(90-120 minutes. Will require a paid subscription to n8n.io)

Welcome to the future of lean marketing operations. In this hands-on workshop, you'll learn to build your own AI-powered marketing agent using n8n—an open-source workflow automation tool that plays beautifully with tools like ChatGPT, Slack, Notion, LinkedIn, and hundreds of other apps.

You'll walk through real-world use cases that automate high-impact marketing tasks, from generating leads and qualifying them, to summarizing customer calls and repurposing content across channels. This isn't a tool tour or a theoretical deep-dive—it's a practical, tactical build session where you'll create your own fully functional AI agent by the end of the workshop. You'll leave with plug-and-play templates, tested workflows, and the skills to scale your impact without increasing headcount.

Key Takeaways
Learn how to use n8n to build workflows that automate marketing tasks
Set up a no-code AI assistant that can perform lead enrichment, email drafting, content repurposing, and more
Build an agent that connects to OpenAI, Slack, Notion, LinkedIn, Google Sheets, and other key tools
Use prompt engineering to guide your AI agent's tone, quality, and output format
Take home ready-to-use templates to replicate and adapt in your own GTM stack

At 26, I almost died. Not because of a freak accident, but because I was dismissed, misdiagnosed, and forced to fight for my own survival. What does this have to do with cybersecurity marketing—especially social media? More than you’d think.

Social media in cybersecurity is relentless. Audiences are skeptical, platforms shift overnight, and breaking through the noise feels like an uphill battle. But just like survival, success in cyber marketing isn’t just about endurance—it’s about strategy. It’s about knowing when to push, when to pivot, and when to fight to make sure the right voices get heard.

In this session, I’ll share how my journey—going unheard by the medical community, fighting for answers, and ultimately finding a way forward—mirrors the challenges we face in cybersecurity marketing. As social media leaders, we must be resilient. We must advocate for our brands, navigate industry fatigue, and make complex topics compelling.

This session will break down how to push through doubt, refine strategies, and stand out in an industry that never slows down. Because in cyber marketing, just like in life, resilience isn’t just about survival—it’s about making an impact.

Key Takeaways:
✅ How to cut through noise and skepticism in a saturated cybersecurity market (especially on social media).
✅ The power of persistence and adaptability in an industry that’s constantly evolving—whether it’s new algorithms, engagement drops, or shifting narratives.
✅ How to advocate for your message and brand in the face of resistance—because social is where cybersecurity narratives are shaped in real time.
✅ Why resilience in marketing is about strategy, not just endurance—and how social media teams can thrive amid chaos.
✅ You will leave feeling inspired—with a renewed perspective on resilience, both in cybersecurity marketing and in life"

Let's face it—cyber product marketing is more chaotic than ever. Constant launches, events, messy messaging, and content chaos leave most PMMs ready to throw in the towel as we're asked to do more with less. After 12 years inside the storm—across startups, scaleups, Splunk, and now Cisco—I realized something had to give. So I started building something new.

In this talk, I'll introduce Narrative to Audience (NTA)—a practical, narrative-first system designed to radically simplify the PMM experience. We'll cover:
• Part 1: The Journey — My story navigating through the cyber maze for twelve years and seven vendors.
• Part 2: The Complexity — Lessons from orchestrating messaging across massive portfolios and ever-shifting orgs.
• Part 3: The Shift — Why I started building a new system powered by AI to put narrative—and sanity—back in the PMM's orbit.

AI isn't a threat to product marketers if we harness it. It's an opportunity to escape the grind and focus on what matters: crafting stories that land and building trust with our audience.

Top 3 Takeaways:
1. A practical framework (NTA) to simplify your role as a Cyber PMM - Learn how Narrative to Audience brings clarity and focus to messaging, content, and buyer engagement—without burning you out.
2. Survival tips from inside the GTM machines of Dell, VMware, Splunk and Cisco - Get real-world insights on navigating messaging complexity at scale, and how to survive (and lead) without authority.
3. How AI can become your ally, not your replacement - Discover how AI can help Cyber PMMs fight digital chaos, cut through the hype, and do more with less.

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Building a Signal-Led GTM Playbook with an AI Stack

Let's set the stage: Everyone is still talking about how the MQL model doesn't work anymore, isn't sustainable for business growth, and isn't optimized for how the buyer's journey has completely changed. So (most) teams started to dabble in demand generation, and shook up the industry with a model that prioritizes building real demand/pipeline together with your GTM team, not collecting PDF downloads to pass to an SDR immediately.

2024-2025: Here's where things took a wild, but exciting turn in the past year. DG strategies are built around creating multiple touchpoints in a buyer's journey to educate them, provide value, evangelize your POV, and ultimately make them want to consider your product once it comes time to buy.

Sure, you can track those touchpoints and tell a cohesive customer journey story once a deal closes, but what are you doing with all of those touchpoints to make your GTM engine even more efficient/strategic in capturing and converting that demand faster?

Oh, and your leadership/board came knocking at your door, asking how you're using AI??

Enter: Signal-Led GTM with an AI Stack. This is built on the foundation of demand gen and ABM, but evolves into a playbook that creates and captures buying signals using AI tools (like Hockeystack) that can automatically feed high-intent accounts into your sales machine (outreach, direct to SDR/AE) with the appropriate sequences ready to go based on their signals.


So much more to unpack here, but we really want to share the playbook that we have built and evolved over the past two years, which we know is the now and future.

Here are the key questions we can answer & insights we can give:
- How you can pull these signals together (manually, to show why you need AI) and now automatically with an AI agent/workflow tool into your then outbound machine, making the most of your demand gen signals
- How do you measure the success of programs like this on an account/lead level if you're not optimizing for MQLs anymore? Aka, this playbook is the evolution of Demand Gen + ABM that replaces the MQL hamster wheel.
- How this playbook ultimately brings us to the evolution from lead gen -> demand gen -> signal-based GTM using AI and respects buyers throughout.
- How do you advocate for this strategy internally and up the chain to leadership/board? We all know internal selling is something that is always ongoing, and is frankly, necessary.