Product Evenings LDN: Scaling Product Judgment in an AI Native World
Shailendra Kumar, Product Lead at WhatsApp, explores how product leaders navigate decision-making in an AI-native era.
As AI becomes embedded in everyday products, product leaders face new challenges around reliability, complexity, and user trust. Drawing on his experience building global-scale products, Shailendra Kumar will share practical frameworks for deciding when to use AI, designing systems that scale responsibly, and shipping features that users can rely on.
AI introduces new opportunities and new risks for product teams. In this session, Shailendra Kumar explores how leaders decide when AI is the right solution, design systems that scale responsibly, and ship features without eroding user trust.
- 1 - Deciding When AI Helps and When It Hurts - Learn how experienced product leaders evaluate whether AI meaningfully improves a product experience, and how to avoid unnecessary complexity that can damage usability or trust.
- 2 - Designing AI Systems That Scale Responsibly - Discover frameworks for building AI-powered products that handle uncertainty, fail gracefully, and remain reliable as usage and expectations grow.
- 3 - Shipping AI Without Breaking Trust - Explore how transparency, governance, and accountability can be embedded into product development so teams can innovate quickly while protecting users.
Shailendra Kumar, Product Lead at WhatsApp, explores how product leaders navigate decision-making in an AI-native era.
As AI becomes embedded in everyday products, product leaders face new challenges around reliability, complexity, and user trust. Drawing on his experience building global-scale products, Shailendra Kumar will share practical frameworks for deciding when to use AI, designing systems that scale responsibly, and shipping features that users can rely on.
AI introduces new opportunities and new risks for product teams. In this session, Shailendra Kumar explores how leaders decide when AI is the right solution, design systems that scale responsibly, and ship features without eroding user trust.
- 1 - Deciding When AI Helps and When It Hurts - Learn how experienced product leaders evaluate whether AI meaningfully improves a product experience, and how to avoid unnecessary complexity that can damage usability or trust.
- 2 - Designing AI Systems That Scale Responsibly - Discover frameworks for building AI-powered products that handle uncertainty, fail gracefully, and remain reliable as usage and expectations grow.
- 3 - Shipping AI Without Breaking Trust - Explore how transparency, governance, and accountability can be embedded into product development so teams can innovate quickly while protecting users.
Good to know
Highlights
- 2 hours
- In person
Refund Policy
Location
BrainStation
55-57 Rivington Street
London EC2A 3QA
How do you want to get there?
