How Growth-Stage Companies Are Scaling Marketing - #NYTechWeek

Thursday, June 4

11:00am

ETGMT

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ABOUT THE WEBINAR Growth-stage companies face the same problem over and over. The board approves an aggressive pipeline target. The headcount budget does not move. The CMO is expected to close that gap with the same team, the same spend, and a stack of tools that were supposed to make everything easier, but mostly created more coordination work. The reflex most marketing companies reach for is another tool. Another platform. Another dashboard. And six months later, the team is managing tooling instead of driving growth, output has not materially improved, and the gap between what leadership expects and what marketing delivers has quietly gotten wider. The companies that are actually closing that gap right now are not doing it by adding people or buying more software. They are doing it by building infrastructure: AI-powered marketing systems where research, campaign execution, paid media optimization, lead nurturing, and performance reporting operate as a connected sequence rather than as disconnected tasks scattered across a team that is already stretched. That is what this session is about. On June 4, as part of Tech Week New York 2026, Hamlet Azarian, Founder and CEO of Azarian Growth Agency, will demonstrate exactly how those systems work: live, starting from a blank screen. Not a recorded demo. Not a slide deck with hypothetical outputs. A working system, built and run in real time, across the functions that matter most to a growth-stage marketing operation: demand generation, paid media, pipeline development, and performance analytics. Azarian Growth Agency works directly with CMOs and marketing leaders at growth-stage companies, navigating precisely this pressure: boards demanding 2x results with flat resources, marketing teams that are capable but over-extended, and AI tools that have produced volume without strategic direction. The systems we will demonstrate in this session are the same ones built and operated for those companies. You will leave this session with a clear picture of what AI marketing systems can realistically handle across the full funnel, where human strategic judgment remains non-negotiable, and how to evaluate whether your team should build, buy, or partner to get there. You will also leave with a practical diagnostic framework you can run against your own marketing operation the same week, not a theoretical exercise, but a structured way to identify where operational drag is costing you the most and where AI systems would create the fastest lift. This session is designed for CMOs and VPs of Marketing who are past the AI curiosity phase. If you have already tried the tools and found that they produce activity without outcomes, this is the session that shows you why, and what the alternative looks like in practice. WHAT YOU WILL LEARN Everything in this session is built around one question: how does a growth-stage marketing team do more, with the team it already has? 1. Why your current AI tool stack is making your team less productive, not more The problem is not the tools. The problem is that tools without a system layer create fragmentation: more inputs, more handoffs, more editing cycles, and more time spent managing software instead of driving growth. The webinar will show exactly where that breakdown happens and what the structural fix looks like across a real marketing operation. 2. What an AI-powered marketing system actually is, and how it differs from what most teams have built There is a meaningful difference between a collection of AI tools and a marketing system. A system connects strategy, execution, optimization, and reporting in sequence, so output moves without constant manual intervention. We show you what that architecture looks like across demand generation, paid media, pipeline nurturing, and analytics, and where each function fits. 3. A live demonstration: an AI marketing system built and run in real time No prerecorded demo. No best-case scenario constructed in advance. We will build and run a working AI marketing system live during the session, showing exactly which components connect, how decisions get made at each stage, what the output looks like across channels, and where human oversight is required. If something does not run cleanly in the moment, you will see that too. 4. How to scale paid media performance without scaling the team managing it Paid media is one of the highest-leverage places to apply AI infrastructure, and one of the most commonly mismanaged. The session will cover how AI systems handle campaign monitoring, bid strategy signals, audience segmentation updates, and performance reporting in a way that reduces the manual workload on your team without removing the strategic judgment that actually moves ROAS and CAC. 5. Pipeline development and lead nurturing at scale without proportional headcount Building and maintaining a pipeline is operationally expensive. We will show you how AI systems handle lead scoring, nurture sequence logic, timing optimization, and handoff signals to sales so your team is focused on high-value conversations instead of the mechanics of keeping the pipeline moving. 6. How to connect your marketing system to the metrics your board actually cares about The board is not asking about impressions or publish frequency. They are asking about CAC, LTV, pipeline contribution, and payback period. You will learn how AI marketing systems get built around revenue metrics from the start, not retrofitted after the fact, and what that connection looks like in a reporting layer your leadership team can actually read. 7. Where human strategic judgment is non-negotiable in an AI marketing system The marketing organizations that fail with AI do so because they automate the wrong layer. Positioning, ICP targeting, messaging hierarchy, and offer strategy are not tasks for a system to own. We will show you where humans must remain in the loop and how to structure a system that handles execution without losing the strategic coherence that makes execution matter. 8. How growth-stage companies are running more campaigns with smaller teams Real examples from companies operating in the same conditions your team is in right now: flat headcount, growing pipeline targets, boards that want board-ready attribution. We walk through what the setup looked like, what changed operationally when the system went live, and what the output difference was across paid, organic, and lifecycle channels. MEET THE SPEAKER Hamlet Azarian has spent 20+ years doing one thing: figuring out why growth-stage companies plateau, and building the systems that move them forward. He founded Azarian Growth Agency as a full-funnel, data-driven growth firm, and has since helped companies across SaaS, e-commerce, fintech, and B2B tech raise over $300M and build marketing engines that scale without proportional headcount growth. He is not a theorist. The AI marketing systems he will demonstrate in this session are the same ones his team builds and runs for clients. His work sits at the intersection of performance marketing, AI-native workflow design, and revenue operations, and his standard for a useful session is simple: you should be able to use what you learn the same week you learn it. Hamlet also works directly with portfolio company marketing and leadership teams, which gives him a specific vantage point on what growth-stage CMOs are actually facing at the board level right now. He has led 17 previous sessions in [A] Growth Lab webinar series, covering advanced Google Ads, Meta strategy, email infrastructure, server-side tracking, GEO, vibe marketing, and generative AI, consistently drawing senior marketing leaders who want operational depth, not surface-level overviews. This event is a part of #NYTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.

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