Denver, CO / Islamabad, PK April 2026 · Tegaki Edition 手書き

SAAD FAROOQ

Revenue Operations Leader · AI Infrastructure Builder · Freight Tech

Emailsaad@data-grid.ai
GitHub@eSaadster
Twitter@eSaadster
LinkedInsaad-farooq-38aa0675
The Operator Who Learned to Build the Machine

After 13 years scaling hyper-growth tech companies from the inside — DigitalOcean, KeepTruckin, Cloudways — Saad Farooq now builds the communication and orchestration layer between AI agents and the real world. Not demos. Production systems that run 24/7.

Most people building with AI agents are either business operators who use off-the-shelf tools, or engineers who build technically impressive demos disconnected from revenue.

Saad is doing both simultaneously — and the two sides feed each other. The RevOps background means every technical decision maps to a business outcome. The engineering means he doesn't just spec what agents should do — he builds the skills, wires the MCPs, deploys the infrastructure, and debugs at 2am when something breaks.

AI agents need infrastructure that mirrors human business operations — email, scheduling, browser access, phone calls, CRM, team coordination.
— The Thesis

Saad is building that infrastructure layer by layer, skill by skill, in production. The current focus: Data-Grid — a portfolio of GTM engineering and RevOps products led by DataGrid Datasets and go2market — alongside Uptime, an AI-driven freight tech platform born from 5 years of domain expertise at KeepTruckin, and side projects like relay01.

At a Glance

By the Numbers

Experience
13+
years in tech
Agent Skills
30+
custom-built
Artifacts
54
published live
GTM Operators
51
defined in go2market
Repos
26
6 public, 20 private
KeepTruckin
96%
call pickup rate
Career

Professional Experience

2025 – Present
Founder / Builder
Data-Grid · Uptime
Data-Grid: GTM engineering and RevOps product portfolio — DataGrid Datasets (live, CRM-ready web datasets + trend briefs) and go2market (AI operators for revenue teams). Uptime: freight tech — CDL driver recruiting, fleet monitoring, compliance automation for small-to-mid fleets.
Oct 2023 – Aug 2025
Revenue Operations
Phi Consulting
Customer retention, churn management, cross-functional engagement. Began integrating AI agents into operational workflows.
Jan 2024 – Dec 2024
Sr. Manager Platform Operations
Cloudways
Server performance, upsell strategy, automation initiatives.
Jan 2022 – Dec 2023
Director RevOps — CX & Onboarding
DigitalOcean
Managed customer churn and revenue retention. Led cross-functional initiatives across marketing, ops, and technology. Drove NDR and KPI achievement.
Jul 2020 – Dec 2021
Director of Customer Care
DigitalOcean
CRM strategy and churn management at scale.
Feb 2018 – Jul 2020
Sr. Manager Tech Support
KeepTruckin (now Motive)
Transformed support from cost center into revenue-generating department. 96% call pickup rate vs 4% industry abandonment. This is where the freight domain expertise began — largest ELD/fleet management platform.
· · ·
Flagship Projects

Data-Grid — GTM Engineering & RevOps Portfolio

Product 01

DataGrid Datasets

Live, CRM-ready structured web datasets and personalized trend briefs, grounded in current evidence. One plain-English sentence in, a verified structured table out — schema inferred by AI, rows researched by a network of data agents, refreshed on cadences from 30 minutes to weekly. Cited trend briefs connect macroeconomic shifts to local markets and industry solution categories.

GTM teams see where demand is moving, prioritize accounts, tailor outreach, and run revenue operations on a reliable data foundation. Public API, BYOK model support, and a curated gallery. Next.js, Fastify, Mastra workflows, Convex.

Product 02

go2market

An AI-assisted operating platform that adds focused AI workers across the GTM stack. Operators handle the routine work that slows revenue teams down — updating CRM records, routing approvals, account research, lead routing, campaign operations, pipeline updates, and follow-up. Each operator works within the roles, permissions, and rules the team defines, with human approval gates on risky actions.

51 operator contracts spanning CRM hygiene, lead scoring, deal ops, ABM, and churn — backed by a library of 60+ GTM playbook skills and 30 provider integrations. Reps focus on deals; managers run cleaner pipeline reviews; leaders forecast against goals.


Freight Tech

Uptime

Solving the driver recruiting crisis for small-to-mid fleets. CDL driver lead generation and qualification pipeline. Company prospecting from job boards with enrichment. Automated draft pitch emails personalized per fleet.

Domain expertise from 5+ years at KeepTruckin — understands ELD, FMCSA, fleet ops, driver churn, and owner-operator economics. Design system with Figma components, Next.js app.


Side Project

relay01

A Slack-native AI agent relay with session persistence and scratchpad memory. Runs a persistent pi-agent per Slack user or channel over Socket Mode — responding to @mentions and DMs with filesystem-backed sessions, scratchpad memory that carries critical facts across sessions, and automatic context summarization when sessions expire.

The architecture includes scheduled tasks and wake-up events, fire-and-forget sub-agents, custom skills, Block Kit rendering with live step checklists, and an SSE dashboard bridge for agent events. TypeScript, open source at github.com/eSaadster/relay01.


