196 / AI Changes the Tools, Not Product Management Fundamentals, with Arpan Podduturi

Artificial intelligence is changing how product teams work, but not what good product management requires. As Arpan Podduturi explains, this remains true regardless of whether the AI integration involves physical products or software. Product teams in both environments face remarkably similar challenges: understanding user context, balancing trust and control, and delivering business value. Leveraging core product management principles remains critical to success.

Arpan Podduturi is Vice President of Product at Samsara, where he leads strategy and development of the company’s physical AI products. The Samsara product ecosystem is vast, serving back-office workers as well as truck drivers, machine operators, and front-line laborers.

His perspective is practical: regardless of context, product teams still need to understand customers, identify valuable problems, prototype possible solutions, deliver measurable outcomes, and build trust. AI hasn’t changed the job; it simply accelerates parts of the cycle.

Here’s what we learned:

Product Discovery (Still) Starts With Customers

For Samsara’s product managers, discovery means going where users actually work – including factories, mines, airstrips, and oil refineries. Their approach to discovery in these physical environments is not much different from that in traditional software discovery; Arpan refers to it as forward-deployed engineering.

“Our teams talk to users in their environment, and we work with them to figure out what problems they need help need solving,” he says. “It’s not necessarily new; in fact, it’s like the oldest song in the book.”

Trust Remains Essential to the Product Experience

When building tools that support physical safety, user trust is a core product requirement. The impact of AI integration is still a bit of an unknown – especially from the user perspective. Where personal safety is the desired outcome, Samsara product teams have to overcome a lot of suspicion about product performance.

“We sell trust,” Arpan says, “and the product is about building trust and it’s about helping people get home safely at night.” But as AI models assume much of the responsibility for the build, it’s imperative that humans are embedded throughout the product experience – from discovery through execution.

AI Hasn’t Changed the Job – Just the Set of Tools We Use To Do It

AI can accelerate development, but product teams still have to demonstrate that new capabilities are worth adopting. Whether using AI or not, Arpan says “product managers still need to identify value, understand the market, prototype quickly, work with engineering, tell the right story, and share the ROI with the customer. This is still the job. AI just gives us a different set of tools.”

• [08:15] We sell trust. Our product is about building trust, and it’s about helping people get home safely at night. 

   

• [11:18] The software we build needs to conform to the business; the business should not conform to this software.
• [21:48] My highest level take on the way that product management has evolved over the last year and a half is that the PM job is the job.We still need to like identify value, understand the market, like prototype quickly, work with your engineering team, be able to tell the right story, share the ROI story of the customer. You still needed to do all those things. You just have a different set of tools.
• [28:33] The PM job hasn’t changed: building the right thing in the right way at the right time has always been the product person’s job. And it is now more than ever.
• [30:11] The product side and the craft side. So on the craft side, not a lot has changed. The tools are just better and everything is going faster. On the product side, there’s a lot that we are  discovering on the agentic front. And we are going to see these kind of massive digital transformations of physical operations companies. That’s changing rapidly as people are starting to understand that AI touching the physical world is actually the biggest opportunity before us.
• [31:47] The curious PM can use AI to take advantage of the “product pit stops.” Decisions come with so much context now, so if you’re a curious PM you can get the answer without having to wait for the data person to pull the thing or you don’t have the meeting with the customer to talk to them and get their feedback on a specific question.

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