Maja Voje: A Leading AI GTM Expert at Product Drive 2025
At Product Drive 2025, we’re addressing the most significant challenge facing product teams today: how to grow products in the era of AI. That’s why we’ve secured one of the most sought-after experts in AI go-to-market strategy.
Meet Maja Voje, the strategist behind $200M+ in AI product success stories. Her session “AI Agents GTM” could be the game-changer your product team has been waiting for.
Product Growth in the Age of AI
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Maja Voje: A track record that speaks volumes
When curating our speaker lineup for Product Drive’s “Product Growth in the Age of AI” theme, we needed someone who doesn’t just talk about AI GTM but someone who has lived it.
Maja Voje has guided over 750 companies through successful product launches, including industry giants and scrappy startups alike.
Her impressive 15-year journey spans roles at tech powerhouses like Google, Rocket Internet, Bayer, and Heineken. But it’s her recent focus on AI products that makes her invaluable for Product Drive attendees navigating this new landscape.
The numbers tell the story of her impact:
- $200M+ ARR generated across AI product portfolio
- $20M to $100M revenue scaling achieved for multiple clients
- 750+ startups and Fortune 500 companies mentored
- 74 AI companies worked with in the last 6 months alone
- 70% of the current portfolio is focused on AI-enabled products
From best-selling author to AI pioneer
Maja’s expertise extends not only to consulting but also to documented success that the entire industry recognizes.
Her book “GTM Strategist” became an Amazon #1 bestseller within 24 hours, helping over 9,500 companies launch with confidence. The book features battle-tested insights from 54 leading GTM experts at companies like Hubspot, Miro, Figma, and Metabase.
Industry legends have endorsed her work. Sean Ellis, who coined “growth hacking,” calls her approach essential:
“Maja’s book is the best guide that I’ve seen for getting to product-market fit, and without PMF, sustainable growth is impossible.”
Wes Bush, CEO of ProductLed, adds that her work is
“a must-read for any founder who doesn’t want to take the long, meandering road to finding product-market fit.”
Her educational credentials match her practical experience: she studied at Said Business School (Oxford University), Wirtschaftsuniversität in Vienna, and the Shanghai Institute of International Trade. This combination of academic rigor and real-world application makes her insights both theoretically sound and practically applicable.
The AI revelation that changed everything
What sets Maja apart in the AI space is her brutal honesty about what actually works. After working with 74 AI companies in the last 6 months, one thing became painfully clear to her: getting thousands of people to try your AI product is relatively easy. Building a sustainable business isn’t.
This insight drives everything she’ll share at Product Drive. While others celebrate viral AI demos, Maja focuses on sustainable revenue. Her clients don’t just get users, they build profitable businesses that scale.
Her unique methodology has helped companies discover that AI products can capture 25–50% of the value they create, versus SaaS’s typical 10–20%.
Through her Growth Lab consulting firm and extensive portfolio work, she’s become the go-to expert for companies serious about AI commercialization. Her GTM Strategist methodology keeps gaining momentum, with testimonials pouring in from successful launches across industries.
What we love about Maja’s take on AI products
When we were deciding who could best address AI go-to-market challenges, Maja’s contrarian views immediately caught our attention. She doesn’t sugarcoat the AI product reality like so many others do, and her insights come from working with 74 AI companies in just the last 6 months.
Her brutal honesty about the AI product bubble
In her recent interview with G2, Maja made a statement that perfectly captures why we wanted her at Product Drive:
“The days of selling products just because they are AI-based are over.”
What really impressed us was her insight into the fundamental disconnect in AI sales. The core issue she’s identified is what she calls knowledge asymmetry between AI sellers and buyers. Most customers don’t actually understand what AI can do for them, while sellers assume they do. As she explains,
“Users may lack knowledge about AI, which can create a knowledge asymmetry between sellers and users. The best way to bridge this gap is through use cases.”
