Oslo · Norway · Nordics

GTM Engineer — Oslo

The role that enhances your sales team. A GTM engineer doesn't work your list — they build the system that finds, qualifies, and works it for you, so your reps spend their time selling. Pipeline stops being a function of hours worked and starts being a function of infrastructure.

Hire a rep: output scales with hours·
Hire another rep: cost scales again·
Rep leaves: the process leaves too
Build once. It keeps running.

What it is

Part operator. Part systems builder.

A GTM engineer sits in the gap between marketing, sales, and data — a gap that didn't need filling until the tooling got good enough to automate the entire middle of the funnel. They don't write campaigns and they don't work accounts. They build the machinery that does both.

Signal capture, enrichment waterfalls, scoring logic, routing rules, sequences that fire on intent rather than on a schedule. Each piece is engineered once, tested against real reply data, and then left to run.

The deliverable isn't a strategy deck or a campaign calendar. It's infrastructure that produces qualified pipeline every week without anyone touching it.

Sits betweenMarketing · Sales · Data
Core stackClay · Apollo · Instantly · HubSpot
OutputRunning system, not campaigns
EnhancesThe sales team you already have
Time to first pipeline2–4 weeks
You ownEvery table, workflow and sequence

Why it works

Headcount adds. Systems multiply.

The case for GTM engineering isn't that automation is cheaper than people. It's that the two scale on completely different curves.

01

Leverage

A rep works one account at a time. A system works your entire addressable market at once — and the marginal cost of the next thousand accounts is effectively zero.

02

Precision

Scoring runs on every record before a human sees it. Reps stop spending their week on accounts that were never going to buy, and pipeline quality rises without anyone working harder.

03

Compounding

Manual motions reset every Monday. An engineered one accumulates — each cycle of reply data makes the targeting sharper, so month six materially outperforms month one on the same spend.

The difference

The manual motion vs. the engineered one

Most B2B teams in Oslo are running a 2019 playbook with 2026 tools — the software changed, the motion underneath it didn't. This is what actually moves.

StepManual motionEngineered motion
Finding accountsReps search manually, one at a timeSignals surface accounts automatically
QualifyingGut feel, inconsistent across repsScored against a defined ICP model
EnrichmentCopy-paste from LinkedIn and ProffWaterfall enrichment, no manual step
TimingWhenever a rep gets to the listThe moment intent fires
Follow-upDrops when reps get busyRuns regardless of workload
Scaling outputHire another repWiden the signal net
If someone leavesTheir process leaves with themThe system stays and keeps running

What a GTM engineer builds

Four layers. One system.

01

The Signal Layer

Buying intent leaves a trail long before anyone fills in a form. A GTM engineer instruments the sources that catch it — anonymous visitor identification, pricing-page views, hiring signals, tech-stack changes, funding events — and turns them into structured triggers.

  • Anonymous visitor identification
  • Intent & pricing-page triggers
  • Hiring and funding signals
  • Tech-stack change monitoring
02

Enrichment & Scoring

A raw signal is not a lead. Enrichment waterfalls resolve the company and the buying committee behind it, then a scoring model grades every record against your ICP — so the bad ones never reach a rep in the first place.

  • Clay enrichment waterfalls
  • Buying-committee resolution
  • Firmographic ICP scoring
  • Automatic disqualification rules
03

Routing & Execution

Qualified records route themselves — to the right owner, into the right sequence, at the moment intent is highest. Sending infrastructure, deliverability, and CRM sync are engineered once and then simply run.

  • Owner assignment logic
  • Intent-timed sequence entry
  • Sending infrastructure & deliverability
  • CRM sync (HubSpot / Pipedrive)
04

The Feedback Loop

Every reply, booking, and closed deal is data. It feeds back into scoring and targeting, so the system gets sharper each month instead of decaying — the part that separates infrastructure from a one-off campaign.

  • Reply and conversion data captured
  • Scoring model retrained on outcomes
  • Targeting refined by segment
  • Live pipeline dashboard

Who this is for

You probably need one if —

Your reps spend more time building lists than talking to buyers.

Traffic arrives, skims, and leaves — and you never learn who it was.

Lead quality is inconsistent because qualification lives in people's heads.

Your CRM fills up with records nobody scores, owns, or follows up.

Growth currently means hiring another rep, and the maths has stopped working.

You have the tools — Clay, HubSpot, Apollo — but nothing is wired together.

Common questions

What is a GTM engineer?

Someone who builds the systems that generate pipeline rather than working leads by hand. They sit between marketing, sales, and data — capturing buying signals, building enrichment and scoring logic, and wiring automated routing and sequences. The output is running infrastructure, not campaigns or call lists.

How is this different from hiring an SDR?

An SDR works a list, and their output scales linearly with hours worked — it stops when they stop. A GTM engineer builds the system that produces and qualifies the list automatically. One build serves every account in your market at once, and it keeps running after the engagement ends.

How is a GTM engineer different from RevOps?

RevOps generally maintains and reports on systems you already have — CRM hygiene, forecasting, process. A GTM engineer builds new demand infrastructure: signal sources, enrichment waterfalls, scoring models, outbound execution. They overlap on tooling but differ on outcome — one keeps the machine clean, the other builds it.

What does the stack look like?

Typically Clay for enrichment and waterfalls, visitor identification for anonymous traffic, Apollo and similar databases for coverage, Instantly or comparable for sending infrastructure, and HubSpot or Pipedrive as the system of record. The tools matter far less than the logic connecting them.

Do we need this if we already have a sales team?

That is usually when it pays most. A sales team without a system spends its time finding and qualifying instead of selling. A GTM engineer removes that work, so reps only ever see accounts that already match your ICP and have shown intent.

Who owns the system afterwards?

You do. Every Clay table, workflow, scoring model, sequence, and dashboard is built in your accounts and documented for your team. The engagement is designed to build capability, not dependency.

Further reading

Oslo & the Nordics

Stop working the list.
Build the system that works it.

30 minutes · No deck, just the system