​A practitioner's guide on how to lead GTM at an AI-native company vs. traditional B2B SaaS, and how to hire, manage, and forecast for it.

​🎟️ Introductory rate of $77 applies to first 15 registrations. Use coupon code EVENT77.

​Who it's for:

​Leaders considering a move into an AI-native company, and leaders already inside one who want to sharpen team performance, client satisfaction, and revenue predictability.

​Agenda:

• ​The GTM rebrand: Sales and customer success are collapsing into a single revenue function. We will unpack the specific mechanics driving this consolidation at AI-native companies.

• ​Selling enterprise outcomes, not software: AI-native products rewrite the enterprise deal cycle. We will cover how your revenue motion must adapt when your team is shifting from selling traditional software tools to pitching immediate, measurable business outcomes.

• ​Hiring and developing talent for a market that didn't exist two years ago: Technical credibility is now table stakes for GTM hires. We will detail how to optimize your talent engine for raw adaptability over static playbook execution.

• ​Winning at speed: The ingredients for competing on execution. We will outline how to build a predictable, forecastable revenue engine in a consumption world, and how to leverage GRR/NRR discipline as your compounding advantage.

• ​Close: bringing it back to your desk: Tying structure, people, and speed together. We will close with concrete applications for both audiences: the key signals to look for when evaluating a move into an AI-native company, and the immediate operational levers to pull this quarter if you are already leading GTM inside one.

​Why is this a paid session?

​There is plenty of free content explaining that AI is changing sales and customer success. Far less of it addresses the decisions leaders must make when they are responsible for the revenue number.

​This is not a trend overview, product demonstration, or collection of generic AI predictions. It is a practitioner-led session focused on the operating realities of building revenue teams inside an AI-native company.

​You’ll examine the real trade-offs involved in:

• ​Structuring ownership across Sales and Customer Success

• ​Selling measurable enterprise outcomes instead of software features

• ​Hiring for technical credibility and adaptability

• ​Forecasting revenue in a consumption-driven business

• ​Balancing customer satisfaction, retention, and expansion

​The value lies in the practical context, decision-making frameworks, and direct access to an experienced operator. You’ll also have the opportunity to ask questions about challenges relevant to your own team and leave with clear actions you can apply this quarter.

​Who should attend?

​This session is designed for:

• ​Sales, Customer Success, Revenue, and GTM leaders working at AI-native companies

• ​Experienced B2B SaaS leaders considering a move into an AI-native business

• ​Founders and senior operators building or restructuring revenue teams

• ​RevOps professionals supporting consumption-led or outcome-driven revenue models

• ​Leaders looking to improve team performance, client satisfaction, and revenue predictability

​Whether you are already leading inside an AI-native company or considering your next move, this session will help you understand what the role demands, and and how to lead more effectively in it.

​About the Speaker:

​Adrian Hernandez-Liebo is a GTM Leader at ElevenLabs with more than 10 years of experience across enterprise Customer Success, strategic account management, and post-sales growth.

​At ElevenLabs, he helps scale post-sales operations and works with enterprises deploying conversational AI agents. Previously, Adrian led Global Customer Success and Account Management at Zowie, following customer-facing roles at Foursquare, Qubit, and Brandwatch.

​His expertise spans enterprise relationships, retention, account expansion, consultative selling, and building post-sales teams that contribute to sustainable revenue growth.