorted, or misinterpreted once that attention turns into deals.

Together:

They convert existing market demand into predictable outcomes.


How I work

I don’t start with long retainers or endless calls.
We start by fixing something real.

Phase 1: The Mission (2 weeks)

A short, focused engagement. One objective, hands-on implementation, shipped in 14 days.

$2,000. Fixed scope.
The goal is simple: deliver tangible value fast and validate fit.

Phase 2: Build & Expand (Monthly)

If the Mission works, we continue. Expand the systems, remove emerging bottlenecks, improve pipeline quality and revenue predictability.

Starting at $5k/month, scope determines the final number.
Most engagements run 3–6 months.

Tools I ship with

Tools I ship with: n8n, Clay, Salesforce, HubSpot, OpenAI, and Claude.
Real systems, built in n8n + Clay + your CRM.

Book a free 15-minute call. We'll look at your current GTM motion and identify where the biggest gap is.