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LATAM REVENUE OPERATIONS

Hire Vetted GTM Engineers from LATAM. Free replacements for 24 months.

Technical builders who architect and automate your entire go-to-market stack — outbound pipelines, lead scoring, data enrichment, AI workflows, and revenue reporting. Matched in 48 hours. 24-month replacement guarantee.

10,500+

Placements over 10 years

48 hours

Match SLA

24 months

Replacement guarantee

Expensify · Apollo.io · Vonage · GetAccept

Anchor customers

Expensify
Apollo.io
Vonage
GetAccept

4 anchor customers. 28 combined years. Still hiring.

Every candidate is scored on 7 retention dimensions

We don't just match on skills. We predict who stays.

AI Readiness
Communication
Long-Term Upside
Marketplace Readiness
Role Fit
SaaS Readiness
Tool Fluency

Tell us what you need

2 minutes. No commitment. Get matched in 48 hours.

Which role are you hiring for?

What your GTM Engineers will do

A GTM Engineer is the technical operator who replaces 2-3 ops hires. They write code, connect APIs, build AI workflows, and deploy the automation infrastructure that turns your GTM stack from a collection of tools into a working system. #1 fastest-growing role in B2B GTM (+205% YoY). The Architect tier — $4,200–$5,200/mo — is the retention sweet spot.

Typical profile

Experience

4+ years of GTM infrastructure experience — code, APIs, and AI workflow deployment

Core skills

Outbound pipeline automationLead scoring and routingAPI integrationsAI workflow deploymentCRM architectureRevenue reporting infrastructure

Tools

PythonJavaScriptClayApolloHubSpotSalesforceZapiern8nMakeREST APIs

Availability

Full-time, US business hours

$4,200–$5,200/mo

GTM Engineer (Architect tier) — Role Intelligence Brief rate

48hr

Matched and interview-ready

21 days

First system in production

Ready to hire?

GTM Engineers matched in 48 hours

No cost to get started. Tell us what you need and we will curate your shortlist.

A day in the life of your GTM Engineers

Automated outbound pipeline

Build prospect enrichment, AI-personalized sequencing, and CRM logging pipelines that replace manual SDR research entirely.

ClayApolloHubSpot +1

Typical output

Outbound pipeline running autonomously. SDRs focused on conversations, not copy-paste.

Lead scoring and routing

Build behavioral and firmographic scoring models that route hot leads to sales automatically and nurture the rest without human intervention.

HubSpotSalesforcePython +1

Typical output

Leads scored and routed in real time. Zero manual triage by sales reps.

Data enrichment workflows

Build Clay, Apollo, or custom API pipelines that keep CRM data fresh, accurate, and actionable — firmographic data, intent signals, contact verification.

ClayApollon8n +1

Typical output

CRM enriched continuously. Data quality maintained without manual effort.

AI-powered content and outreach

Deploy LLM-generated email personalization, automated research briefs, and AI agent workflows that scale 1:1 outreach across thousands of prospects.

PythonJavaScriptClay +1

Typical output

Personalized outreach at scale. AI-generated research briefs for every rep conversation.

Revenue reporting infrastructure

Build pipeline dashboards, conversion funnels, and attribution tracking from scratch — connected directly to your CRM, not a BI tool nobody maintains.

HubSpotSalesforcePython +1

Typical output

Revenue reporting infrastructure owned by the team, not dependent on a consultant.

When to hire GTM Engineers

Common scenarios where LATAM GTM Engineers deliver outsized ROI.

Replacing 2–3 hires with one builder

Seed to Series B startups need SDR tooling admin, RevOps analyst, and automation specialist. One GTM Engineer ships systems instead of reports. Net savings: 2 headcount.

Team size: 1 GTM Engineer
Timeline: 21 days to first systems in production

Outbound is manual and unscalable

SDRs spend 30% of their time on research and data entry. A GTM Engineer automates enrichment, sequencing, and CRM logging so reps focus on conversations, not copy-paste.

Team size: 1 GTM Engineer
Timeline: 2 weeks to first pipeline live

GTM stack exists but nothing is connected

HubSpot, Apollo, Clay, and Outreach all running independently. A GTM Engineer builds the integration layer that makes the stack a system, not a collection of tools.

Team size: 1 GTM Engineer
Timeline: 30 days to full stack integration

Why companies trust CloudTask

Pre-vetted GTM Engineers professionals with verified skills, confirmed availability, and a replacement guarantee.

Replacement guarantee

24-month free replacement guarantee on every hire.

