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AI tools collapse traditional roles. Andre suggests modern teams will consist of four archetypes: a commercial person (sales/marketing), a product builder (vibe-coding solutions), a technical scaler (ensuring reliability), and an infra/security person (protecting the system).

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In the past, building products required a triad of programmer, product manager, and designer. AI now enables one person to perform all three functions. This is creating a new role, the 'Builder,' who can take a product from concept to completion, making specialized distinctions obsolete.

Cash App is moving beyond siloed roles like "designer" or "PM." They see three fluid archetypes: DRIs who set vision, ICs who build with high craft, and Player-Coaches who lead teams while remaining accountable for output, eliminating pure "people managers."

To adapt to AI-driven workflows, Microsoft's LinkedIn combined product managers, designers, and engineers into a single "full stack builder" role. This structural change eliminates communication bottlenecks and empowers individuals to leverage AI tools for end-to-end product development, drastically increasing speed.

Instead of traditional IT departments, companies are forming small, cross-functional teams with a senior engineer, a subject matter expert, and a marketer. Empowered by AI, these agile groups can build new products in a week that previously took teams of 20 people six months, radically changing organizational structure.

Dylan Field predicts that AI tools will blur the lines between design, engineering, and product management. Instead of siloed functions, teams will consist of 'product builders' who can contribute across domains but maintain a deep craft in one area. Design becomes even more critical in this new world.

The traditional tech team structure of separate product, engineering, and design roles is becoming obsolete. AI startups favor small teams of 'polymaths'—T-shaped builders who can contribute across disciplines. This shift values broad, hands-on capability over deep specialization for most early-stage roles.

As AI democratizes the ability to create products, rigid job titles like "Product Manager" and "Engineer" will become obsolete. Meta PM Zevi Arnovitz predicts that responsibilities will merge, and the focus will shift to the act of creation. In the near future, everyone on a product team will simply be a "builder."

AI development makes identifying the right use case and wrangling data the new bottlenecks, not coding. This flattens traditional hierarchies. The most effective teams are integrated 'tiger teams' where UX designers manage RAG files and developers talk to customers, valuing adaptability over rigid job descriptions.

AI agents empower individuals to perform tasks outside their core roles. At OpenAI, designers now write significant code, and PMs build functional prototypes. This blurs the lines between engineering, design, and product, unifying them under the umbrella of being "builders."

AI tools empower individuals to perform tasks traditionally siloed in other functions (e.g., PMs designing). This blurs the lines between specialized roles, leading to a "collapse" where one person can take a product from idea to prototype, fundamentally changing team structures.