Hire one LATAM operator. Get the output of two US hires — typically $80,000 to $120,000 in year-one margin saved. The seniors worth hiring are already employed at another agency and ignoring recruiters; we headhunt them, score them on a 3-level AI rubric, and run a 4-week post-placement program on reporting, automation, and churn prevention.
The candidates applying to your Indeed post are applying to thirty others the same morning. They have never used Claude for a QBR. They have never automated a client report. They leave for the next two-hundred-dollar raise.
By the time you find the three real candidates buried in the Indeed inbox, you have lost a Saturday and the good ones already accepted somewhere else.
They send enterprise SaaS résumés against an agency brief. The vocabulary is wrong, the work history is wrong, and the first 30 days are spent re-teaching what client work even is.
Active job seekers leave for the next active offer. Six weeks of your time, gone before they have run a single full reporting cycle.
Your new hire has never used AI for reporting, automation, or client communication. You are paying 2026 prices for 2020 skills.
30 days from brief approval to 2x output.
Currently-employed operators in your vertical. Not active applicants, not job-board candidates.
3-level AI aptitude rubric plus working-call vetting bar. Tool familiarity, prompt judgment, live workflow.
4 live 1-on-1 AI instructor sessions, weekly, for the first 4 weeks post-placement. Real human AI coach, not a self-paced course.
Sourcing, screening, AI vetting, and post-placement training are on us. You run two final interviews and pick the hire.
We ask the questions and draft the role brief. You do not write a job description.
Direct outreach to operators currently employed at agencies in your vertical. First profile in seven days.
Three AI-screened candidates in twenty-one days, with full profiles, Loom intros, and aptitude scores.
4 live 1-on-1 AI instructor sessions, weekly for the first 4 weeks post-placement. A real human AI coach covering client communication, reporting, automation, and churn prevention.
Every senior placement runs through 4 live 1-on-1 AI instructor sessions, weekly, across the first 4 weeks post-placement. Built and run by an operator using these workflows on live agency accounts.
Trained by an operator running AI-first agency operations daily. Not a course creator. Not a coach.
Every candidate runs a twenty-minute AI exercise during vetting, scored on three levels: tool familiarity, prompt judgment, and live workflow. We are not grading current mastery. We are grading learning speed and the ability to apply judgment to AI output.
Has used ChatGPT casually. Willing to learn. Needs guidance on prompting. The candidates who enter here, when paired with the rest of the rubric, tend to grow fastest in the program.
Uses AI weekly for drafting and analysis. Iterates on prompts. Catches AI errors instead of forwarding them to clients. This is the entry tier for the candidates we place.
Builds repeatable AI workflows. Can teach the rest of the team. By day thirty of the program, every placement operates here.
The exercise: a sample anonymized client dataset. Twenty minutes to draft a QBR summary with three recommendations using Claude or ChatGPT. We score comfort, prompting quality, iteration, and critical thinking.
Anonymized representative profiles from a recent search batch. Each links to the same dossier we deliver after vetting — experience, AI rubric pass-marks, daily stack, target comp.
Senior CSM · Paid Performance
Senior Project Manager · SEO
Senior CSM · Cold Email
Every operator has shipped paid client work in the stack your vertical depends on. We verify it on a working call, not a résumé. Week one of the program adds the AI layer.
C1+ English. Agency-trained. AI-screened. EST overlap. Every candidate, without exception.
Two seats by vertical: the senior CSM owns retention, reporting, and the client relationship. The senior project manager owns timelines, handoffs, and the delivery commitments that keep the work on schedule. Same vetting bar. Different seat.
$500 refundable deposit to start · credits to placement fee on hire
Example: senior CSM at a $36,000 base salary places at $7,200. Includes 3 vetted candidates in 21 days, 90-day replacement window, and 4 live 1-on-1 AI instructor sessions, weekly, for the first 4 weeks post-placement.
Junior CSM, Executive Assistant, or junior project manager. Vetted bench. Fourteen-day shortlist.
Same seat. Same $36K LATAM target salary, or its US-equivalent baseline. Different motion, different number on the bottom row.
Year-one totals: Vela = $36K LATAM contractor + $7,200 placement fee. US recruiter = $80K salary + $16K fee (20% of $80K). Job board / DIY = $80K US salary, no placement fee but no help and no replacement.
Worked example: a senior CSM at a $36,000 base salary. Vela placement fee is 20% of base, so $7,200. A US recruiter charging the same 20% of a US $80,000 salary lands at $16,000 before the salary delta even enters the math. The program targets 2x output by day 30. The cost of a bad hire ranges around $30,000 in wasted salary and ramp time before you even start over.
Every component priced at what it would cost you to source it standalone. Add it up before you compare the fee.
You run the part only you can run: the final interviews and the hiring decision. We run everything else.
Thirty-second cuts. Founder voice. Real placements, real results.
“We replaced two US hires with one Vela operator. The QBR decks come back better than what we used to ship to clients ourselves.”
“First profile hit my inbox on day six. The candidate I hired had already automated half the reports I was paying a senior to write by hand.”
“Three years of LinkedIn recruiter spam never produced one decent CSM. Vela placed two in a quarter. They both still ship.”
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Born and raised in Miami. Lived in New York. Eight years inside agencies in both cities, the kind of education that cannot be substituted. NYC shops with enterprise brands; one of them was acquired. Miami performance teams running hundreds of accounts. Cold email and lead-gen shops, full-service shops, niche specialist teams. I have worked the seat, managed the seat, and now lead the people in it.
Two years ago I started rebuilding customer-success operations around AI. Claude for reporting. n8n for workflow automation. AI-assisted churn prediction. The results changed how my teams work. Three-hour tasks became twenty-minute tasks. Reactive firefighting became proactive risk management. I have hired this role thirty-plus times, and I have watched what happens when the operator in the seat actually knows how to use these tools.
The thesis is straightforward. Job boards return the candidates who are actively looking, which is rarely the candidates worth hiring. The good operators are already employed at another agency, doing the exact role you are trying to fill. Reaching them requires a different motion, and most agency owners do not have the time to run it themselves.
Vela is that motion. We headhunt the operators who are not on Indeed, not on LinkedIn Jobs, and not replying to recruiters. We screen them for AI aptitude. Then we run 4 weekly 1-on-1 AI instructor sessions post-placement that turns them from agency-trained into AI-enabled. Same vetting bar everyone else claims. Plus the training.
— Jonathan
Jonathan, founder · Medellín · Miami · New York · Eight years inside agencies in both cities.
By search two, we already have your brief, your vetting criteria, your candidate archetype, and a warm bench. Search one runs twenty-one days. Search two runs ten. Search three, faster. The relationship compounds. So do the savings.
Fifteen-minute intake. First profile in seven days. Three AI-screened candidates in twenty-one days. $500 refundable deposit starts the search and credits to the fee on hire. Vela placement is 20% of the operator's year-one base salary and includes 4 live 1-on-1 AI instructor sessions, weekly, the first 4 weeks post-placement. Ninety-day replacement.