For revenue leaders
You cannot hire the GTM engineer
The role has been open for months, or the one person who held it just left with the system in their head.
What is usually wrong underneath
A GTM engineer combines data modeling, workflow tooling, and a working knowledge of how your sellers sell. Few people have all three, and the ones who do have options.
When the hire does land, the system they build often lives in one person's account and one person's memory. It works until they leave. Then the workflows break quietly, and nobody knows which ones mattered.
The durable fix is to treat the work as infrastructure rather than as a person: modeled data, documented workflows, and rules that enforce themselves. A hire can then operate and extend it, and you stop depending on any one individual.
What we do about it
This door opens into pipeline creation, foundation and governance, people and ramp.
- Signal detection. Account triggers built from your own data sources, not a list your competitors also buy.
- Dormant lead revival. Untouched leads scored and returned to sellers with a reason to call.
- Proprietary context layer. Win history, pricing, and customer records modeled so your tools can read them.
- Objection mining for ramp. Patterns from lost deals turned into onboarding material.
- Documented handoff. Runbooks and ownership transfer so your team operates the system without us.
The Pipeline Diagnostic
Every engagement starts with a fixed-price diagnostic. You keep the findings whether or not you continue.
Price and duration are not published yet
The diagnostic is fixed price and fixed length. Both numbers appear here once the pricing record is approved. We will not show a number we have not committed to.
What you walk away with
- A map of your revenue data and the points where it breaks
- A ranked list of fixes, each with the evidence behind it
- A review of what your current AI sales tools can and cannot see
- A scoped build plan you can run with us or without us
How it works
We read your CRM, enrichment, and sequencing data through scoped, read-only access, interview the people who run the tools, and trace where pipeline is lost between systems.
Data access
Read-only service accounts on credentials you own. Access is time-boxed, logged, and revoked when the diagnostic ends.
Who it is for
- Revenue leaders with a CRM and at least one AI sales tool in production
- Teams with an outbound motion and a named owner for revenue operations
Who it is not for
- Companies looking for an outsourced SDR team
- Teams without a CRM in production
- Anyone who wants a tool recommendation without touching their data
What happens after the diagnostic
Build. A small pod builds the ranked fixes inside your systems, on credentials you own.
Managed operations. If you want us to run the layer with your team, we do, under the same documentation you hold.
Migration. When a platform change is forced on you, we carry the rules that matter across and drop the ones that do not.
Ownership. You keep what we build: the data models, the workflows, and the documentation. Nothing depends on us staying.
Objections, answered
Why not hire a GTM engineer?
If you can find and keep one, do. A strong GTM engineer is the right long-term answer for many teams. The work stalls when the role takes months to fill, or when one person becomes the only one who understands the system. We build the layer, document it, and hand it to whoever you hire.
What happens when we do hire someone?
They inherit a documented system and a runbook, which makes the role easier to fill and faster to ramp. We can stay on for managed operations, or step away. That is your call.
Why not a retainer agency?
A retainer agency is a good fit when you need workflows run for you each month. It is a poor fit when the problem sits in your data model, because a retainer has no reason to fix the foundation and leave. We price the build as a project, and you keep what we build.
Will my CRM's built-in AI do this soon?
Partly, yes. Native CRM agents already handle summaries, basic scoring, and standard routing well, and they will absorb more. They work on the data inside the CRM. They do not model your win history, your pricing, or the sources that live outside it. That proprietary part is the layer we build.
What do we own at the end?
Everything. The data models, the workflows, the documentation, and the credentials stay in your environment. If you stop working with us, the system keeps running.
Related research
No research published for this situation yet
Limerine Research items tagged to this situation appear here when they are published.
Start with a fixed-price diagnostic
Five questions, then a booking. You leave the diagnostic with a ranked plan you can run with us or without us.