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Lavina
Hasija
Director, Product Management
Salesforce
Lavina Hasija is a Director of Product Management at Salesforce, where she focuses on AI-powered workflow automation and agent observability for SMBs. Across leadership roles at Salesforce, Meta, Amazon, and as a startup founder, she has built and scaled 0→1 products spanning generative AI, creator tools, marketplace compliance, workflow automation, and customer experience. Known for translating emerging AI capabilities into products customers actually adopt, Lavina has led initiatives ranging from creator support products for Facebook and Instagram to large-scale marketplace and fulfillment products at Amazon generating hundreds of millions in annual revenue. She brings a strong perspective on balancing rapid experimentation with meaningful customer value, operational readiness, and long-term product strategy. Alongside her product leadership work, Lavina actively coaches product managers on product thinking, leadership, and career growth, having mentored more than 300 PMs globally.
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22 September 2026 11:45 - 12:30
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 organisations 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) Perfect for product, growth, operations, and digital leaders navigating the realities of building AI-enabled products in 2026.