The Evolving Product Team: Melissa Perri on AI’s Impact on PM-to-Engineer Ratios

In a recent LinkedIn post, product management expert Melissa Perri discusses the significant shifts occurring in product team structures, driven by the rapid advancements in Artificial Intelligence. Perri highlights how traditional product management models, designed for a time when engineering was the primary bottleneck, are becoming increasingly outdated.

The Shifting Bottleneck: From Building to Discovery

Perri begins by referencing the historical 1 Product Manager (PM) to 8 Engineers ratio, a structure conceived when the challenge was primarily in the execution and building of products. However, she points out that the landscape is transforming. Citing insights shared on a podcast with Maryam Ashoori, PhD from IBM WatsonX, Perri notes that industry leaders are now discussing ratios closer to 1 PM to 0.5 engineers.

This change, Perri explains, isn’t a devaluation of engineers but a reflection of a new constraint: identifying the right problems to solve. As she puts it:

“The 1-to-8 PM-to-engineer ratio was designed for a world where building was the bottleneck. That world is changing.”

The advent of AI, Perri argues, is dramatically altering the speed and nature of product development. She provides examples from companies like Freshworks, where CPO Srinivasan Raghavan described how AI has empowered PMs to become active builders. These PMs are now capable of performing user research, creating designs, writing product specifications, and prototyping in a fraction of the time it previously took.

The ‘Build Trap’ and the Future of Product Teams

Perri warns against a potential pitfall she terms the ‘build trap.’ If companies enhance their building capacity tenfold with AI but fail to invest proportionally in discovery and strategic thinking, they risk producing a greater volume of the wrong solutions. According to Perri:

“If companies make building 10x faster but don’t invest proportionally in discovery and strategy, they’ll ship 10x more of the wrong things.”

This evolving dynamic is leading to a dissolution of traditional role boundaries between product management, design, and engineering. Perri observes the emergence of ‘product builders’ in some organizations – individuals who can seamlessly transition between identifying problems, prototyping solutions, and validating them with users.

AI’s Role in Accelerating Discovery and Execution

Further illustrating this trend, Perri mentions Shopify’s innovative approach, where they incorporate ‘vibe coding’ into their PM interviews, as shared by Vanessa Lee. This suggests a move towards valuing individuals who possess a broader skill set and can contribute more holistically to the product development lifecycle.

Perri emphasizes that the core issue is not merely about headcount ratios but about where an organization focuses its ‘thinking.’ As she notes:

“The ratio question isn’t really about headcount. It’s about where your organization puts its thinking.”

While Perri acknowledges that the optimal team structure for this new era is still being defined, she is convinced that the traditional model is no longer sufficient. She is currently researching AI adoption in product organizations to provide a comprehensive report on the subject and invites participation from professionals.

The implications for product leaders are profound, requiring a strategic re-evaluation of team composition, skill development, and the allocation of resources towards both discovery and efficient execution. The rise of AI necessitates a more integrated and agile approach to product development, where the ability to identify and validate problems becomes as critical as the ability to build solutions.