# Aslam C K | GTM Engineer > Aslam C K, GTM Engineer. I design and build GTM systems that fit the business: strategy, motion design and system design, using data, automation and AI as the implementation layer. Web page: https://aslamck.pages.dev/portfolio/ GTM Engineer # I design and build GTM systems that fit the business. Starting with the commercial objective, I work through the resources, market conditions, constraints and timeline to design the GTM motion, then engineer the systems needed to execute it. - View my work - [Book a conversation](https://cal.com/aslam-c-k/1v1) - [Resume](https://aslamck.pages.dev/portfolio/assets/Aslam-CK-Resume.pdf) - [Clay cohort portfolio ↗](https://cohorts.clay.com/@aslam-c-k) - Outbound Systems - GTM Strategy & Motion Design - AI-Native GTM Engineering Work ## Selected Systems Each system started with a business objective and a set of operating conditions, and the architecture came after. Flagship AI-Native GTM Intelligence & Outbound System ### Partner Intelligence Engine Problem: Branded packaged-food importers across 32 countries, including the UK, Australia and the United States: a fragmented, low-digital-presence market that conventional B2B databases couldn't see. System: An 8-agent research and qualification architecture on a custom data layer, running signal to personalized outreach with human checkpoints at every stage that mattered. - 322 Sourced - 230 Scored - 155 Verified - 41 Advanced - GTM Strategy - System Design - AI-Native GTM [View case study](https://aslamck.pages.dev/portfolio/case-studies/partner-intelligence-engine.md) Hiring assessment TAM Architecture & Enrichment ### TAM & Enrichment Architecture Problem: A 90K-phone-number target across a fragmented U.S. beauty & wellness market, with no single data source covering it well. System: Compared coverage and cost across three providers and sequenced an enrichment architecture around it, with Clay as the orchestration layer. - 90K Target #s - 108K Companies modeled - 3 Sources compared - GTM Strategy - System Design [View case study](https://aslamck.pages.dev/portfolio/case-studies/tam-enrichment-architecture.md) Freelance GTM Strategy & Motion Design ### GTM Motion Systems Problem: Two companies, 12+ services each, too broad to target as a single motion with limited resources. System: Narrowed each to one beachhead offer, then built the ICP, signals and outbound motion around that offer alone. - 2 Companies - 1 Beachhead / co. - Signal -based motion - GTM Strategy - Motion Design [View case study](https://aslamck.pages.dev/portfolio/case-studies/gtm-motion-systems.md) Freelance Cold Email Outbound Build ### Outbound for a Lead-Gen Funnel Service Problem: A small founder-led US service that builds lead qualification funnels and runs paid social ads wanted 10 to 20 more booked calls a month from cold email. System: ICP defined by sales motion and offer, not industry; 5 segments chosen from 12, with a beachhead and a stop rule; a signal ladder with anti-signals; a verified list; AI copy that writes or refuses each row; a code QA gate; 6 campaigns. Run by instructing Claude with MCP connectors and Claude skills, with fixed human gates. Booked calls and pipeline were not measured. - 28,526 Decision makers pulled - 2,393 Send-ready - 1.02% Reply rate, day 13 - 6 Positive replies, day 13 - GTM Strategy - Outbound Systems - AI-Native GTM Trust layer Brand Trust & Content Systems ### Minzelis Trust Infrastructure Problem: Outbound gets checked. If a brand's public presence looks unfinished, the reply doesn't come. System: An AI-assisted, brand-ruled content production system that keeps visual identity and output consistent without eating research time. - Rules Brand system - Prompt -based production - System Design - AI-Native GTM [View case study](https://aslamck.pages.dev/portfolio/case-studies/minzelis-trust-infrastructure.md) Personal Personal GTM Content Production System ### Aslam-CPS Problem: Proof of work needs to stay visible and consistent without consuming research time. System: A reusable content architecture: ICP, voice and brand rules in; ideas, prompts and visuals out. - Reusable Architecture - Personal ICP - System Design [View case study](https://aslamck.pages.dev/portfolio/case-studies/aslam-cps.md) Personal Personal Knowledge Base (RAG) ### Personal Knowledge Base Problem: I kept retyping the same facts about myself into job sites, applications, resumes, posts and profiles, and AI tools sometimes guessed them. System: One Supabase database of verified facts as the single source of truth. Nothing goes in until I confirm it, unmeasured result numbers are refused, every fact is labelled public or private, and AI tools retrieve facts by meaning instead of guessing. Designed and directed by me, built with Claude Code. - Verified Facts only - RAG Retrieval - System Design - AI-Native GTM Personal Social Engagement Capture (first stage) ### Social Listening Problem: People who comment on or react to a LinkedIn post are showing interest, and that signal is lost unless someone captures it. System: Continuous post scraping in Clay: my own posts, or a specific person, a competitor or a keyword. It pulls everyone who commented or reacted and enriches them. This is the first stage; CRM checks, qualification, scoring, tiering and routing to a sequence are designed but not built yet. - Clay Built with - Stage 1 Live - Social Listening - Signal Design Proof ## In numbers - 8 Specialized agents - 41 Sales-qualified, advanced to outreach in 2 weeks - 90K Phone-# target architecture - [Clay Certified: Outbound Orchestration Foundations ↗](https://cohorts.clay.com/c/253dd7c6-80df-4cd8-b3a5-05a31421b1fe) About ## About Aslam I started by trying to find customers for my brother's food business, a family business. No sales background, just business books, Alex Hormozi, a real problem and pressure to solve it. The job was simple to state: get customers. Manual lead research (Google, Scribd PDFs, UK Trade Info) turned into Apollo and Clay. I used Clay at first only for email verification, later for list building and then full workflow orchestration. The databases turned out to lack coverage for a fragmented ICP, so I moved to reverse-engineering competitors' distributor networks, and then to agents. That gap pushed me into custom data sourcing, ICP design, qualification, signal research, automation and agentic workflows. At the same time, I got increasingly interested in the strategy and motion behind the systems, not just the execution. That led me into freelance GTM work, and into structured learning through Clay University, Apollo Academy, Maven and the Clay Outbound Orchestration Foundation. What that learning covered: Clay's Outbound Orchestration Foundations Cohort 1 went through ICP segments built with signals, persona and messaging in mind, TAM, validating segments, stating assumptions, testing messages and running discovery calls, then signals, enrichment, segmentation, workflows, webhooks, Claygents and outreach drafting in Clay. n8n's Foundations Pathway (n8n101, n8n102 and n8n103) and Quickstart covered building and scheduling workflows, data mapping, sub-workflows, API calls, webhooks, error handling and the AI Agent node with tools and memory. This is learning; not all of it is applied in client work yet. I didn't start as a traditional software engineer. I learned and built by starting with a commercial goal, understanding the conditions the business was working within, and finding or building the system that made the goal achievable. That's still how I work. - Current focus - GTM Engineering roles: Outbound Systems & GTM Strategy Certification Outbound Orchestration Foundations, Clay Verified ↗ - Scholarship - One of 10 Clay-sponsored seats in ThynkCrew Crew 01, an 8-week GTM engineering programme from Nov 2026 - Strongest layers - GTM Strategy · System Design · Engineering [Download Resume](https://aslamck.pages.dev/portfolio/assets/Aslam-CK-Resume.pdf) What I build ## Organized by layer, not by tool ### Strategy - ICP Definition - TAM Mapping - Segmentation - Buyer Research - Qualification - Market Entry ### Motion Design - Signals - Outbound - Messaging - Cold Email Copywriting - Sales Actions - GTM Motion Design ### Systems - Outbound Systems - Workflow Design - Automation - Enrichment - Routing - Orchestration - CRM Workflows - Human-in-the-loop Systems ### AI - Agentic Workflows - Claygent - Claude Skills - AI Research - Personalization - AI-Native GTM Tools Use daily - Clay - Claude Code - MCP - Supabase - Firecrawl - Bright Data - AI Ark - Ocean.io - Prospeo - ListKit - Smartlead - HeyReach - InboxKit - Notion - GitHub - Gemini - APIs - Webhooks - Cloudflare - Granola - Buffer Use now and then - Apollo - n8n - ColdIQ - GetLeads - BuiltWith - PredictLeads - Deepline - TheirStack - Sumble - Semrush - Similarweb - HubSpot - Salesforce - OpenAI - Openmart How I work ## The process behind every system above 01 ### Start with the objective What does the business actually need to achieve? 02 ### Understand the operating conditions Resources, team capability, budget, market, timeline and data availability. 03 ### Design the GTM strategy ICP, TAM, buyer, segment, qualification and commercial focus. 04 ### Design the motion Signals, channels, messaging, sales actions and handoffs. 05 ### Engineer the system Data, enrichment, automation, workflows, agents, routing and human checkpoints. 06 ### Execute and iterate Look at the actual output and improve the system from what happens in reality. Get in touch ## Working on a GTM problem? If you're building an outbound motion, dealing with a messy data or targeting problem, or trying to turn a GTM process into a real system, let's talk. - [Book a conversation](https://cal.com/aslam-c-k/1v1) - [LinkedIn](https://www.linkedin.com/in/aslam-c-k/) - [Clay cohort portfolio](https://cohorts.clay.com/@aslam-c-k) ### aslam.c.k GTM Engineer [ckaslam33@gmail.com](mailto:ckaslam33@gmail.com) © Aslam C K Availability Open to remote, worldwide - [LinkedIn](https://www.linkedin.com/in/aslam-c-k/) - [Clay portfolio](https://cohorts.clay.com/@aslam-c-k) - [Book a conversation](https://cal.com/aslam-c-k/1v1)