CEOInterviews.AI
Start App
Try: AI strategy tariffs earnings guidance layoffs interest rates growth

Viral Bajaria

Cofounder, 6sense

Search every verified Viral Bajaria interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Viral Bajaria, co-founder and Chief Innovation and Ecosystem Officer at 6sense, discussed the company's adoption of an AI-driven software development lifecycle during a podcast appearance. He described an operating model in which AI agents orchestrate the full development process, running continuously in the cloud and determining when human input is needed for tasks such as architecture reviews, security approvals, and design decisions. According to Bajaria, this approach enabled his team to build a fully functional prototype, integrated with 6sense platform services and using customer data, from an initial vision in approximately 2.5 weeks. Bajaria also addressed challenges with measuring productivity from AI tools, noting that despite claims of fully AI-generated code, the company struggled to see clear productivity gains. He emphasized the importance of cost optimization, observing that users often default to more powerful AI models for all tasks regardless of complexity. He advocated for making AI tools approachable and accessible, citing Slack integration as an early surface that drove adoption. Additionally, he commented on the future of computer science education, suggesting that while coding basics remain relevant, curricula should shift toward multi-disciplinary skills such as program and product management.

Recent appearances

  • AI SDLC: Agent-Driven Workflow, Humans as Needed | Viral Bajaria, 6sense Chief Innovation Officer

    August 19, 2026 · 📺 Observe by Snowflake

    Viral Bajaria, co-founder and Chief Innovation and Ecosystem Officer of 6sense, joins us to explain the AI SDLC, the operating model he is building at 6sense. With AI SDLC, agents orchestrate the full development lifecycle, running continuously in the cloud and deciding when to pull in humans for architecture reviews, security approvals, and design decisions. The team can now create a fully functional prototype ready to show a customer, integrated into 6sense platform services and using the customer's own data, all built from the initial vision in just 2.5 weeks. Topics covered: The AI SDLC:…

    Watch on YouTube ↗

  • 6sense Did What Google Couldn’t : Targeting Companies, Not People | Viral Bajaria

    October 24, 2025 · 📺 The Neon Show

    From a last-minute YC application to a $5 billion Company built on deep technical insight. In this episode, Viral Bajaria, Co-Founder and CTO of 6sense, takes us back to the very beginning. He recounts his early days at Hulu, where managing massive data systems during the Super Bowl taught him how data could drive real business decisions. Joining one of Y Combinator’s early batches, Viral recalls being interviewed by Sam Altman and Garry Tan, and how the team quit their jobs after getting in, moved into a small townhouse, and began writing code. While most startups begin with small customers…

    Watch on YouTube ↗

  • Content Matters Podcast: Viral Bajaria on Generative AI in RevOps

    August 02, 2023 · 📺 Ingeniux

    6sense co-founder and CTO Viral Bajaria joined the Content Matter Podcast to talk about generative AI, large language models and how they are using in it the Revenue AI platform.

    Watch on YouTube ↗

  • Data Science in Action at 6sense - Viral Bajaria

    December 18, 2015 · 📺 H2O.ai

    Viral Bajaria, CTO and Co-Founder of 6sense H2O World 2015 Contribute to H2O open source machine learning software https://github.com/h2oai Check out more slides on open source machine learning software at: http://www.slideshare.net/0xdata

    Watch on YouTube ↗

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →