Speaking Engagements

Bringing strategic clarity to complex conversations.

AI is evolving quickly—but real implementation still raises hard questions

Supriya Gupta brings over two decades of product and AI leadership to executive teams navigating those questions in real time. Her sessions help leaders think clearly about where AI creates meaningful value, how to integrate it responsibly, and what it takes to scale solutions people actually use.

With experience at Facebook, IBM, Credit Karma, and multiple startups, Supriya combines technical fluency, product judgment, and organizational insight. Whether at a leadership offsite, product summit, or closed-door forum, she helps teams shift from exploring possibilities to making aligned, informed decisions.

Where Supriya Speaks

Executive offsites and leadership team sessions
Internal product and innovation forums
Industry conferences and strategic panels
Founder summits and investor-hosted events
Venture, enterprise, and L&D community roundtables

Each session is tailored to audience, context, and business goals.

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“It’s tempting to tack AI on to an existing feature or product but I challenge you to consider using AI to solve real problems in innovative ways to do things you simply can’t with traditional software.

Take a step back to identify the most strategic & far-reaching problems to solve for where AI can truly act like a force multiplier in ways traditional software can’t.

That’s where the magic happens.”

Supriya at Grace Hopper Celebration 2024 - Unlocking AI’s Potential To Transform Personal Finance

“My hope is that in a few years, most of the complex decision-making and the demystification of finances becomes streamlined through AI and makes finances much more accessible for consumers, i.e. using AI and data for good.”

Supriya on The ConversAItion podcast - Demystifying Personal Finance with AI

“As I rose as a leader, I found it to be an amazing opportunity to build and maintain structured interviews for PM & performance management. This is so important because it removes bias and brings objectivity.

Objectivity is achieved by not just having it written on paper but practicing it every day and reinforcing this with my leaders — [to achieve the equity we need to build the best products]”

B the Way Forward Podcast & Supriya at Grace Hopper Celebration 2024 Keynote Panel

Innovating with Purpose: Driving Equity, Leadership, and Human-Centered Technology in a Data-Driven World

Select Speaking Highlights

"Things that have the potential to change our everyday lives can feel scary," Gupta tells Money. "But, like we’ve seen with previous technological shifts, technology can make our lives easier."
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The financial landscape is incredibly complex, from finding the right bank to understanding your credit score to securing the right loans and mortgages. Consumers face different decisions — and providers — every step of the way.
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Credit Karma runs deep learning models with these attributes to create 35 billion model predictions a day, according to Gupta. These predictions drive the AI engine to predict whether members will be approved for one of the offers they see on Credit Karma. The recommendations also provide insight into ways members might be able to improve their personal finances.
"That's really the power of AI," Gupta said.
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Supriya returns to this podcast, straight from her appearance on the AI in Business podcast, to explore the evolving role of personalization and AI in credit workflows. She dives into how Credit Karma is laying the foundation for autonomous finance, a concept aimed at minimizing human intervention in financial decision-making.
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This week's guest is Supriya Gupta, the General Manager of Recommendations and Head of Product at Credit Karma - a personal finance company helping individuals reach their financial goals. Supriya is responsible for personalizing the Credit Karma app experience for their 120 million customers. She has taken her department to the next level and their recommendation system now makes more than 35 billion model predictions every day.
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