GTM engineering instead of hiring a data team
Early and lean teams feel the data problem first and have the least capacity to fix it. Mapping a TAM, building scoring, wiring enrichment into the CRM, and standing up automations spans data engineering, analytics, and CRM administration — three skill sets one junior hire rarely has, against data that decays about 30% a year whether or not anyone is maintaining it. Instead of onboarding several juniors who take months to ramp, you embed senior operators with 20+ years of combined GTM experience. Datum is that function on demand: we build and run the systems, so a small team operates like one with a full bench.
When you're lean, every hire is a bet with a long feedback loop. A junior RevOps or data hire is cheaper on paper but slow to ramp and easy to misdirect; a senior one is expensive and genuinely hard to find. Either way, while you decide, outbound runs on whatever a single tool happens to have.
Datum slots in as that capability without the headcount — senior people who have built this before, doing the sourcing, scoring, automation, and CRM work an in-house team would, scoped to what you actually need now rather than to a job description.
The role you're trying to hire doesn't exist as one person
Read a few GTM engineer or RevOps job descriptions and you'll notice they're asking for three or four people. Data engineering: building and maintaining pipelines, sourcing, enrichment chains, entity resolution. Analytics: defining metrics, building the reporting, fitting and validating a scoring model. CRM administration: schema, validation, routing, permissions, integrations. Often software engineering on top, for the automations and internal tools.
Some people genuinely cover two of those well. Very few cover three, and the ones who do are expensive, in demand, and rarely looking. So the realistic hire is someone strong in one area who will be learning the others on your time — which is fine if you have the time, and painful if the reason you're hiring is that you don't.
The other failure mode is quieter: you hire well, and the person spends their first two quarters on cleanup and integrations rather than on the sourcing and scoring work you hired them for. That's not a bad hire, it's a sequencing problem — but it looks identical from the outside, and it costs the same.
What this usually looks like
- Founder-led GTMThe founder is still running prospecting between everything else, and it's the first thing dropped in a busy week.
- Tool sprawl, no systemYou're paying for three data tools and still copy-pasting between them.
- Hiring is the bottleneckYou can't justify a senior RevOps hire yet, and juniors would need managing by someone who's also busy.
- Nobody owns the CRMEveryone edits it, no one maintains it, and reporting is already something people argue with.
What we do first
- 01We start with the smallest scope that produces scored pipeline, not a twelve-month roadmap: capture the data you're actually missing, score what you already have, and wire the CRM so it stops decaying.
- 02We work in your stack and document as we go — field naming, data dictionary, how each pipeline runs and where it can break — so nothing depends on us being in the room.
- 03We hand off cleanly when you do hire. Everything is in systems you control with the reasoning written down, so a new RevOps or data hire inherits a working system on day one instead of an archaeology project.
What we'd do in a first month
Week one is diagnosis rather than building. We read your CRM, look at what's actually in it, work through closed-won and closed-lost history, and talk to whoever is doing prospecting by hand today. The most useful output of that week is usually a short list of things that are producing wrong numbers right now, some of which are cheap to fix immediately.
Weeks two and three are the first build, deliberately narrow. That's usually one of three things depending on where the pain is: capture and enrichment for a segment your tools don't cover, a first scoring pass on the accounts you already have, or the CRM foundations if reporting is so unreliable that nothing built on top would be trusted.
Week four is delivery and feedback. Scored accounts land in the CRM, reps work them, and we find out what was wrong with our assumptions — which there always is. From there it becomes a loop rather than a project, and the scope widens only as fast as the results justify.
Cost, honestly compared
The comparison people usually run is our fee against a salary, which flatters neither side accurately. A hire carries recruiting time, ramp, employment costs, management overhead, and the risk that they're wrong for the role — and the ramp is the expensive part, because it's paid in months where the systems still aren't built.
An embedded team carries none of the ramp and none of the hiring risk, and can be scoped down or stopped. It costs more per hour of attention and it doesn't build institutional knowledge inside your company the way an employee does. That last point is real, and it's why we document as though a hire is coming, because usually one eventually is.
The honest framing is sequencing rather than substitution. Embedding is the right answer when the systems don't exist and the work spans more disciplines than one hire covers. Hiring is the right answer once the systems exist and the job becomes running and extending them. Plenty of engagements are exactly that arc, and we'd rather be part of a clean handoff than a permanent dependency.
Common questions
If you know who you sell to and have something to sell, you're not too early. We scope to your stage — for a lean team that often means one focused system rather than a sprawling build, and we'd rather start narrow and earn the next piece.
You get a working system and the documentation to run it: field definitions, how each pipeline works, where it can break, and why the scoring model uses what it uses. Everything is already in your stack. Most handoffs are a few weeks of overlap, and a lot of our engagements are designed to end this way.
Yes. A single scoped build — one capture, one scoring pass, or the CRM foundations — is a normal starting point and a fair way to test the working relationship before committing to anything ongoing.
The people who scope the work are the people who build and run it. There's no account manager relaying messages to a delivery team you never meet, and no junior pod doing the work behind a senior name on the proposal.