GTM Engineer · RevOps · Open to roles

I build the systems behind a modern go-to-market

Built with AI and automation instead of a large engineering team: Clay enrichment, signal-based outbound, CRM data governance, and RevOps automation, the systems a modern revenue team runs on.

ClayApollo.ioFreckle.ioHubSpotSnowflakeInstantly.aiHeyReachn8nErgoClaude Code
AI automationEmail deliverabilityAPIs & webhooksICP scoringCRM data governance
See the work Get in touch
GitHub · Download CV · albertosuarezrd@gmail.com
The GTM stack

The systems a go-to-market team runs on

Clean data, the right targets, instant follow-up, and one source of truth: that is the stack a modern GTM engine runs on. Here is the whole map, with working builds for what is live and the next two already underway.

CRM enrichment system architecture: HubSpot, Clay, and n8n layers
Customer insight & ICPBuilt

Enrichment & ICP Engine

A governed HubSpot × Clay × n8n pipeline that enriches raw records, scores them against an ICP, and writes back under strict rules, so it cleans the CRM instead of polluting it.

100% match rate · 0 critical fields overwritten
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Account sourcing market map: 43 companies scored by fit and sell-readiness
Programmatic TAMBuilt

Account Sourcing Engine

A signal-based sourcing engine that maps a fragmented market, scores every company on a two-factor Fit + Sell-Readiness model, then verifies the top names live in Clay before anyone reaches out.

43 → 11 Tier A · 74% filtered before a call
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Speed-to-Lead Agent open-source repository on GitHub
Activation · speed-to-leadBuilt

Speed-to-Lead Agent OSS

An open-source AI agent that qualifies and routes inbound leads in seconds: a LangGraph pipeline plus a LoRA-fine-tuned intent classifier, served over an MCP server.

0.938 classifier accuracy vs 0.500 baseline
View the case study
Next in the stack
GTM data hubBuilding now

GTM Data Hub

A unified GTM data layer on Snowflake, fed by HubSpot and the rest of the stack, that Claude queries in plain language.

Data qualityBuilding now

Data Quality Engine

Data the whole stack can trust: test every provider against first-party truth, score their accuracy, and keep only the source that wins.

About

I build for revenue because I sold it first

Alberto Suárez

I came to GTM engineering from the commercial side, not from software. I ran full-cycle sales, demand generation, and the automation around them, then taught myself to build the pipeline systems I always wished I had as an operator.

I’ve run the full motion

Full-cycle sales, demand generation, and live-event operations under real pressure, plus a 200+ member community I built and ran.

I build the machine

Founder of Omate Labs. I do the engineering myself: schema design, automations on self-hosted n8n, fine-tuned models, and the dashboards on top, shipped and running in production.

Download CV

Open to GTM Engineer and RevOps roles.

Systems that turn go-to-market into a repeatable machine, built end to end. The fastest way to reach me is email or LinkedIn.

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