Most GTM engineering is glued together from Zapier, Clay, and Airtable, and it breaks the moment you scale. We build it as code: product, CRM, billing, and support joined into one Commercial Memory in your warehouse, with routing, scoring, enrichment, and outbound shipped to your repo. One owned system, no tool sprawl.
We do the work. You own the machine. GTM engineering foundation live in month one.
GTM engineering treats pipeline as a system built on unified data and code-first workflows, not motions assembled by hand across disconnected tools. A GTM engineer joins product, CRM, billing, and support into shared models, then ships the routing, scoring, enrichment, and outbound workflows that run on top, into infrastructure you own.
Every workflow patch reports the revenue it touched in a weekly ROI report. Every report sharpens the memory. The GTM engineering system trends up, in infrastructure you own.
Consulting discovery asks your team to explain the funnel in workshops. AI Terrain Mapping runs both halves at once: interview agents debrief every GTM stakeholder while we read the CRM, product analytics, billing, and support systems directly. What the team believes about pipeline, compared against what the APIs prove, charted into a map your team can inspect and correct.
Output: the GTM terrain map, committed to your PATCH repo
The terrain becomes a source-traceable Commercial Memory in your warehouse: product usage, CRM, billing, and support joined into one lead-to-revenue model. Every pipeline answer traces back to source. Humans read it. Agents query it. Nobody argues with it.
Output: one revenue model your team and agents both trust
Memory shows what is true. Foresight shows what to do next. The system sweeps the pipeline and locks what should move: the PQL ready for a human, the expansion nobody owns, the renewal carrying risk.
Output: the queue of highest-leverage GTM actions
The next action becomes a workflow patch: lead routing, scoring, enrichment, outbound sequencing, cold outreach queues, lifecycle, alerts. Built, verified against live pipeline data, and landed in your repo. Production GTM workflows your team acts on the same week.
Output: a verified GTM workflow, live on your infrastructure
Every workflow patch reports back. What the system surfaced, what sales and success acted on, and the revenue it moved, trending week over week. The GTM ROI report reads like an instrument, not a slide deck.
Output: the weekly ROI report, revenue moved
The result feeds the memory. ICP definitions sharpen, scoring thresholds adjust, routing rules extend. The GTM system gets sharper every cycle, and it compounds in infrastructure you own.
Output: a sharper memory, and the next patch ships
GTM engineering without the headcount. Scope it in 20 minutes.
Book a 20-minute call
attio
stripe
snowflake
segment
postgres
slack
hubspot
mixpanel
intercom
zendesk
linear
bigquery
salesforce
posthog
amplitudeWe absorb your context, then deploy the GTM engineering foundation around it. Concrete by design: warehouse live, first workflow running, query surface working, code committed to your repo.
Your team names the GTM bottleneck worth fixing first. We chart the pipeline sources and stand up the warehouse and data model underneath it.
That bottleneck runs on real pipeline data, not a demo. Signal goes in, the right GTM action comes out, for your team.
Slack alerts and the query surface go live. Your team asks pipeline questions and acts, and we push changes between sessions as you learn.
Code committed to your repo, data in your warehouse. The GTM foundation is live, or your money back. Then we queue the next workflow patch.
You own the artifacts. You commission the work. Code in your repo, data in your warehouse, workflows on your infrastructure. It's the GTM engineering, RevOps, and analytics function you'd otherwise hire, running before you can justify the headcount. Enrichment runs at raw API cost, not per-credit markup, and there is no per-seat platform to sprawl. Cancel any month and the system keeps running. We keep it compounding.
Not a Notion deliverable. Running GTM engineering infrastructure across 30+ owned systems, operated weekly.
In 20 minutes you'll know which GTM workflow is worth building first, outbound, routing, enrichment, or lifecycle, where your data needs joining, and what it takes to ship it as code.
