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GTM Engineering

for B2B SaaS

Scale your GTM without scaling headcount.

Your reps spend 60% of their time on research, follow-ups, and admin work. To double pipeline, you'd need to double headcount. We build systems that let your 2-person team produce what normally takes 5 people.

Scale your GTM without scaling headcount.

Your reps spend 60% of their time on research, follow-ups, and admin work. To double pipeline, you'd need to double headcount. We build systems that let your 2-person team produce what normally takes 5 people.

Work with us

01 - GTM isn't art, it's a system

The teams that scale aren't necessarily bigger. They're the ones who built systems that multiply what each person can do. Manual work scales linearly with headcount. Systems allow you to scale exponentially.

The Manual team

The teams that scale aren't necessarily bigger. They're the ones who built systems that multiply what each person can do. Manual work scales linearly with headcount. Systems allow you to scale exponentially.

The System-enabled team

Their market is monitored 24/7. Website visits trigger alerts with full account context. Every call is transcribed and analyzed for buying signals. Leads route to the right rep automatically - based on capacity, segment fit, and historical performance. Meeting prep and debriefs arrive before the AE finished their morning coffee.

02 - Common patterns we solve

We don't have a fixed menu. We find whatever manual work is blocking your GTM throughput and automate it.

Here are some examples of what that could mean:

Signal-based outbound

We start from first principles: what problem do you solve, what data points connect to that problem? Then monitor everything - intent data (website visits, LinkedIn engagement, open source activity), signal data (supply chain changes, market volatility, operational shifts that indicate the problem exists/ is getting worse), and trigger data (job changes, funding, expansion that creates buying windows). Targets appear when the problem exists/ changes, they're showing awareness, or a window opens - not from static demographic lists.

Customer Intelligence

Mimics how humans learn: every customer interaction generates hypotheses, every new data point validates or rejects them. After each call, an agent classifies the conversation, reads existing hypotheses, generates new ones, updates the database. All reps' learnings compound into one continuously validated knowledge base. Critical for finding product-market fit faster. Every other system queries this for "what's true about this company/persona?" - your GTM runs on validated intelligence, not static assumptions.

Buying committee mapping

Pull all contacts broadly (cast wide net), store in database, then agent selects actual buying committee using customer intelligence + real-time LinkedIn data. Enterprise titles don't map to roles consistently - "VP Platform" at one company is "Head of Engineering" at another. Agent understands context, not just keywords. 2-3 hours of research per account → automated, catches personas you'd miss manually (especially useful in Enterprise motions).

Other examples;

Meeting Prep

Consolidated brief with CRM history, recent calls, LinkedIn activity, and company news…

Post-call debrief/ follow-up

Meeting ends, summary auto-generated, CRM updated, follow-up email drafted, next steps identified.

Pipeline health monitor

Monitors deals for stalling signals, churn risk, engagement drops - alerts when deals need attention.

Support auto-drafts

Support ticket arrives, agent pulls similar past tickets + knowledge base, drafts response for rep to review and send.

We're constraint-driven, not menu-driven. Your bottleneck might be qualification scoring, deal handoffs, pipeline review prep, or something we haven't seen before. We map your funnel, find your constraint, and build the system that solves it.

03 - How we work

Map your constraint

We analyze your funnel to find where flow dies. Not from a pre-defined list - we look at your actual data. Research time? Routing logic? Handoff friction? Something else entirely? We start with the biggest bottleneck.

Build the system

we ship one production system every 2 weeks that directly attacks that constraint. Live code, real data, integrated with your tools. You own everything we build.

Measure the impact

Every system comes with dashboards showing time saved, throughput increase, conversion impact. No guessing if it worked - the numbers tell you.

Move to next constraint

Once that bottleneck is solved, the data shows where the new constraint moved. We attack that one next. Repeat until you're at 2-3x output (and get to 10x from there).

04 - Who we work with

B2B SaaS scaling GTM with:


  • €1-10M ARR - Scaling phase, past founder-led sales

  • Complex domains - Supply chain, procurement, workforce planning - deep research required

  • Funded and/ or building the team - Hiring first GTM roles or scaling from 2→10 people

05 - Pricing

Plans:

Standard

€5,000/mo

2-week cycles

2 releases/month minimum

Accelerated

€8,000/mo

1-week cycles

4 releases/month minimum

Ownership

Everything runs on your infrastructure. You own all systems, data, dashboards, and documentation. We build with n8n, custom code, Neon, and AI models/APIs.

Start dates

We start in Jan / Apr / Jul / Oct cohorts.

Engineer your GTM with us

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