Skip Live | What PM is like at AI-first companies

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Summary

This video features a discussion with product leaders from AI-first companies (Glean, Applied Intuition, and Sigma) about the evolving role of Product Management (PM). The panelists share insights into how AI is changing PM responsibilities, organizational structures, and the skills required for success.

Highlights

Introduction to Changing Product Management
00:01:00

The host introduces the topic of how product management is changing, particularly with the rise of AI-first companies. The discussion will focus on how leading companies build products, organize teams, prioritize, and staff product talent differently in this new landscape.

Panelist Introduction: Vijay from Applied Intuition
00:03:13

Vijay from Applied Intuition, a physical AI company, introduces his company's work in making physical world applications intelligent and autonomous (e.g., vehicles, drones). He discusses his role as General Manager and former Head of Product, and his experience at Waymo and Google, highlighting the contrasting product management approaches.

Panelist Introduction: Emeran from Glean
00:05:00

Emeran from Glean, an AI assistant for the workplace, describes Glean's proactive capabilities in understanding and assisting company employees. He shares his entrepreneurial background and experience at LinkedIn and Stripe, emphasizing his role in leading R&D functions at Glean.

Panelist Introduction: Hassan from Sigma
00:08:15

Hassan from Sigma introduces the company's evolution from a BI and analytics tool to a productivity layer on top of data warehouses, now incorporating AI capabilities. He discusses his extensive product management career, including roles at Microsoft and Okta, and the full-stack nature of PM at Sigma.

The Expanded Role of Product Management
00:11:30

Hassan explains that the PM function has become 'full-stack,' encompassing discovery, competitive analysis, and enabling sales. PMs are now responsible for guiding sales teams, helping with escalations, and deeply engaging with R&D and AI researchers, requiring a more rounded skill set.

AI's Impact on PM Responsibilities and Efficiency
00:13:52

Emeran notes that while PM responsibilities have expanded, AI offers immense opportunities for efficiency and compression of traditional duties without losing quality. This frees up PMs to take on new responsibilities, especially in understanding 'how' things are built given rapidly changing technology frontiers.

PM Accountability for Revenue & Go-to-Market
00:16:16

Vijay discusses how Applied Intuition holds PMs accountable for revenue targets, not just product metrics. PMs are expected to be the best salespeople for their products, spending a significant portion of their time in customer meetings, business development, and driving adoption. This leads to leaner, more technical sales and marketing teams.

Organizational Structure for Speed and Autonomy
00:22:57

Emeran explains Glean's commitment to maintaining an IC-centric product team with high autonomy and agency. This structure, which many larger companies lack, allows for rapid iteration and decision-making without extensive top-down guidance, fostering an entrepreneurial environment.

Hiring for Values and Growth Mindset in PM
00:27:07

Vijay highlights that while the company has grown, they've maintained a culture of high ownership and accountability by keeping teams lean. He emphasizes prioritizing values like work ethic, intellectual horsepower, and a growth mindset over specific skills when hiring, as these qualities enable rapid learning and high impact.

AI's Role in Core PM Work and the Importance of 'Taste'
00:29:13

Hassan controversially states that AI doesn't significantly help with core PM work like strategy or product-market fit. He emphasizes the importance of 'taste' and agency in product management, as AI systems are not trained on these nuanced aspects. The entry bar for PM roles has risen, with a focus on experienced candidates who can immediately contribute.

Guidance for Aspiring AI-Centric PMs
00:35:41

Emeran advises aspiring PMs to focus on iterating fast with 'taste' and improving a 'Shel score' (product-market fit) for their products, rather than just coding V1s with AI. He suggests a thinking exercise: imagine working as a PM with only an AI assistant, identifying gaps and learning to bridge them to develop AI product-building skills.

Transforming Traditional Organizations for AI Adoption
00:40:55

Hassan discusses how he would introduce AI to a traditional company like Octa, emphasizing building net new capabilities on an AI stack. He looks for candidates who possess strong first-principle thinking, understand the AI stack, and have personal experience experimenting with AI.

Tactics for Driving AI Adoption in Organizations
00:44:05

Vijay offers three tactics for driving AI adoption: role modeling from the top, demonstrating business results from AI use, and identifying 'Charlies' (champions) who help others adopt AI tools. He also mentions disincentives, like withholding headcount approvals unless AI can significantly improve efficiency.

Product Managers as Champions of Internal Transformation
00:48:21

Emeran highlights that Glean's product managers must be exceptional product demoers, showing customers how to use the platform. He shares an anecdote of an admin who viewed deploying Glean as the most impactful thing they did all year, making it a cornerstone of their performance review. This emphasizes the role of PMs in empowering users and driving internal transformation.

Uplifting Future of Product Management
00:51:48

The host concludes by stating that product management is not shrinking or becoming obsolete; it's more empowered than ever. PMs are becoming builder-entrepreneurs, with understanding of business, autonomy, and strong opinions. Organizations have opportunities to transform through top-down change, incentives, and fostering an AI-driven culture in product.

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