How Product Leaders Evaluate AI Features

Hosted by Sriram Natarajan

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AI Engineering for Product Decision Makers
Sriram Natarajan
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What you'll learn

Understand What Makes an AI Feature Launch-Ready

Cut through vague signals and learn the key engineering factors product leaders must evaluate before signing off.

Use a 5-Point Rubric to Spot Risks Before Launch

Apply a clear framework across cost, latency, reasoning depth, fallback design, and infra constraints.

Ask Smarter Questions in Engineering Reviews

Get practical prompts and examples to guide model, infra, and integration decisions confidently.

Why this topic matters

Most AI features fail quietly, not because of bad ideas, but because product leaders missed key engineering red flags. This session teaches you what to look for, how to pressure-test launch readiness, and how to lead technical conversations that de-risk your roadmap.

You'll learn from

Sriram Natarajan

Engineering Director, Applied AI @ GEICO | Ex-Google

Dr. Sriram Natarajan, Senior Director of Engineering at GEICO AI, has deep experience leading AI and cloud initiatives across enterprise, startup, and big tech environments. At GEICO, he leads the company’s GenAI initiatives across consumer journeys. Previously, he was Head of Surface Engineering at Google, where he played a pivotal role in developing Google Assistant for cars, significantly advancing AI in automotive experiences.

Dr. Natarajan is a seasoned AI expert and educator. He actively teaches AI to engineers and product managers, using a top-down approach that helps decision-makers develop practical architecture literacy and apply AI in production. A two-time TEDx speaker on AI, he has also been featured in industry summits and podcasts, sharing insights on scaling teams and building responsible AI products.

Previously at Google, AI Startup

Google
Geico
Stanford University
TED

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