Is it a very good factor when product managers are hands-on and use AI to construct prototypes and generate code? Will it enhance productiveness and job satisfaction? Will it ship higher merchandise quicker? Or will it end in poorly designed purposes stuffed with technical debt that no person desires and desires?
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As soon as Upon a Time in Product Land
My first expertise of working in product administration was blended. I liked the precise work, particularly figuring out the worth a product ought to create and discovering its options. However I used to be delay by the heavyweight waterfall-based processes: Product managers performed market analysis, constructed detailed feature-based roadmaps, wrote complete necessities specs, and handed them off to the event groups. In sum, they created numerous paperwork however hardly engaged with product supply. That was in 2001.
Across the similar time, I began to use agile frameworks, which provided a radically completely different strategy: As a substitute of speaking through detailed paperwork, product folks would collaborate with a number of dev groups to collectively uncover and ship the precise product—to be taught quicker, velocity up growth, and ship higher merchandise. Possibly I used to be younger and naive, however I used to be optimistic that an agile means of working would change product administration for the higher. And the early agile adoptions I used to be concerned in largely succeeded in making use of this new collaborative product administration strategy.
However the wider agile practices unfold, the much less this was the case. Product homeowners morphed into backlog managers, person story writers, and Jira ticket jockeys. The tales stopped being a promise for a dialog and became elaborate necessities. Product backlogs grew greater and greater, and options have been not found and described collaboratively. The organisational inertia had crushed the brand new methods of working. Innovation, autonomy, and cross-functional collaboration have been stifled by purple tape.
With new, highly effective AI instruments being accessible, I see organisations problem the standard product supervisor function once more and anticipate product folks to be extra hands-on and assist co-create the precise merchandise. However is that this a very good factor? Will it ship higher merchandise quicker? To reply this query, let’s begin by exploring what a product builder is.
What’s a Product Builder?
A product builder is a product supervisor who actively participates within the creation of a product—for instance, by crafting mock-ups, prototyping options, or vibe coding—relatively than solely directing others. It’s a brand new, rising function employed by corporations like Amazon and LinkedIn, and it’s typically additionally known as an AI product supervisor.[1] Some regard the function as a paradigm shift, a elementary change in the way in which product managers work: they (co-) create relatively than plan and coordinate.
The co-creation factor distinguishes the product builder from different “trendy” approaches, together with agile growth and steady discovery.[2] In Scrum, a product proprietor discovers options along with the builders and guides product supply by reviewing product increments. In steady discovery, a product supervisor kinds a product workforce—or product trio—with a tech lead and a designer. Collectively, they uncover the precise options and information product supply.
When product managers make hands-on contributions to their precise merchandise, they require abilities that are historically related to design and engineering. These embody the power to create efficient UI prototypes, in addition to to architect, vibe-code, and check a software program software, utilizing instruments like Loveable and Claude Code. This enlarges the talent set product managers require, which makes the function much more difficult. That’s very true when a product builder acts as a full-stack product supervisor who engages in product technique along with product discovery and supply.
What are the Professionals and Cons of the Product Builder Function?
To find out whether or not being a product builder is useful, let’s take a look at its advantages and disadvantages. What’s thrilling concerning the function is its promise for constructive change: serving to product managers break away from spending most of their time influencing folks and orchestrating work at greatest, and being a characteristic dealer and backlog administrator at worst. Extra particularly, the strategy can provide the next three advantages:
- Greater productiveness and job satisfaction: When product managers tackle a few of the duties historically related to designers and programmers, extra can probably be achieved with smaller groups. Moreover, working as a product builder can provide people a way of accomplishment and be extra satisfying than planning work and creating paperwork.
- Sooner choices and shorter time to market: Being actively concerned in product supply can scale back communication overhead and remove ready and delays. As a substitute of writing person tales, a product builder could develop a prototype and use it to validate concepts and accumulate suggestions.
