Why Pricing a Platform Is Harder Than Pricing a Product — Lessons from Google Cloud with Deovrat Kajwadkar

Deovrat Kajwadkar is the Director of Strategic Deal Pricing and Monetization at Google Cloud, where he sits at the center of some of the most complex commercial decisions in modern tech. With a background in management consulting at McKinsey and deep experience in cloud and AI monetization, Deovrat brings a rare inside view of how pricing actually works when products are platforms, costs are dynamic, and value is constantly evolving.

In this conversation, Deovrat and Mark Stiving unpack why pricing is not just a "number-setting" function but the grade of how well everything else in the business is working. They explore the difference between platforms and solutions, why value-based pricing becomes harder as offerings become more flexible, and how AI is changing both how pricing is done and what pricing even means.

 

Why You Have to Check Out Today's Podcast:

• Learn why pricing sits at the heart of cloud and AI economics, touching product, strategy, sales, and profitability all at once.
• Understand how platforms, solutions, and AI fundamentally change value-based pricing, and why cost, competition, and outcomes all matter—at different layers of the stack.
• Discover why "pulling the dollar lever" is the most expensive move, and what smarter pricing leaders focus on first.

 

"Pulling the dollar lever is easy—but it's also very expensive. I'd rather pull every other lever first."
— Deovrat Kajwadkar

 

Topics Covered:

01:40 – Cloud Pricing as a Central Role. Deovrat explains why pricing sits at the center of Google Cloud's commercial decisions—connecting product strategy, growth, profitability, and customer value.

05:09 – Cloud Computing for Enterprises. A clear, non-technical explanation of cloud computing for enterprise customers, from infrastructure and platforms to software and AI—and why pricing each layer is different.

08:48 – Value-Based Pricing Challenges. Mark and Deovrat discuss why value-based pricing is especially difficult for platforms, where customers use the same products in very different ways.

13:04 – Value-Based Pricing Strategies. A practical framework for pricing across the cloud stack: cost- and competition-based pricing at the lower layers, and outcome-driven pricing as offerings move closer to customer solutions.

18:10 – AI's Impact on Pricing Strategies. How AI is changing pricing on multiple fronts—what gets priced, how costs behave, and how quickly products and value propositions evolve.

22:34 – AI in Pricing Strategies. Deovrat breaks down how AI can support pricing decisions, from customer analysis and renewals to analytics and decision support—while stressing the importance of clean data foundations.

24:12 – AI Value Delivery Challenges. Why delivering real AI value is harder than building the technology itself, and how change management and business adoption affect pricing and monetization.

27:30 – Pricing Advice for Business Impact. Deovrat's closing advice: great pricing leaders expand their skill set beyond pricing fundamentals—and pull every lever before resorting to raising prices.

 

Key Takeaways:

"Pricing touches almost everything—it's the heart of a company's economics." — Deovrat Kajwadkar

"The more commoditized the offering, the more cost and competition matter." — Deovrat Kajwadkar

"As you move closer to business outcomes, value-based pricing becomes possible—but harder." — Deovrat Kajwadkar

"AI changes pricing, but it doesn't eliminate the fundamentals." — Deovrat Kajwadkar

 

People / Resources Mentioned:

• Google Cloud – Cloud platform spanning infrastructure, AI models, developer tools, and industry solutions.
• McKinsey & Company – Deovrat's consulting background, shaping his strategic view of pricing and technology.
• AI Models & Agentic Workflows – Referenced in the context of pricing analytics, automation, and decision support.

 

Connect with Deovrat Kajwadkar:

• LinkedIn: https://www.linkedin.com/in/deovrat-kajwadkar