Rasul Shaikh

About

$550K+ revenue. $3.5M+ pipeline. 40% efficiency gains. 1.5%+ positive replies. Lead qualification cut from 48 hours to 9.6. Three GTM engines built from zero - and no extra headcount to run any of it.That's what happens when you treat go-to-market as an engineering problem.I come from an engineering background, and I use it to be the CI for GTM: engineering-led growth at scale. Dashboards show you the problem; terminals let you fix it. I work where the fixing happens - Claude Code, Python, bash - and let the dashboards report the good part. What comes out the other side: GTM systems that run unattended, personalize per contact, and don't flinch when volume 10x's.Nothing gets built before it's aimed. I map the TAM, cut the ICP, sketch the personas, and pick the exact 1P/2P/3P signals worth chasing - then turn that strategy into the machine that runs it. Strategy that doesn't ship is a slide. Mine ships - fast enough to drive back-to-back positioning shifts and land a first customer through brand-new channels like asset-led ABM.Operating principles:Speed - if an experiment takes a week, I rebuild the process until it takes days.Always-on like CI - content, competitive intel, sales research: daily human jobs become systems that never sleep.Zero friction - 7 tools and 2 approvals to ship one campaign? I delete the handoffs, not the ambition.Learning loops - I interrogate the constraint before writing a line of code: talk to the team, name the bottleneck, test one clean hypothesis at a time.The engine room so far:A factuality-first enrichment engine that refuses to guess - fail-closed, every claim sourced, ~$0.04/leadA 7-stage LLM pipeline writing per-contact copy no human has to reviewVideo ABM on Sendspark - booked an enterprise account at $25K MRR500+ personalized ABM landing pages reporting Share of Answer + AI Share of VoiceWebsite deanonymization: RB2B → n8n → Clay → HubSpot → straight into sequencesPlus an event/webinar engine, TheirStack signal routing, and a keyword-led content engine (Ahrefs + Firecrawl + OpenAI, driven from Claude Code)When I'm in the room: experiments ship in days, not sprints. Intel and messaging run themselves. Win rates compound because learnings never get lost. And the default question becomes "where can AI take this?" - not "who has bandwidth?"Stack: Claude Code · Clay · n8n · HubSpot · Smartlead/HeyReach/Sendspark · Supabase · Modal · Ahrefs · PythonExtreme problems are my favorite kind. Building signal-led GTM and want an engine instead of another deck? My DMs are open :)

Company history

1. 
   ClayClay Creator2024-09 – present · 1y 11mo
2. 
   RemoteStateFounder's Office - GTM Lead (AI GTM Engineer)2025-02 – 2025-06 · 4 mo
3. 
   Falcon Wise TechnologyFractional Growth2022-12 – 2023-04 · 4 mo
4. 
   RemoteStateSenior Business Development Representative2023-04 – 2023-07 · 3 mo
5. 
   Skill-LyncBusiness Development Representative - (APAC/MENA)2022-03 – 2022-06 · 3 mo
6. 
   I-SMARTSales Development Representative (APAC)2021-09 – 2021-12 · 3 mo
7. 
   CareerLabsSenior Business Development Representative (APAC)2022-06 – 2022-12 · 6 mo
8. 
   RemoteStateFull Cycle - AE (Lead GTM Engineer)2023-07 – 2025-01 · 1y 6mo
9. 
   Department of Posts, IndiaStealth (and no, I can’t share anything from here)2020-03 – 2021-03 · 1y
10. 
    Relevel by UnacademyFellow @Business Development Program2021-12 – 2022-03 · 3 mo
11. 
    Omnibound AIAI GTM Engineer2025-10 – present · 10 mo

Skills

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