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Developing Customer Sense as an AI-native PM or a Builder

Hosted by GK

Thu, Jul 23, 2026

7:00 PM UTC (45 minutes)

Virtual (Zoom)

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The Product Builder Certification: From Vibe Coding to Spec Engineering
Gayathri Keerthana (GK)
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What you'll learn

Know what to build before you spend a token on it

Work backwards from real customer needs from every available source before going into AI generated/ synthetic user data

Build your own Customer Sense Evals

Apply the error-analysis method used on LLM pipelines to reviews, tickets, and interview notes.

Encode your findings into testable eval criteria

Walk out with pass/fail checks, grounded in real anecdotes, that your build must pass in session two.

Run a Customer Signal Audit on your own idea

Leave with a one-page audit that shows exactly where you have been trusting a proxy.

Catch a sycophantic AI before it shapes your roadmap

Divert the model from agreeing with you and point it towards what matters to your customers

Why this topic matters

AI now sits between you, your teammates and the customer, aggregating and summarising things. Every layer launders the raw signal a little more. The expensive mistakes start there, when a confident model or a synthetic user gets treated as a real person. This session gives you ways to use real signals while building with AI, so your output is actually useful to your internal and external customers

You'll learn from

GK

Built by ex-Amazon: ML PM & an ex-VP | Lenny Featured Lightning Lesson

Most people stick to one thing. I've been managing to experiment with three:

  • teaching professionals to raise the bar while working with AI
  • helping businesses automate their workflows
  • running a speciality coffee brand in the UK


This is possible because of a rather uncommon mix of experiences I packed in just over a decade:

  • Senior PM in a $7.2B Amazon business unit, leading ML and econometric models that moved the needle on delivery experience.
  • Ops Manager at an Amazon robotics site: 300-person team, 250K+ shipments per night.
  • MBA from ESADE (ranked #7 by FT), Social Impact Scholarship.
  • Led marketing at SaaS unicorns: inbound, virality, demand gen, the whole shebang.
  • Founded a non-profit in rural India at 19, ran it for five years, won state-level awards.

See what people say about my teaching.

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