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Varanjot

Kaur

Product Management Lead, WhatsApp

Meta

Varanjot Kaur is a Product Management Lead at WhatsApp, where she leads monetization initiatives focused on building conversational experiences that connect businesses with more than three billion global users. With over a decade of experience spanning product management, monetization, growth, and strategy, she has built and scaled products at the intersection of AI, messaging, and business growth. Prior to her current role, Varanjot served as Head of Product Strategy for Monetization at Meta, leading several zero-to-one AI-powered products, including business AI agents and LLM-enabled tools. She was also a founding member of Meta’s Special Projects team, helping shape strategic initiatives such as Metaverse and Avatars. Before joining Meta, she spent four years at McKinsey & Company, advising technology leaders on product-led growth, monetization, pricing, and large-scale business transformation.

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22 September 2026 11:15 - 12:00

Panel - Speed vs. substance: Are product teams moving too fast in the AI era?

AI is accelerating product development at a pace few teams have experienced before. But as organizations rush to launch AI-powered experiences and stay competitive, many product leaders are grappling with a difficult question: are we building products that create lasting customer value, or simply shipping features to keep up with the market? This panel brings together product and AI leaders to explore how modern teams are balancing speed, experimentation, customer trust, and meaningful product outcomes. From governance and operational readiness to adoption, usability, and long-term impact, the discussion will unpack what responsible and effective AI product leadership actually looks like beyond the hype cycle. Attendees will hear practical perspectives on: - Balancing rapid experimentation with customer experience - Avoiding “AI novelty” and focusing on real user value - Governance, trust, and operational considerations when scaling AI products - Aligning product, operations, and leadership teams around responsible AI adoption - Deciding when to move fast (and when to slow down)