Open to GTM engineering & FDE roles
Neeraj Sujan
GTM Engineer · Forward Deployed AI Engineer
I build the systems between strategy and pipeline. On the revenue side: enrichment pipelines, outbound automation, CRM architecture, AI research agents. On the AI side: production deployments, agentic systems, inference, evals — the engineering discipline of closing the gap between a working model and a working system in a customer's hands.
Two disciplines
Currently building
GTMe AI
AI-native outbound sales automation — finds leads, writes personalized outreach, reads replies, decides the next best action per lead. Built on Claude + Supabase + Stripe + Inngest.
Revenue Cartel — Operator Cohort
Live 8-week program building six production-grade GTM systems on real accounts: Intent Signal Engine, AI Research Agent (Claude), Deliverability Infrastructure, Hyper-Personalized Outbound, Pipeline Automation Loop, and an integrated capstone.
This site
The GTM engineering and FDE resource I wish existed — deep dives on systems, production AI, enrichment, outbound, and the thinking behind both disciplines. Written from production, not theory.
Stack
AI & Engineering
Claude · Next.js · TypeScript · Python · Supabase · Postgres · Stripe · Inngest
Enrichment & Data
Clay · Apollo · Clearbit · Hunter · Datagma · Dropcontact · Coresignal
Intent & Signals
RB2B · Koala · 6sense · Bombora
Outbound & Automation
Smartlead · EmailBison · HeyReach · SalesRobot · n8n · Make
Availability
Open to GTM engineering and forward deployed engineering roles — in-house, remote, or contract. Ideal fit: early-stage to Series B B2B SaaS or AI-first companies building revenue infrastructure from scratch.
I bring engineering depth to both revenue problems and AI deployment problems — and the ability to own the system end-to-end, not just implement a playbook someone else designed.
admin@neerajsujan.com →