Monday Myth: Platform Teams Need Product Managers

From the book An Evolution for a Revolution

The Comfortable Narrative

Platform teams need product managers. The claim circulates easily because it mirrors what works elsewhere. Internal users exist, priorities compete, and roadmaps must emerge. The conclusion feels natural, yet it hides a deeper misunderstanding of what platform teams exist to do.

A product team manages demand and optimises for adoption. A platform team reshapes the environment so demand reduces or disappears. When friction drops, when interfaces align with real needs, and when systems behave predictably, request volume collapses. The platform succeeds precisely when it no longer requires constant mediation.

Introducing product roles into that context often treats symptoms rather than causes. Backlogs grow, ceremonies stabilise, and communication looks structured. Beneath the surface, fragmentation persists. The organisation has not solved the problem. It has organised it.

When Product Becomes a Compensation Mechanism

Most platform teams do not reach for product managers out of strategic clarity. They do so under pressure. Requests accumulate, priorities blur, and engineers operate reactively. Leadership inserts a layer to restore order.

The result feels like progress. Someone owns the roadmap, someone arbitrates priorities, someone speaks to stakeholders. Meanwhile the platform drifts away from its purpose. It stops behaving like a system and starts behaving like a service desk with refined language and better dashboards.

This pattern does not reflect a lack of product thinking. It reflects weak internal structure, shallow ownership, and poor alignment. The organisation compensates by adding roles instead of addressing the design.

The Real Issue: Engineers Detached from Purpose

The discussion becomes uncomfortable at this point. Well‑hired engineers do not require constant prioritisation from outside the team. They understand why they operate, how their work connects to business outcomes, and where the system creates friction.

When that connection fades, engineers retreat into execution. Work fragments into tasks, visibility narrows, and the broader system disappears. At that stage, adding product managers appears sensible because the team no longer carries its own context.

The issue does not originate from missing roles. It originates from engineers who no longer operate with purpose, ownership, or systemic awareness.

No backlog refinement restores that foundation.

Engineers Who Wear Multiple Hats

Strong platform teams follow a different pattern. Engineers do not wait for instructions. They drive initiatives that connect directly to business outcomes and system evolution.

Each engineer spans multiple dimensions. They shape value as a product owner would, lead execution as a technical lead would, and contribute across initiatives as part of a cohesive system. This dynamic does not create confusion. It creates alignment.

The roadmap ceases to exist as a static artefact. It evolves continuously, shaped by feedback, constraints, and emerging signals. The team does not manage a backlog. It cultivates a living strategy.

Scale In: Ownership as the Foundation

The first shift occurs internally. Tasks give way to initiatives, and initiatives anchor themselves in measurable outcomes. Engineers own these initiatives end to end, from definition to delivery and iteration.

Prioritisation then emerges from the team’s understanding of impact and alignment. Platform engineers move from execution to strategic contribution, aligning their work with organisational objectives rather than reacting to requests.

Ownership becomes more than accountability. It becomes engagement with the system itself.

Scale Out: Direct Exposure to the Signal

The second shift removes unnecessary mediation. Engineers engage directly with stakeholders, product, and business functions. They experience constraints, tensions, and trade‑offs without translation.

Product thinking does not disappear in this model. It relocates to the interface between teams, where signals emerge and decisions take shape. Engineers who operate close to that interface develop a sharper understanding of value, prioritisation, and impact.

This exposure should not stop at product. The same pattern accelerates the organisation when engineers connect directly with marketing, sales, and support. The signal becomes richer, less distorted, and immediately actionable. Engineers no longer wait for interpretation, because they absorb, analyse, and translate it into initiatives.

Distance from the signal creates dependency on interpretation. Proximity removes it. Connection multiplies it.

A concrete example illustrates the point. In a business unit connecting buyers and sellers in the automotive space, we embedded a marketing profile directly within the engineering team. Not as a stakeholder, but as a contributor to the system. Engineers interacted daily with campaigns, user behaviour, and commercial signals. The feedback loop tightened immediately. The team shaped initiatives based on real demand, adjusted flows in near real time, and aligned technical decisions with outcomes without mediation. The traditional product role lost relevance, not by design, but because the system no longer required translation. The roadmap emerged from the interaction between engineering and the market.

