Neeraj Sujan

Open to GTM engineering & FDE roles

Neeraj Sujan

GTM Engineer and Forward Deployed AI Engineer. I build the systems between strategy and pipeline — enrichment pipelines, outbound automation, production AI deployments, and the infrastructure that makes revenue teams actually scale.

Currently building at WiredGTM. Writing on GTM engineering and forward deployed AI — the technical work most people call strategy.

admin@neerajsujan.com →LinkedInGitHubFull profile →

What I do

GTM Engineering

CRM architecture, enrichment pipelines, outbound automation, Clay workflows, AI research agents. The engineering layer underneath revenue teams.

Clay · Apollo · n8n · Smartlead · Claude

Forward Deployed AI Engineering

Production AI deployments, inference systems, agentic pipelines, evals, and the discipline of closing the prototype-to-production gap.

Claude · Next.js · Supabase · Python · TypeScript

Selected work

All projects →

GTMe AI

SaaS · In development

AI-native outbound automation. Finds leads, writes outreach, reads replies, decides next action. Built on Claude + Supabase + Stripe + Inngest.

Next.jsClaudeSupabaseStripe

GTM Pipeline Tool

Internal tool · Built

Company research → lead finding → AI email generation in two modes: target account prospecting and GTM hiring manager outreach.

Next.jsClaudeApolloTypeScript

WiredGTM ↗

Client work · Live

GTM infrastructure end-to-end — CRM architecture, enrichment pipelines, outbound automation, attribution systems.

Clayn8nSmartleadClaude

Writing

GTMEFDEAll →
Your AI Worked in the Demo. Here's Why It Dies in Production.
Great Engineers Freeze in FDE Interviews. Here's the Fix.
Why the Best Coder Is No Longer the Most Valuable Engineer
AI Personalization at Scale: How to Write Cold Emails That Don't Sound Like AI Wrote Them
Claygent: How to Run AI Research at Scale Without Burning Your Credits
Cold Email Deliverability Is Infrastructure, Not a Setting

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.

Get in touch →Full profileSee the work