Human-managed matching

Every match reviewed by our team. AI assists, humans decide.

Interview-ready

Cover video, verified skills, confirmed availability.

Availability confirmed

Verified within the last 30 days.

GTM Engineers verified

Experience confirmed through work history and assessment.

LATAM specialists

10,000+ GTM placements across Latin America and the Caribbean.

10,000+

GTM hires placed

4x

Inc. 5000 honoree

48hrs

Time to first matches

85%

90-day retention

How it works

1

Tell us what you need

2-minute qualification. No commitment.

2

Get vetted matches

3-5 curated candidates within 48 hours.

3

Interview and hire

We handle scheduling, logistics, and onboarding.

GTM Engineers ready to start

Vetted, available, and experienced. Sign up to see exact rates and book interviews.

Sebastián
Top Rated+
Available

Sebastián

GTM Engineer (Architect)

COLColombia
PythonClayHubSpotn8nNative/Bilingual
View Full Profile
Camilo
Top Rated
Available

Camilo

GTM Infrastructure Engineer

MEXMexico
JavaScriptSalesforceApolloMakeFluent (C1)
Natalia
Top Rated+
Available

Natalia

GTM Automation Architect

ARGArgentina
PythonClayZapierREST APIsFluent (C1)
"Our GTM Engineer replaced what would have been 3 separate hires. In 21 days they had our outbound pipeline automated, our CRM enriched, and our reporting dashboard live. Nothing had to be explained twice."

Alex

CEO, Series A SaaS, 35 employees

Case study

How a 35-person Series A replaced 3 ops hires with one LATAM GTM Engineer

3 hires replaced. Outbound pipeline, CRM enrichment, and reporting live in 21 days.

A Series A SaaS had an SDR team with no automation — reps spent 30% of their time on manual research, data entry, and CRM updates. After hiring a LATAM GTM Engineer through CloudTask, they automated prospect enrichment via Clay, deployed an AI-personalized sequencing pipeline, built real-time CRM logging, and shipped a pipeline attribution dashboard. The engineer replaced the need for a RevOps analyst, an SDR tooling admin, and an automation specialist. Total headcount savings: 2 hires.

Common questions about hiring GTM Engineers

What does the 24-month replacement guarantee cover?

If your hire leaves, underperforms, or isn't the right fit within 24 months of placement, we replace them at no additional cost. This is backed by our Role Intelligence System which scores every candidate on 7 retention dimensions before match.

Why LATAM?

US business hours alignment, and LATAM GTM talent has 24-month average tenure with our buyers. We've placed 10,500+ professionals over 10 years with anchor customers like Expensify, Apollo.io, Vonage, and GetAccept staying 5 to 8+ years.

How does CloudTask predict retention?

Every candidate is scored across 7 dimensions tied to long-term fit: AI Readiness, Communication, Long-Term Upside, Marketplace Readiness, Role Fit, SaaS Readiness, and Tool Fluency. Trained on 10,500+ placements over 10 years.

What is the difference between a GTM Engineer and a RevOps Manager?

A GTM Engineer writes code, builds integrations, and deploys AI workflows — they are a technical builder. A RevOps Manager designs processes, manages tools, and owns revenue operations strategy. GTM Engineers build the infrastructure that RevOps Managers operate. At startups, one GTM Engineer often replaces the need for a RevOps analyst, SDR tooling admin, and automation specialist.

Why is the GTM Engineer salary higher than other RevOps roles?

GTM Engineers are technical builders who write code (Python/JavaScript), build custom API integrations, and deploy AI workflows. This is an engineering-adjacent role, not an ops coordinator role. At $4,200–$5,200/mo for an Architect-level hire, you are still saving significantly compared to a US-based GTM Engineer at $12,000–$18,000/mo. The premium reflects coding ability, AI workflow experience, and integration depth.

How fast does a GTM Engineer ramp?

21 days, not 30. Day 1: stack audit — map every tool, integration, and manual process. Days 2–7: architecture plan — top 3 automation opportunities with timeline. Days 8–14: first system shipped — highest-ROI automation with measurable improvement. Days 15–21: operational velocity — 2–3 systems running in production. This timeline requires admin access to all tools on Day 1 — delays in provisioning directly delay output.

$299/mo CloudTask membership. No placement fees. 24-month guarantee included. See pricing details

Your next gtm engineer. Guaranteed for 24 months.

Get matched in 48 hours. If they don't work out, we replace them free.

No cost to get started Matches in 48 hours 24-month replacement guarantee