Communicate: Visibility as a System Property

The third shift strengthens communication as a discipline rather than a ritual. Platform teams articulate strategy, progress, and priorities with clarity and consistency.

Visibility changes behaviour across the organisation. Stakeholders align expectations, requests become structured, and interruptions decrease. Communication protects the team from reactive overload while reinforcing its strategic role.

The platform no longer absorbs random demand. It shapes how demand enters the system.

Rethinking Roles: TPMs and Product

Once these mechanisms take hold, the question evolves. If engineers own initiatives, engage directly with stakeholders, and communicate clearly, what remains for additional coordination roles?

Tracking becomes inherent to the system. Alignment occurs through continuous interaction. Translation loses relevance because engineers operate close to the source of truth. Roles that once provided value start duplicating existing capabilities.

This does not diminish product thinking. It exposes that outsourcing it weakens the system, while embedding it within engineering strengthens it.

Well‑configured AI assistants reinforce this shift. They operate within constraints, synthesise signals without emotional bias, and structure information with consistency. They do not assume they understand the customer better than the data suggests, and they do not drift into internal politics or narrative shaping. Paired with engineers close to the signal, they accelerate translation from reality into actionable initiatives and further reduce the need for intermediary roles.

The Leadership Responsibility

Leadership determines whether this shift occurs. Hiring must prioritise engineers who think beyond execution, seek context, and connect technical work to outcomes.

Leaders must expose teams to real signals, encourage ownership, and resist the temptation to solve structural issues with additional layers. The objective does not involve controlling the roadmap. It involves creating conditions where the roadmap emerges naturally and continuously.

AI Changes the Game

The rise of AI does not weaken engineering. It amplifies it. Engineers now leverage assistants to transform signals into structured initiatives, express outcomes with clarity, and iterate faster on strategy without waiting for translation layers.

This shift strengthens the model. When engineers already operate close to the signal, AI accelerates understanding, synthesis, and execution. Ideas move faster from observation to implementation, and the continuous roadmap evolves with greater precision.

The implication reaches beyond productivity. Problem solvers who connect systems, interpret signals, and drive outcomes increase in value. Roles built primarily around translation and coordination face a different trajectory. As the system becomes more direct, the need for intermediaries shrinks.

The future does not remove product thinking. It embeds it where it belongs: inside the engineers who build and evolve the system.

What Does this Mean ?

Platform teams do not fail because they lack product managers. They fail because their structure prevents engineers from owning, understanding, and shaping the system.

When ownership distributes, when alignment occurs at the right interfaces, and when communication remains deliberate, the need for intermediary roles fades. The platform evolves into what it was meant to be: a system that enables rather than reacts.

At its best, this system becomes more than a platform. It becomes a living brain. Each engineer contributes not only code, but context, judgement, and signal interpretation. Through their interactions, decisions, and shared ownership, the team builds a collective intelligence that exceeds the sum of its parts. The roadmap no longer sits in a document or a role. It emerges from the network itself, continuously adapting to reality.

This stands in direct contrast with the traditional organisation chart. Layers, roles, and handovers create distance and latency. A living system removes that friction. It connects the people who sense, the people who build, and the people who decide into a single adaptive loop.

In that model, engineers do not wait for product to interpret the market. They participate in the interpretation. They do not receive the roadmap. They help shape it in real time.

You do not scale a platform by adding layers. You scale it by amplifying the intelligence of the system.

In Conclusion

Platform teams do not need product managers. They need engineers who understand why they exist, who engage directly with reality, and who build systems that remove the need for constant coordination.

Scale in. Scale out. Communicate.

These principles form the backbone of An Evolution for a Revolution, where platform teams shift from reactive support to strategic systems that scale ownership, alignment, and impact.

The uncomfortable question remains: if engineers connect directly to the signal, own the outcomes, and shape the roadmap in real time, how much of the traditional org chart survives?