Schedule

10:00 AM

Alankar Agnihotri

Head Product Manager - Google Assistant and Gemini, Google

"Importance of product discovery in building great products"

Building a successful product requires a great product-market fit, which is easier said than done. In this session, I will talk about the different mechanisms for product discovery, what signals to pick on, and understanding the difference between what users say and what they actually do.

10:30 AM

Michelle Desiderio

Product Manager, Airbnb

"Tools and Techniques to Master the Post-Experiment Journey"

Have you ever tried to conclude a product experiment with results you believed to be straightforward, only to end up in lengthy deliberation with stakeholders before actually coming to a decision on the next steps? Your results say one thing, but gray areas leave you and your team unsure about how to proceed? If so, you’re not alone. Setting and managing expectations for next steps is often mistaken as work to be done after the run period of a product experiment. But neglecting to plan ahead for what’s next can lead to unnecessary churn amongst your team and stakeholders. Join this talk to learn techniques and tools to help you facilitate decision-making with your partners and master the post-experiment journey.

11:00 AM

Syed Aamir Aarfi

Senior Product Manager, Amazon Retail Foundations | Prev Led Product for AWS, Expedia

"Unlocking B2B Success: Identifying the Right Customers, Problems, and Opportunities"

In B2B, understanding your target customers is critical to developing products that resonate and drive growth. This session will equip you with a practical framework for identifying and prioritizing the most valuable B2B customer segments, pinpointing their core problems, and uncovering lucrative opportunities. We'll dive into proven techniques for conducting insightful customer interviews across different customer segments. You'll learn how to craft an effective interview guide that extracts meaningful insights into customer use cases, pain points, jobs-to-be-done, and desired outcomes. Beyond interviews, we'll explore how to leverage additional data sources like surveys and usage analytics to validate and quantify customer needs. You'll gain strategies for synthesizing this multi-source feedback into crisp value propositions and a prioritized roadmap of high-impact benefits. Whether you're launching a new B2B product or optimizing an existing one, this session will provide you with a tangible framework to ensure you're solving the right problems for the right customers at the right time.

11:30 AM

Break

Take a 30-minute break to recharge.

12:00 PM

Rushil Vora

Senior Product Manager, Microsoft

"Beyond the Black Box: Earning User Trust in AI-Powered Products"

As generative AI reshapes the way we work, earning user trust has become essential for adoption and long-term success. Many users approach AI with skepticism—concerned about model hallucinations, job displacement, or simply preferring familiar processes that already work well. This talk will share key learnings from building Copilot for customer service agents, highlighting real-world challenges in establishing trust. From transparency and reliability to user control and adoption strategies, we’ll explore what it takes to turn AI apprehension into confidence—and ultimately, into meaningful impact.

12:30 PM

Avinash Naganathan

Product Lead | AI Innovations | 0-1, Twilio

"Guardians of Innovation: The AI PML (Product Manager Landscape)"

We will start with a brief introduction on AI, spotting AI opportunities, and addressing challenges. Finding ways AI can genuinely improve people’s lives, whether by personalizing recommendations, detecting fraud, or helping users accomplish tasks more efficiently.

Data Matters: Making sure AI has access to the right data, keeping it accurate, relevant, and private, so products deliver on their promises without risking user trust.

Building and Adapting AI Models: A real use case on cybersecurity from my experience.

User Experience: Designing AI features that are easy to understand and use, so people feel empowered and in control, not confused or overwhelmed.

Ethics and Responsibility: Making sure AI is fair, unbiased, and transparent, with features that respect users and keep their data safe.

Finally, we’ll close with a walk into the future.