GTM Engineering & Revenue Operations
Design the system. Scale the revenue.
I engineer the agentic systems that turn your GTM strategy into predictable revenue.
R$16B+
AUM served
3
built-to-handoff systems
30%+
peak reply rate
The system I build, end to end
Built revenue systems inside
What I do
GTM systems that actually work
I design and build the technical layer between your team and your revenue targets.
GTM Engineering
Automate outbound, inbound, and PLG motions with enrichment pipelines, multi-channel sequencing, and AI-powered workflows.
Revenue Operations
CRM architecture, lifecycle design, and unified reporting. Built around how your team actually sells, not how the vendor demo works.
Data & Enrichment
Turn raw contact and account data into prioritized pipeline with ICP scoring, intent signals, and research at scale.
The architecture
One system, layer by layer
Every engagement is a variation on the same blueprint. The tools change with the budget and the motion — the layers don't.
I architect and ship the entire stack below from an agentic workbench — which is why a system like this goes live in days, not a quarter, and keeps adapting as the motion changes. The agent layer is how I build; the layers below are what it produces.
- 01
Source
ApolloSales NavigatorGoogle MapsIntent signalsPull the right accounts and people — not just more of them.
- 02
Enrich
ClayHunter.ioWeb scrapingFill the gaps that actually decide fit, with waterfall fallbacks.
- 03
Qualify
ClaudeICP gateAA/A/B/C scoringAn LLM scores fit and tiers every record before a human spends a minute.
- 04
Activate
InstantlyWhatsApp / Z-APILinkedInMulti-channel outreach, personalized per record, paced to stay deliverable.
- 05
Measure
DashboardsSQLLookerFunnel visibility leadership trusts — the BI layer most pipelines skip.
n8n moves work between layers; Supabase holds durable state so nothing double-fires across long cycles. This backbone is what turns a pile of tools into a system that runs without me babysitting it.
Selected work
Systems I've built
US fractional CFO firm (construction finance)
Three-way beachhead split for a construction finance firm
Signal-driven outbound architecture for a US fractional CFO firm serving construction contractors. Refused the single-platform framing, shipped a composite signal model anchored on a 90/90 overlap validation, full architecture handoff to the client's internal automation engineer.
2,350+
Capterra rows analyzed
Internal portfolio (4 niche content sites)
From WordPress migration to autonomous content operations across 4 properties
Migrated 3 WordPress sites to Astro with zero SEO regression on a property doing 4.8k clicks/quarter, then layered an autonomous content + SEO pipeline with a Claude critic gate across the full 4-site portfolio. Self-running, ~$3/month total cost, weekly digest as the only inbox-touching surface.
4
self-running properties
Nordic spa & sauna manufacturer (US)
Multi-vertical outbound system that grew with the business
Built a multi-vertical outbound pipeline for a US specialty manufacturer — 9,000+ leads processed, 18 campaigns across 15 verticals, evolved from volume outbound into signal-based prospecting and conference re-engagement layered on top. Built-to-handoff — client's internal team now operates the system.
9,000+
leads processed
US Coffee Tech
Signal-based outbound system for a specialty coffee tech company
Designed ICP signal architecture using Google Maps, AI site analysis, and competitor detection. Highest-value move was blocking a premature CRM integration — and coaching the RevOps lead from CRM admin into systems architect along the way.
0 → V1
outbound system designed
Monte Bravo
AI recruiting pipeline for a R$45B+ wealth management firm
8,000+ candidates analyzed with AI scoring, 1,100+ qualified leads, 30%+ WhatsApp reply rate. Sourced advisors including one with R$1.5B+ AUM from a top-tier global bank.
8,000+
candidates scored
Hospitality group (São Paulo)
AI concierge taking a founder out of the reservation inbox
WhatsApp AI agent handling guest inquiries, reservations, modifications, and confirmations for a São Paulo wine bar — replacing the founder, who was personally answering inbound messages despite operating a multi-venue group.
24/7
first-touch coverage
Online mentoring & education
Inbound AI SDR closing the full enrollment loop on WhatsApp
AI SDR for an EdTech mentoring company — picks up inbound leads on WhatsApp, qualifies, handles objections, confirms program fit, and closes the enrollment without manual handoff. HubSpot stays the source of truth.
Full close
AI handles lead → enrollment
Open source
Tools I've built and shipped
Agentic systems released under MIT for anyone to fork and run.
Open source · MIT
Outbound Campaign Crew — claim-traceable cold email sequences in CrewAI
CrewAI planner→copywriter→critic crew that turns an Account Research Agent brief into a 3-touch sequence where every factual claim is traceable, in code, to a line of research evidence — and refuses to write at all if the account scored out of ICP. The governance pattern from the LangGraph trilogy, ported to a second framework.
~$0.15
per 3-touch sequence
Open source · MIT
eval-watch — discipline layer over the agent stack
Meta-runner that wraps each sibling's existing eval entry via subprocess adapters, tracks regression and drift in SQLite, and commits a STATUS.md report back to the repo on a monthly GitHub Actions cron. Four siblings across two frameworks (LangGraph + CrewAI). Sixth instance of the code-enforced-rule pattern.
~$35
per year operational cost
Open source · MIT
Meeting Prep Agent — composes ARA + SM into a pre-meeting brief
LangGraph agent that produces a 1-page sales-prep brief by composing the Account Research Agent and Signal Monitor via subprocess. Four code-enforced clamps (evidence, length, talking-point provenance, spend) make the brief safe to read at face value. Third repo in the pre-outbound stack.
$0.40
per brief (ARA + SM + MPA combined)
Open source · MIT
Signal Monitor — typed buying-window signals with code-enforced clamps
LangGraph agent that watches a watchlist of companies for six typed buying-window signals and emails you a weekly digest. Three code-enforced clamps (evidence, spend, dedup) make it safe to leave running unattended. Companion to the Account Research Agent — modular, not coupled.
$0.56
first 5-company run (live)
Open source · MIT
Account research agent with code-enforced disqualifier policy
LangGraph agent that takes a company domain and produces a decision-ready ICP-fit brief — with a self-correcting critic loop and a hybrid disqualifier policy enforced in code, not in the prompt.
$0.30
per account brief
Let's talk
Let's build your revenue system
I'm available for GTM engineering and RevOps projects. Tell me where revenue is leaking and I'll tell you what I'd build.