Anderson Hirota

About

Most pipeline problems aren't volume problems.They're signal problems. The system can't tell who matters now from who will never matter. I build the infrastructure that solves that: data architecture, automation, and AI working together so revenue teams execute with less noise and more precision.My background is in Business Intelligence, and for the past few years I've been applying that same systems thinking directly to GTM and Revenue Operations, from lead qualification and scoring to full outbound orchestration.What that looks like in practice:- AI recruiting pipeline for a Brazilian wealth management firm (R$45B+ AUM): 8,000+ candidates analyzed, 1,100+ qualified leads, 30%+ reply rate on WhatsApp outreach. Sourced advisors including one managing R$1.5B+ AUM from a top-tier global private bank.- AI SDR for a Brazilian education company: WhatsApp + HubSpot + SPIN Selling-based qualification, handling inbound leads end-to-end through enrollment close. HubSpot stays the source of truth.- Multi-vertical outbound engine for the largest US sauna manufacturer: 9,000+ leads across 15 verticals, 18 campaigns spanning volume, signal-based, and conference re-engagement motions in isolated campaigns. LLM-powered contact selection, multi-source prospecting (Google Maps, Firecrawl, Clay, Building Connected), automated weekly reporting. Signal-based outbound landed first deal; conference re-engagement booked first meeting; volume outbound landed a standing-offer-to-spec from a hotel architect.- Signal-driven outbound engine for a US fractional CFO firm in construction finance (Upwork fixed-price sprint, both milestones paid on time): three-way beachhead split, composite signal model anchored on a 90/90 overlap validation, full architecture handoff to client's internal team (Supabase schema, n8n workflows, GoHighLevel pipeline).- Signal-based outbound advisory for a US specialty coffee tech company: translated qualitative ICP into computable Clay signals and blocked a premature HubSpot integration. Client activated Clay Pro post-engagement.Core stack: Clay · n8n · Claude Code · HubSpot · Salesforce · Supabase · Apollo · SQL

Company history

1. 
   Go To Market EngineeringFounder - Digital Projects & SEO2022-01 – 2024-05 · 2y 4mo
2. 
   Monte BravoPartner & Head of Business Intelligence2020-07 – 2022-01 · 1y 6mo
3. 
   Global Fashion GroupSenior Marketing Analyst2015-07 – 2016-04 · 9 mo
4. 
   XP INVESTIMENTOSBI / Customer Acquisition / Digital Analytics2017-12 – 2019-05 · 1y 5mo
5. 
   Global Fashion GroupMarketing Intern2015-02 – 2015-07 · 5 mo
6. 
   Rico.com.vcBusiness Intelligence Analyst2016-05 – 2019-05 · 3y
7. 
   Monte BravoBusiness Intelligence Analyst2019-05 – 2020-07 · 1y 2mo
8. 
   Mike OllefsFounder - Digital Projects & SEO2022-01 – 2024-05 · 2y 4mo
9. 
   GTM Systems LabGTM Engineer & Revenue Operations ConsultantRevOps2024-10 – present · 1y 10mo

Skills

No playbooks indexed for this profile yet.