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To manage the strain on product managers from hyper-productive engineering teams, Anthropic has a rule: if a project is two engineering weeks or less, the engineer is the PM. They are responsible for stakeholder management (security, legal, etc.), with the official PM acting only as an advisor.

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AI tools are blurring the lines between roles. Vercel SVP Aparna Sinha notes that product managers can now build and test working products, not just prototypes. This allows for hyper-efficient, small teams—sometimes just one person—to achieve the output of a full squad.

The V0 team operates with minimal product management oversight, empowering product-minded engineers (often ex-founders) to make 95% of product decisions directly. This sacrifices potentially "perfect" choices for a dramatic increase in development velocity.

Sundial founder Julie Zhu intentionally avoids hiring product managers. This constraint forces engineers to take full ownership of the product definition and user value, preventing them from delegating critical product thinking and developing a stronger sense of customer empathy.

The PM role is intentionally undefined, meant to adapt to a team's needs—from strategy to quality control. However, these functions can often be filled by a strong engineering lead or designer, making dedicated PMs non-essential, and potentially harmful, on smaller teams.

The traditional PM function, which builds sequential, multi-month roadmaps based on customer feedback, is ill-suited for AI. With core capabilities evolving weekly, AI companies must embed research teams directly with customer-facing teams to stay agile, rendering the classic PM role ineffective.

As AI tools dramatically increase engineering leverage (2-3x), the traditional 5-engineer, 1-PM, 1-designer team structure breaks. The PM and designer become bottlenecks, struggling to manage what is effectively a 15-20 person engineering team's output, forcing a rethink of team ratios and roles.

As AI tools accelerate engineering output, the limiting factor in product development is no longer coding speed but the quality of product discovery and strategy. This increases the demand for effective product managers who can feed the more efficient engineering pipeline.

When pursuing a long-term strategic solution, dedicate product management time to high-level discovery and partner alignment first. This doesn't consume engineering resources, allowing the dev team to remain focused on mitigating the immediate, more visceral aspects of the problem.

ElevenLabs eliminates the traditional Product Manager role. They hire "product engineers" who own the entire development loop from ideation to shipping and analysis. Growth leads (often ex-PMs) then partner with engineering leads on GTM and acquisition, creating a faster, more accountable structure.

Contrary to fears of fewer PMs, AI-driven development efficiency will increase the need for strategic guidance. This shifts the bottleneck to product strategy, requiring tighter PM alignment and potentially leading to smaller, more senior teams with ratios as low as one PM for every two developers.

Anthropic Solves its PM Bottleneck by Making Engineers the PM for Projects Under Two Weeks | RiffOn