A pre-vetted, AI-fluent GTM Engineer, embedded full-time in your team for $5,000 per month, all-in. We handle employment, payroll, compliance, and ongoing training. You get someone building inside your revenue stack within two weeks.
The role is barely three years old. There is no degree for it, no bootcamp pipeline, and no bench of senior candidates. The people who can do this work are self-taught, young, and fielding multiple offers.
Companies like Vercel and OpenAI pay $250K and up for the same profile you're trying to attract. Most companies spend months searching, then settle for a junior tool operator and expect senior judgment.
A GTM Engineer sits at the intersection of sales, marketing, and engineering. They don't run campaigns and they don't close deals. They build and maintain the systems that let your team do both, faster.
Clean data, pipeline stages, automations, and reporting in HubSpot or Salesforce that your team actually trusts.
Domains, inboxes, deliverability, and sequencing set up properly, so your emails land and your primary domain stays safe.
Clay, Apollo, and waterfall data keeping every account clean and every lead in front of the right rep.
Lead scoring, automated research, personalization at scale, meeting prep, and follow-up that runs without a human pushing buttons.
Pipeline visibility and funnel conversion in front of the team every week.
Attribution, forecasting, and territory logic that keeps the whole machine honest.
If your SDRs spend more time building lists than selling, if your reply rates sit under 2% and nobody knows why, or if your CRM is a graveyard of stale records โ this is the person who fixes it.
Palantir proved the model: put an elite technical person inside the client's environment and let them build in real time, instead of delivering reports from a distance. We apply that model to the GTM function.
Your GTM Engineer works full-time inside your team. Your stack, your Slack, your standups, your pipeline number. They are not a consultant who leaves a deck behind, and not an agency splitting attention across ten accounts. One person, forty hours a week, accountable to you.
If the engagement ever ends, the systems stay.
No job posting. No recruiter fees. No new headcount to justify.
A 20-minute call to map your stack, your motion, and what the first 90 days should deliver.
Day 1We present pre-vetted candidates from our GTM Engineer network across Latin America, all with full US-timezone overlap. You interview and choose.
Days 2โ10Your engineer joins your team full-time. We handle contracts, payroll, benefits, and compliance in their country. You send one invoice payment a month.
Day 14We keep training them on the newest tools and AI workflows while they build for you:
Every talent company now says "AI-fluent." Nobody tests for it. Resumes claim tool experience, certificates prove someone passed a quiz. We built the assessment the market is missing โ before we present any candidate, they complete a three-part practical test built on real work.
Given a real work problem, solve it with an LLM. Scored on clarity, context, iteration, and output quality.
Given a manual process, rebuild it around AI. Scored on structural judgment: where AI belongs, and where it doesn't.
Given AI-generated work with planted errors, find what's wrong and fix it.
The method is grounded in 2025 Carnegie Mellon and US Navy research showing that scenario-based testing, and only scenario-based testing, predicts real-world AI performance. Candidates who score Proficient or above on all three dimensions earn the TGTC AI Fluency Certificate. See the full testing process โ
A comparable US hire costs $12K or more per month once salary, benefits, and overhead are counted, after a three-to-six month search. A GTM agency retainer runs $5K to $10K per month for a shared team on capped hours. Fractional RevOps costs about $5K per month for roughly six hours a week.
| US full-time hire | GTM agency | Fractional RevOps | TGTC | |
|---|---|---|---|---|
| Monthly cost | $12K+ | $5โ10K | $5K | $5K flat |
| Hours per week | 40 | Capped, shared | ~6 | ~40, dedicated |
| Time to start | 3โ6 months | 2โ4 weeks | 1โ2 weeks | 2 weeks |
| You own the workflows | Yes | Usually not | Sometimes | Always |
| Employment overhead | All yours | None | None | None โ we employ them |
| AI fluency verified | No | No | No | Yes โ tested |
Your TGTC GTM Engineer is $5,000 per month, all-in. Full-time, embedded, and yours. Most clients save $90K to $120K per year against a comparable US hire โ and the savings are the second-best part. The best part is that the role gets filled at all.
The market already ran that experiment. Companies bought autonomous AI SDRs, watched them burn sending domains and flood prospects with noise, and largely went back to humans. The tools were never the problem. The missing piece was a person accountable for what the tools do.
A GTM Engineer is that person. They run Clay, the agents, and the automation for you, with judgment about what ships and what doesn't. A human who wields the AI, instead of an AI pretending to be a human.
Audit and clean the CRM. Stand up outbound infrastructure properly: domains, inboxes, deliverability. Map the stack and define your ICP and signals.
Enrichment and lead-routing workflows go live. First signal-based outbound sequences start running. Pipeline dashboard v1 in front of the team.
AI workflows for scoring, research, and personalization. Two or three automated systems tied directly to pipeline. A weekly reporting cadence with owned numbers.
Our clients are CROs, VPs of Sales, RevOps leaders, and founders at B2B SaaS companies between Series A and C. Most have already tried to hire a GTM Engineer and discovered what the market looks like. The rest have a revenue stack held together with manual work and know it won't scale to the next stage.
If you're spending on tools that nobody has time to wire together, this is the hire that makes the rest of the stack pay for itself.
The market can't produce enough GTM Engineers. We can. A verified, AI-fluent engineer, embedded in your team in two weeks, at $5,000 a month all-in.