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While archetypes like 'Prototyper' and 'Builder' are useful for internal work, a complete organizational model must include externally-facing roles. Archetypes like the 'Scout' (gathering market signals) and 'Evangelist' (shaping perception) are responsible for interfacing with people and the market, a critical function that is often missing from product-focused frameworks.
The emerging "product engineer" is best understood as a spectrum. On one end is the customer-facing product marketer; on the other, the deep-systems software architect. The middle is now populated by PMs who code and engineers who engage directly with customer feedback, a trend accelerated by AI tools.
The archetypes for building software—Prototyper, Builder, Sweeper, Grower, Maintainer—can be directly mapped to go-to-market functions. For sales, this looks like prototyping new pitches, building scalable playbooks, and maintaining a disciplined pipeline. This framework provides a novel way for revenue leaders to structure teams for innovation.
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).
Effective product marketing is not a downstream function. It is a strategic role that sits at the intersection of product management, go-to-market teams (sales), and external influencers (analysts). It synthesizes inputs to shape both product strategy and market messaging.
To be truly successful, a product leader cannot just focus on features and users. They must operate as the head of their product's business, with a deep understanding of P&Ls, revenue drivers, and capital allocation. Without this business acumen, they risk fundamentally undercutting their product's potential impact and success.
While intended to free up strategic time, separating the PM and PO roles often removes the development-facing PO from direct customer contact. This secondhand information flow dilutes crucial user insights and context, leading to a broken feedback loop and products that miss the mark.
AI is dissolving traditional job functions like 'engineer' or 'designer' into a new set of roles based on contribution style. Archetypes like 'Prototyper,' 'Builder,' and 'Sweeper' describe a person's disposition and approach to work. A healthy team will need a mix of these archetypes, regardless of members' formal titles.
Instead of asking employees what they do, map your core business processes (e.g., customer acquisition). Then, assign each step to a person. This bottom-up approach reveals who is truly driving value and who is overburdened, leading to more accurate role definitions based on business impact.
Product managers are trained to conduct discovery to understand user needs, yet they frequently fail to apply this same curiosity and process internally. They don't discover what sales, marketing, and other partners need to be successful, leading to a disconnect where they only focus on shipping features rather than enabling the entire business.
Great PMs excel by understanding and influencing human behavior. This "people sense" applies to both discerning customer needs to build the right product and to aligning internal teams to bring that vision to life. Every aspect, from product-market fit to go-to-market strategy, ultimately hinges on understanding people.