Zarif Ahmed
A decade in growth marketing, from founding and selling my own brand in 2015 to running paid media, demand generation, ABM, CRM and measurement for enterprise clients. Then I codified the repeatable work into an AI agent organization that researches, builds, reviews and ships with me.
Now: Director of Growth Marketing at Veritas Automata. Before: Chartis.io, Bailey Brand Consulting, BeMo.
Most of my strongest work ran under NDA, through agency and consulting engagements. Client identities, absolute volumes and proprietary data stay confidential; the outcomes below are limited to program areas I directly led or materially influenced.
Led demand generation for the client's aerospace & defense division on a 7-figure account: an ABM program pairing LinkedIn and Demandbase, feeding named accounts technical white papers and video, converting on sample requests, then handing MQLs to the client's sales team. Twelve key and strategic accounts moved through the funnel.
Read the case →For the same manufacturer's pharmaceutical & biotech division, grew white-paper downloads and leads 38% year over year while holding spend flat — through structured creative testing and campaign optimization. Separately, a full paid-search audit for a global financial-services enterprise identified ~$250K in wasted spend for reallocation to higher-performing campaigns.
Read the case →Ran paid strategy for 10–12 concurrent clients at Bailey Brand Consulting across Google, Meta, LinkedIn, programmatic and CTV. Took a healthcare booking client from 3x to over 10x ROAS while cutting cost per booking from $150 to $25, and an outdoor consumer-products client from 2.5x to 6.4x ROAS.
Read the case →Percentages are rounded where required by confidentiality obligations. Every figure on this page traces to a claims ledger with source, metric definition and last-verified date.
Built and operated on my own companies as the R&D layer. Each system is labeled by what it actually is today — production, supervised, or pilot — and each one raises speed, consistency, decision quality and learning velocity rather than just replacing hours.
Researches what the audience is asking, writes the post, puts it through the quality gates, optimizes it so search engines actually rank it, and publishes on schedule, automatically. Vera, the quality inspector, blocks anything that reads fake or generic. Nothing publishes without her pass.
Short videos, daily: founder-filmed and AI-avatar clips scripted, voiced and edited by the pipeline, drawing on a library of 100+ hook patterns. The cost of every reel is tracked, the way a media buyer tracks ad spend.
The detail that mattersA watch-and-learn loop. Feed it any viral reel and it extracts the format, banks the learning, and folds it back into the engine. Each new format learned is banked and reused, so the hook library grows with every pass.
Every Monday, before I wake up, the system has already scanned five industries: what people are searching for, what questions they are asking, what competitors did that week. Three more times a week it finds which content formats are winning attention, and it files everything into one shared record. The strategy agents read the newest findings before any planning session, so research reaches the work with no human courier in the middle.
My AI team members hand work to each other through a shared to-do list. One asks for research, a draft or an analysis; another picks it up in the cloud a few hours later, does it, and files the result back with its status. I have a night shift.
Branded, interactive intake experiences with voice recording, file upload and agent-adaptive questioning, designed so a non-technical client can brain-dump raw and the agents structure it into GTM-ready data. The client talks; the agents write it down.
Living operating manuals for executives, holding pitch, product, proof and library in one navigable place, plus visual working-session pages and system maps documented well enough that a new CTO or CEO can take over a system they didn't build. Those are the playbooks I have been writing since my first marketing job.
Approvals, spend, relationships and taste never delegate to a system. My agent org has adversarial reviewers with veto power, and one human — me — on the calls that matter.
Since my first marketing job I've turned repeatable work into playbooks. The agent systems are those playbooks, made executable — with quality gates a team can actually trust.
Watch first, automate one low-risk thing end to end, prove the win, then scale. Every claim I make traces to a source, a metric definition and a date — this page included.
Founder-operator first, then agency and in-house: multi-client budgets across Google, Meta, LinkedIn and programmatic, KPI frameworks, CRM architecture, and the escalation point between clients and leadership.
Growth strategy for an AI consulting firm in life sciences and CRO: ABM programs for high-value accounts, multi-channel demand gen, HubSpot and CRM architecture, GA4/Search Console instrumentation feeding executive reporting, and AI-assisted delivery I designed — including productized AI-driven site audits.
Planned media and budgets for 7-figure enterprise marketing plans — including all seven business units of a global materials-science manufacturer and a global financial-services enterprise — across Google, Meta, LinkedIn and programmatic. Owned client spend, KPI frameworks and escalations; the ABM, flat-spend-efficiency and audit outcomes above come from this seat.
Ran 10–12 concurrent client accounts and $2M+/yr in paid budgets across eight-plus platforms; led discovery audits and delegated to a specialist pod of copy, design, SEO and UX.
Full-funnel PPC and paid social with multi-touch attribution (Hyros): 2x ROI and 5x ROAS year over year omnichannel, 2x webinar registrations, 3x SQLs, and the first SOPs I ever wrote.
Built a women's fashion DTC brand from zero: grew Shopify sales from $100 to $500 a day in a year, ran FB/IG paid to a 5x ROAS while cutting CPA from $40 to $8, and sold the brand in 2020 to start my professional career. The reason the playbook habit exists.
Founded 2025, run alongside the day job with a founding CTO (senior engineer at NVIDIA; ex-Apple, Tesla, DoorDash). Each brand has a distinct role — together they are where I operate growth, codify what works, productize the repeatable parts and publish the lessons.
AI marketing platform across five verticals. Where the growth methods get codified and tested under real conditions: the blog autopilot, market intelligence loop and quality gates on this page all run here.
White-label agentic OS for agencies: the reusable version of the workflows YGS proves out, sold with fractional AI leadership on top.
The distribution layer: courses, a daily builder journal, and the lessons from running an agentic company, published as they happen.
Open to Director+ roles leading AI-driven growth, marketing or GTM systems. Book 30 minutes and I'll walk your team through the live systems — the agents working, the quality gates, the reports filing themselves. No slides.