So most AI companies are failing because they’re selling features, not outcomes.
Why her “Early Customer Profile” concept matters
We’ve seen too many AI companies fail because they chase ideal customer profiles without understanding who actually adopts AI products first. Maja’s developed what she calls an “Early Customer Profile” (ECP) specifically for this challenge, and her reasoning is compelling: “Users of AI solutions are still early adopters, as we would define them along the innovation-adoption curve. Early adopters usually hang around in communities.”
But here’s where she goes deeper than others. In many of her sharings on LinkedIn, she explains how to reverse-engineer your most successful AI users:
“You can reverse-engineer your most successful user by ranking users based on their customer lifetime value (not activation, retention, or other metrics). What are these users’ common characteristics?”
This data-driven approach to finding AI early adopters is something we haven’t seen other experts tackle with such specificity.
Her counterintuitive AI pricing philosophy
Most AI companies struggle with pricing because they’re thinking about it wrong. Maja’s developed some controversial but proven pricing strategies specifically for AI products. In her recent podcast with Avidly Agency, she addressed the core AI pricing challenge:
“Forget the hype, nobody really cares about AI. Think of it this way, no one buys a product simply because it uses some form of AI – generative or not. At the end of the day, users only care for value.”
Her LinkedIn content reveals even more specific pricing insights. In one of her viral posts about willingness to pay, she breaks down why traditional SaaS pricing methods fail for AI products and offers the Gabor Granger approach for testing AI product pricing.
What’s particularly valuable is her insight about dynamic pricing for AI companies. She advocates that
“best-in-class companies change their pricing at least once a quarter”
– something most AI startups are too afraid to do.
Her “Beachhead Strategy” for AI market entry
Across her channels, Maja consistently advocates for what she calls the “Beachhead Strategy” for AI products. Instead of the typical spray-and-pray approach most AI companies use, she pushes for radical focus: “Don’t spray and pray. Focus your GTM efforts on a single focal point (the market) instead.”
Her track record backs this up: She’s helped generate $200M+ ARR using this methodology. But what makes her AI application unique is her four-step validation process:
- “Choose a segment you can win in the next 18 months or less.”
- “Identify a high pain point for the solution you are bringing to market.”
- “Make sure there is a willingness to pay for the solution. If people say they want it, this doesn’t mean they will pay for it.”
- “The market is healthy enough to support your future growth.”
The four AI secrets she’ll reveal at Product Drive 2025
At Product Drive this year, Maja will deliver “AI Agents GTM” – a session that promises to rewrite how you think about launching AI products. This isn’t theory from the sidelines; these are frameworks tested across millions in ARR and dozens of successful AI launches.
She’ll reveal four critical insights that separate AI winners from the growing pile of failed launches:
- The PLG reality check: Why product-led growth alone fails for AI agents and the precise moment to pivot to sales-led approaches, earlier than most SaaS products ever needed to.
- The value capture framework: How to position outcome-based pricing that justifies premium rates and wins the crucial “How much should I budget for this?” conversation with enterprise buyers.
- Ecosystem amplification: The partnership strategies that turn one customer into ten through strategic network effects and existing platform leverage.
- Lean team multiplication: How AI-assisted workflows enable small GTM teams to achieve speed-to-market records while maintaining operational efficiency.
The best thing is: These are specific strategies born from $200M+ in proven AI product success.
Join the AI product growth revolution with Maja!
Product Drive 2025 brings together the sharpest minds tackling product growth in the AI era. Alongside Maja, you’ll learn from experts like Elena Verna, Kyle Poyar, and other industry leaders who are defining what works in this new landscape.
Our free, live online conference runs October 7-8, 2025, with a limited 500 seats available for each session.
So, reserve your spot for Product Drive 2025 and join Maja Voje’s “AI Agents GTM” session. Because in the age of AI, the right go-to-market strategy is the difference between breakthrough success and becoming another cautionary tale.
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