Define Your ICP Using AI Research in 30 minutes

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

Sun, Mar 8, 2026

10:00 PM UTC (30 minutes)

Virtual (Zoom)

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GTM for Product Managers & Executives
Aki Wijesundara, PhD and Manu Jayawardana
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What you'll learn

Why job titles are not an ICP

Learn the five signals that actually define your best-fit customer — and how to find them without a research team.

How to pull real customer signals using AI agents

Use AI to analyze reviews, forums, and competitor positioning to build an ICP grounded in real-world evidence.

How to stress-test your ICP before you build around it

Run a validation framework that reveals whether your segment is real or an assumption the whole team has agreed on.

Why this topic matters

Most ICPs are built on internal consensus, not external evidence. Teams agree on a profile that sounds right, build a launch around it, and discover mid-campaign that the segment doesn't behave the way they assumed. This session shows PMs and executives how to build an ICP that holds up under pressure.

You'll learn from

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Career highlights

  • Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
  • PhD in AI & Cognitive Systems with published research across top universities.
  • Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
  • Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
  • Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
  • Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.


Manu Jayawardana

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor, demonstrating his ability to build and scale impactful products.

He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

Career highlights

  • Co-Founder of Snapdrum — builds production-ready AI systems for Fortune 500s, YC startups, and global Series A–C companies.
  • Exited Founder of Rise AI — created an AI investment copilot used by 35,000+ users worldwide.
  • Co-Founder of Krybe — ultra-realistic voice AI platform with 1000+ users and part of the NVIDIA Inception Program.
  • Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users.
  • Built and scaled 10+ companies across AI, SaaS, analytics, and EdTech, including a B2B analytics product that grew 10× in one year.
  • Former Entrepreneur First Unlock Fellow, selected for high-potential AI founders.


Previous Students from

Google
Boston Consulting Group (BCG)
Meta
NVIDIA
OpenAI

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