Technical

Stack & Languages

TypeScript
69%
JavaScript
15%
Python
4%
Swift
4%
Go
4%
LayerTechnologies
RuntimeNode.js 22+, QuickJS
FrontendNext.js, React, TypeScript
AI / ModelsMCP, Claude Code, Pi-Agent, OpenRouter
MessagingBaileys, Slack
InfraCloudflare, tmux, sprite.dev
VoiceSupertonic, ElevenLabs, Pine
BrowserChrome CDP, Scrapling
DesignNothing, Dart, Blended Art
Models Evaluated in Production
Claude Opus 4.6
Claude Sonnet 4.6
GPT-5.3-Codex
GPT-5.4
GLM-5.1
MiniMax M2.5
Kimi K2.5
Qwen 3.5+

Method

Working Style

Conversational engineering with AI agents as co-builders. Not writing specs. Not sitting in an IDE alone. A continuous dialogue.
— Working Method

This shows up in the artifacts gallery: 54 published interactive visualizations covering everything from AI model benchmarks to Istanbul real estate analysis to freight tech sell sheets. Each one was built through dialogue, not a traditional development cycle.

Selected Artifacts — 54 Published
bullshit-benchmark
hermes-agent-editorial
qwen35-vs-frontier
lead-tools-unified
uptime-sell-sheet
phi-consulting-v4
istanbul-european-prime
less-is-more
model-showdown-2026
gtm-pipeline-viz
health-dashboard
crypto-market-daily
search-api-comparison
sonnet-vs-opus

The approach extends to evaluating the AI ecosystem itself — routinely testing and switching between frontier models, building benchmark comparisons, and pushing agents into unconventional use cases like Reddit engagement, phone calls, and multi-agent email coordination.


Arc

Career Trajectory

Phase 1 · 2008–2018
Foundation

COMSATS Islamabad — BS Electrical (Computer) Engineering. Early career in technical support and operations.

Phase 2 · 2018–2024
RevOps Leadership

KeepTruckin → DigitalOcean → Cloudways. Support-to-revenue transformation. Director-level CX and RevOps. Platform operations.

Phase 3 · 2024–Present
AI Infrastructure

Data-Grid (DataGrid Datasets + go2market) + Uptime + relay01. 30+ skills, multi-agent coordination, persistent memory, 54 published artifacts.

The through-line: Every phase built on the last. Support ops taught the pain points. RevOps taught the business model. Now the AI infrastructure automates what used to require entire teams — lead generation, outreach, content creation, competitive intelligence, scheduling, and cross-functional coordination.


Technical
Agent ArchitectureProduction multi-agent systems
MCPCustom servers, cross-agent comms
Full-StackTS, Python, Go, Swift, React
API DesignREST, MCP, WebSocket, SSE
Browser AutoChrome CDP, Scrapling
Design SystemsNothing, Japanese minimalism
Business & Operations
RevOpsNDR, churn, retention strategy
SalesforceSales Cloud + Service Cloud
CRMAt-scale SaaS + fleet tech
GTMPipeline, lead gen, outbound
Freight TechELD, FMCSA, CDL recruiting
LeadershipCross-functional, eng → ops

Voices

Recommendations

"Saad is a thorough professional with a deep yearning to learn and evolve. I have found him to be open to change and modify his behaviors."

— Agha Zulfikar, Project Manager

"Saad, with his great motivational and inspirational support, enhanced greatly the interdepartmental relations which further contributed to better outcomes."

— Haseeb, Growth Operations Leader

Saad builds the operational nervous system for AI agents.
— Unique Value Proposition
01

Business × Engineering — Director-level RevOps AND production systems engineering. Knows what to build because he's been the user.

02

Agent Infrastructure — 30+ skills, multi-agent coordination, persistent memory, scheduled automation. A production platform, not a weekend project.

03

Freight Tech Domain — 5+ years at KeepTruckin. ELD, FMCSA, fleet operations, driver recruiting economics. Deep, not surface.

04

Design Systems — Three visual content systems with Japanese aesthetic influence. Agent output should look as good as it works.

05

Model-Agnostic — Tests Claude, GPT, GLM, Kimi, MiniMax, Qwen across real workloads. Knows which works for what, with receipts.

06

Open Source — relay01 and supporting tools. Proper licensing and documentation. Ships publicly.


Education
COMSATS Islamabad
BS Electrical (Computer) Engineering · 2008–2013
CEPEX (Computer Engineering Society)
Certifications
Claude Code in ActionAnthropic · Oct 2025
MCP: Advanced TopicsAnthropic · Oct 2025
+ 7 additional certifications
Languages
English — Professional · Urdu — Native
Availability
Open to Work · Denver, CO / Islamabad, PK
Saad Farooq — Profile Editorial · Nothing Design System · Tegaki Edition
Set in Doto, Space Grotesk, Space Mono, and Caveat (手書き) on warm washi paper
Compiled April 2026 from LinkedIn, GitHub, and 54 published artifacts
"a bit of whatchamacallating and flibbertigibetting"