The Next Product Paradigm: People, Patterns, and AI ft. Ajay Singh, Pure Storage
Mon Feb 02 2026
“AI shouldn’t replace judgment. It should amplify it.”
As AI rapidly collapses product development cycles and accelerates decision-making, the margin for getting things wrong has never been smaller. Product leaders today are navigating faster launches, heightened customer expectations, rising concerns around trust and bias, and an increasing reliance on automated intelligence, while still being accountable for outcomes, accuracy, and long-term value creation.
In this episode, Ajay Singh, Chief Product Officer at Pure Storage, joins Namita Adavi, Partner at Zinnov, for a candid conversation on what it truly takes to lead products in an AI-accelerated world, where speed is abundant, but judgment remains scarce.
Ajay brings over 25 years of experience spanning Silicon Valley startups and global enterprises, having led technology and product teams through multiple waves of disruption, from the PC era and cloud revolution to today’s AI inflection point. Drawing from his journey across Sun Microsystems, VMware, Hewlett Packard, and as a founder whose companies were acquired by BMC Software and Intuit, Ajay offers a grounded operator’s perspective on how innovation actually scales.
The conversation explores how AI is reshaping product management and customer experience, why biased outcomes often originate in data rather than models, and how product teams must move from feature-centric execution to outcome-driven design. Ajay also shares why the venture-driven startup model continues to be the most effective engine for innovation, even inside large enterprises, and why, despite all the technological change, leaders must continue to place their biggest bets on people.
This episode offers a pragmatic view of AI as an enabler, not a replacement, where success is defined not by adopting the latest tools, but by building resilient teams, trustworthy systems, and products that deliver real customer outcomes.
Tune in to hear:
Why AI is compressing product cycles, but not eliminating accountability
How product leaders can manage trust, accuracy, and bias in AI-driven systems
Why product management is shifting from features to outcomes and behavior patterns
How startup-style venture models can unlock innovation inside large enterprises
Leadership lessons on judgment, competitiveness, and building teams that win
Tune in to hear the full episode.
More
“AI shouldn’t replace judgment. It should amplify it.” As AI rapidly collapses product development cycles and accelerates decision-making, the margin for getting things wrong has never been smaller. Product leaders today are navigating faster launches, heightened customer expectations, rising concerns around trust and bias, and an increasing reliance on automated intelligence, while still being accountable for outcomes, accuracy, and long-term value creation. In this episode, Ajay Singh, Chief Product Officer at Pure Storage, joins Namita Adavi, Partner at Zinnov, for a candid conversation on what it truly takes to lead products in an AI-accelerated world, where speed is abundant, but judgment remains scarce. Ajay brings over 25 years of experience spanning Silicon Valley startups and global enterprises, having led technology and product teams through multiple waves of disruption, from the PC era and cloud revolution to today’s AI inflection point. Drawing from his journey across Sun Microsystems, VMware, Hewlett Packard, and as a founder whose companies were acquired by BMC Software and Intuit, Ajay offers a grounded operator’s perspective on how innovation actually scales. The conversation explores how AI is reshaping product management and customer experience, why biased outcomes often originate in data rather than models, and how product teams must move from feature-centric execution to outcome-driven design. Ajay also shares why the venture-driven startup model continues to be the most effective engine for innovation, even inside large enterprises, and why, despite all the technological change, leaders must continue to place their biggest bets on people. This episode offers a pragmatic view of AI as an enabler, not a replacement, where success is defined not by adopting the latest tools, but by building resilient teams, trustworthy systems, and products that deliver real customer outcomes. Tune in to hear: Why AI is compressing product cycles, but not eliminating accountability How product leaders can manage trust, accuracy, and bias in AI-driven systems Why product management is shifting from features to outcomes and behavior patterns How startup-style venture models can unlock innovation inside large enterprises Leadership lessons on judgment, competitiveness, and building teams that win Tune in to hear the full episode.