Open to Work
Saad
Ahmed
GTM Engineer · Lahore, PK · 2026
Outbound Automation Specialist

Cold data → qualified pipeline. I build AI-powered outbound systems that turn guesswork into a precision revenue engine.

$110K
Pipeline
Generated
21.4%
Open Rate
at Scale
61K+
Emails Sent
One Campaign
$110K
Pipeline from cold outbound
61.2K
Emails sent in one campaign
21.4%
Open rate achieved at scale
5+
Years GTM & automation
About
LocationLahore, PK
RoleGTM Engineer
Experience5+ Years
Cert.Clay Expert
CurrentlyDayly Group
StatusOpen to Work
"I started by sending 25,000 emails a day and getting zero replies."

That failure led me to rebuild everything — deliverability, ICP targeting, personalization, campaign structure. What came out wasn't just better campaigns. It was a system.

Today I build end-to-end outbound GTM workflows for B2B SaaS, eCommerce, and services companies — combining intent signals, AI copy, and enrichment pipelines to surface the right accounts and get real responses at scale.

Certified Clay Outbound Automation Expert. Currently at Dayly Group (Canada), consulting across multiple live GTM projects.

Clay (Certified)Apollo.io InstantlySmartlead LinkedIn Sales NavOpenAI n8n / MakeHubSpot PythonApify
Featured Build

Watch the system
in action

A live walkthrough of a Clay-powered GTM pipeline — from raw data sourcing to AI-personalized outreach at scale.

Clay
Primary Tool
AI-Personalized
Sequences
1,493
Contacts
End-to-End
Automated
Work

Selected projects

Real systems. Real numbers.

02 — Campaign Execution
Cold Email Campaign — 110 Opportunities

High-volume campaign generating 110 qualified opportunities and $110K in pipeline. 21.39% open rate across 61.2K sends with AI-personalized copy and intent-based segmentation.

21.4%
Open rate
$110K
Pipeline
SmartleadInstantlyClayDeliverability
03 — Automation Infrastructure
AI-Driven GTM Workflows — Dayly Group

End-to-end outbound GTM systems for a Canadian growth consultancy. Clay workflows cut manual research time by ~70%, feeding enriched prospects into multi-ICP sequenced outreach.

~70%
Time saved
Multi-ICP
Segments
Clayn8nMakeHubSpotOpenAI
Process

How I work

Three phases, one outcome: qualified pipeline.

01 — Research
Define the ICP & signals

Start with your ideal customer profile, buying triggers, and firmographic filters. Layer in intent signals — hiring activity, funding events, tech stack changes — to find accounts that are actually in-market right now.

ClayApolloLinkedIn Sales NavSerper
02 — Build
Enrich, score & personalize

Source and enrich leads at scale using multi-provider waterfalls. Score by fit and intent. Generate AI-personalized icebreakers for each contact based on their company context, recent activity, and role.

ClayOpenAIApifyn8nPython
03 — Launch
Deploy, test & iterate

Push sequences into your sending platform with full deliverability infrastructure. Monitor open rates, replies, and conversions. A/B test copy and timing. Feed winning signals back into the model.

InstantlySmartleadHubSpotMake
Contact

Ready to build
your pipeline?

Open to GTM engineering contracts, outbound consulting, and agency partnerships. If you're building a sales system or fixing a broken motion — I can help.

Prefer to reach out directly?

Let's Work Together →