How we work

Fractional GTM engineering.

We support a small number of teams with hands-on, embedded GTM engineering. We sit with your go-to-market ops and leadership, work in your stack, and execute against the backlog you already know you need cleared.

Definition

GTM engineering builds the go-to-market infrastructure a revenue team is missing, and connects the tools that do not talk to each other.

It is a distinct discipline from RevOps, which manages and optimizes the systems a company already has. GTM engineering is the build function: enrichment pipelines, TAM mapping and scoring, buying-signal development, outbound infrastructure, agentic workflows, and the data layer underneath all of it. The work sits between engineering and revenue, and it requires both, which is why it is hard to hire for.

Data foundation

Verified contacts, accurate firmographics, enrichment that runs without burning credits

Data modeling

Scores, ICP attributes, and signal frameworks that predict who is actually in motion

Data activation

Workflows that turn a signal into a rep action or a campaign, automatically

What fractional actually means here

Fractional is about how you access the team, not how invested the team is. You get senior GTM engineering capacity on a fraction of the cost and commitment of building it in-house, and it shows up embedded: in your stack, in your tools, in the room with your team. Not a strategy deck delivered at the end of a discovery phase.

Versus hiring in-house

Two quarters to source, hire, and ramp one GTM engineer

A full engineering team pointed at your backlog in weeks

Versus an agency

A vendor running one channel on your behalf, at arm's length

GTM engineers working inside your environment against your roadmap

Versus consultants

Recommendations, a deck, and an invoice

Systems that ship, run in production, and your org keeps

Versus a contractor

One person, one skill, one narrow scope

Strategy, data, infrastructure, and execution from one team

ADJACENTyour orgvendordeliverablesEMBEDDEDyour orgrevenuegtm opsmarketingAstra
The difference is not effort or seniority. It is which side of the boundary the work happens on, and therefore how much context the people doing it actually have.

Who we embed with

We work directly alongside the people accountable for revenue, not around them. In practice that means three counterparts.

The backlog we clear

Most revenue orgs already know what they need. The list is rarely a mystery; it is a staffing problem. This is the work that tends to sit in it.

01Real-time enrichment pipelines, waterfalled across providers with credit spend controlled
02TAM mapping, account scoring, and prioritization that focuses the team on the right accounts
03Custom buying signals, plus the thresholds that make them actionable instead of noisy
04"Why now" summaries routed to reps where they already work, in CRM or Slack
05Outbound infrastructure: sending, deliverability, sequencing, and reply management
06In-person event and field program targeting, from list to follow-up
07ABM plays and multi-threading motions for in-flight deals
08Clay engineering and agentic workflows built on your own stack
09CRM hygiene, opportunity mining, and attribution your finance team can interrogate
10Experimentation behind new products, new markets, and new segments
the backlogin progress
  • Enrichment pipelineshipped
  • TAM mapping + scoringshipped
  • Signal thresholdsshipped
  • Why-now summaries to repsqueued
  • Event targetingqueued
  • CRM hygiene + attributionqueued
Nobody needs help writing this list. They need the capacity to work it.

The stack we engineer

Four layers, one system

Most teams have pieces of this running and no through-line between them. The value is in the wiring, not any single tool.

Activation

Where the work reaches a buyer

Email sequencingLinkedInPhoneEvents & fieldCRM tasks
Orchestrationwhere the leverage is

Claude as the interface. Skills and agents as the workflows. Context files as the knowledge they read.

ClaudeCustom skillsAgentic workflowsContext / MD files
Data layer

Sourced, enriched, scored, verified, kept clean

ClayEnrichment waterfallSignal engineScoring modelCRM hygiene
Providers & systems of record

Enterprise licenses across 15+ providers, under one contract

HubSpotSalesforceSnowflake15+ data providers

Data flows up, decisions flow down. A signal is only worth building if something at the top acts on it, which is why we build the two together rather than selling either on its own.

The orchestration layer

This is the part most revenue orgs have not built, and the part we get asked about most. The pattern we deploy looks the same whether the client is on Claude, Glean, or something else entirely.

  1. 01

    The interface

    Claude is what your team actually opens. It is the daily driver, not a system anyone has to be trained into.

  2. 02

    Skills and agents

    The workflows behind it. Research passes, enrichment routines, qualification logic, reply drafting, whatever the backlog calls for, built once and available to everyone.

  3. 03

    Context files

    The knowledge, ICP definitions, and SOPs the agents read before they act. This is where your institutional judgment gets encoded, and it is the piece that makes the output sound like your team instead of a model.

If you already run Glean or a similar layer internally, that is usually the interface and we build the skills and context underneath it. The interface is the easy part to buy. The layer under it is the work.

Tools we build on

Your stack, or ours if you do not have one yet

We hold enterprise licenses across these, so signing on gives you access under one contract instead of thirty vendor relationships. When you already run a tool, we build on it rather than migrating you off it.

Orchestration

The layer most teams have not built yet

ClaudeAnthropic APIClaude CodeMCPOpenRouter
Data & enrichment

15+ providers, waterfalled, credit spend controlled

ClayApolloZoomInfoLeadMagicBounceBanHarvestAPI
Systems of record

Where the truth lives, and where hygiene happens

HubSpotSalesforceSnowflakeAttio
Activation

Email, LinkedIn, and phone as one sequenced motion

EmailBisonInstantlySmartLeadHeyReachTrellus

How engagements are structured

We take on a small number of teams at a time, because embedded work does not scale the way a campaign vendor does. Engagements are built as partnerships, not projects.

kickoffmonth 3month 12+minimum engagementwhere most engagements actually run

3 months

Minimum engagement, renewable

12+ months

Where most engagements land

Small book

A limited number of teams at once

Teams we have done this work with, across AI, developer tools, defense tech, and B2B software.

Scale AI
CoderPad
Vapi
Dealroom
Spekit
Pricing I/O
OpusClip

Common questions

What is fractional GTM engineering?
An assembled GTM engineering team accessed on a fractional basis rather than hired. The team embeds with your go-to-market ops and leadership, works inside your existing stack, and executes against your revenue roadmap. It differs from a campaign vendor in where the work happens and in what stays behind: the systems and workflows remain with you.
How is GTM engineering different from RevOps?
RevOps manages and optimizes the systems you already have. GTM engineering builds the infrastructure you are missing and connects the tools that do not talk to each other. Many companies need both; they are not substitutes.
How does it compare to hiring a GTM engineer in-house?
Hiring takes 60 to 120 days before anyone touches the backlog, and produces one person with one skill set. GTM engineering spans data infrastructure, enrichment economics, signal design, deliverability, CRM architecture, and agentic workflows. A fractional team covers that span immediately but does not accumulate your context the way a full-time employee eventually will. The two are frequently run together.
What is the minimum engagement?
Three months, renewable. Most engagements run past twelve months, because embedded work takes that long to compound.
Do you run campaigns, or only build systems?
Both. Pure campaign execution is a supported mode, covering events, outbound, ABM plays, signal-triggered outreach, and cold-call execution lists.

If your GTM backlog is longer than your headcount plan

That is the problem we exist for. Bring us the list you have not been able to staff, and we will tell you honestly what we would build first.