Define Your Target User in 30 Minutes — Using AI Research

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

Sun, Mar 8, 2026

11:00 PM UTC (30 minutes)

Virtual (Zoom)

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

How to clearly define who your product is for

Move from broad audiences to a focused, usable target user.

How to use AI to speed up early user research

Generate insights, refine segments, and test assumptions faster.

How to avoid vague personas

Turn generic profiles into clear, decision-ready user definitions.

How to leave with a practical target user draft

Walk away with a definition you can use for product and growth.

Why this topic matters

Many products struggle not because the solution is weak, but because the target user is unclear. Broad personas and surface-level research often lead to confused messaging and slow growth. We’ll focus on clarity, practical outputs, and decision-making — so you leave with a target user profile you can immediately apply to product strategy, positioning, and roadmap decisions.

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 co-founded Snapdrum, delivering enterprise AI systems and scaling paid acquisition engines that drove 5,000+ premium customers.

He is also Co-Founder & CEO of Krybe, a London-based Voice AI startup serving 1,000+ users and part of the NVIDIA Inception ecosystem. With a background in quant finance and AI engineering, he operates at the intersection of AI, distribution, and execution.


Career highlights

  • Exited Founder, Rise AI — Built an AI investment copilot (35,000+ users) trained on 1,300+ financial sources; exited to a private investor.
  • Co-Founder, Snapdrum — Delivered enterprise AI agents and high-ticket growth systems; scaled funnels to 5,000+ customers.
  • Co-Founder & CEO, Krybe — Built a production-grade Voice AI platform serving 1,000+ users; part of NVIDIA Inception.
  • Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users.
  • B2B SaaS Analytics CEO — Scaled revenue 10× in one year, serving 5,000+ users.
  • Entrepreneur First Unlock Fellow (2024) — Selected for high-potential deep-tech founders.
  • AI Systems & Growth Architect — Built and scaled 10+ ventures across AI and SaaS.



Previous Students from

Google
Boston Consulting Group (BCG)
Meta
NVIDIA
OpenAI

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