Rasul Shaikh

AI GTM Engineer @ Omnibound AI

Omnibound AIex-RemoteStateex-Falcon Wise Technology

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$550K+ revenue. 5M+ pipeline.

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40% efficiency gains. 5%+ positive replies. Lead qualification cut from 48 hours to 6. Three GTM engines built from zero - and no extra headcount to run any of That's what happens when you treat go-to-market as an engineering 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 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 Operating principles:Speed - if an experiment takes a week, I rebuild the process until it takes Always-on like CI - content, competitive intel, sales research: daily human jobs become systems that never Zero friction - 7 tools and 2 approvals to ship one campaign? I delete the handoffs, not the 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 The engine room so far:A factuality-first enrichment engine that refuses to guess - fail-closed, every claim sourced, 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 "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 :)