- Higher merchandise: A deep involvement in product supply can keep away from a strategy-execution chasm, end in higher collaboration with designers and engineers, and result in merchandise that supply the precise person expertise and options—assuming that product builders additionally take care of the product technique.
However working as a product builder additionally has drawbacks. Constructing prototypes and producing code can distract product managers from their core duties. It might probably make their work too tactical and technology-focused. It dangers deprioritising the technique work or turning into completely overworked.
- Technique neglect: When product folks construct the precise product, they danger focusing an excessive amount of on the answer and never sufficient on the issue. Earlier than you construct, it’s essential to perceive what downside you are attempting to unravel and should you ought to deal with it within the first place. With AI, you possibly can create an app in an hour. However do you have to do it? Is the hour nicely invested? Or are you leaping to conclusions and presumably worrying about design features earlier than you might have validated the market want? And if there’s a validated market want, is the present technique nonetheless proper, or does it need to be tailored? Technique guides product discovery and supply.
- Technical debt: Constructing profitable digital merchandise requires greater than the power to knock up a prototype and vibe code utilizing the most recent AI instruments. The precise design strategy must be chosen, the precise structure and tech stack need to be chosen, and the code high quality must be proper. If product builders don’t make the precise design and structure choices, and if AI instruments generate code that’s obscure and preserve, technical debt is incurred. This may negatively influence the person expertise and enhance future growth time and prices.[3]
- Function confusion and burnout danger: Product builders could unintentionally step into design and engineering domains, undermining the workforce members’ autonomy, and leaving folks confused about who owns what. Moreover, product persons are often busy sufficient with their core duties. Taking over further duties and performing as a product builder will be overwhelming, create an unsustainable workload, and result in burnout.
What now?
Provided that the product builder function has each advantages and disadvantages, the place does this depart us? Must you turn out to be a product builder? Ought to your organisation begin hiring for the function? Right here is my take: Given the speedy technological modifications we’re experiencing and the alternatives they current, product managers ought to check out AI instruments and discover to what extent they assist them do an excellent job. Because the particular person in control of the product, set a while apart and experiment with instruments like Figma or Lovable and Claude Code or Codex—particularly to validate concepts and speed up product discovery.
However constructing software program shouldn’t be the primary focus of a product supervisor—nor ought to it’s writing person tales, administering backlogs, and fulfilling the needs of each single stakeholder. Their actual job is to maximise the worth the product creates. Empathising with customers, synthesising their suggestions, deciding which issues really matter, and setting efficient product outcomes are nonetheless on the coronary heart of product administration.
Product managers consequently require not solely product discovery and supply experience—they need to even be expert in product technique: Technique determines if and why a product needs to be constructed. Primarily based on it, discovery identifies the precise options and person expertise (UX), and supply creates the precise product.[4] If you happen to neglect technique—if there is no such thing as a (clear) product technique or whether it is flawed or outdated—chances are high that you simply’ll transfer quick within the flawed course and provide a product no person desires and desires, particularly when utilizing AI. Technique guides discovery and supply. The three areas of product administration have to be balanced.[5]
Be aware that technique abilities are additionally required when a senior supervisor, just like the Head of Product or the corporate founder, determines the product technique.[6] In any other case, product managers will discover it exhausting to successfully interact in technique conversations, constructively problem assumptions, and efficiently affect strategic choices. What’s extra, they might battle to successfully execute the technique and make the precise discovery selections.
If you happen to discover that the product builder strategy sounds promising to your firm, experiment with it to raised perceive the particular advantages it gives to your organisation and the challenges it presents. Select one or two digital merchandise which might be at an early lifecycle stage, comparatively small, not overly complicated, and loosely coupled to different property. Permit the product managers to amass the required builder abilities and allow them to take an thought to launch as rapidly as attainable. When you’ve collected sufficient knowledge, assessment the strategy along with the folks concerned and determine if and the right way to proceed to use it. As product administration is context-sensitive, you might discover that some product portfolios are higher suited to the builder strategy than others, particularly in bigger enterprises.
However no matter you do because the Head of Product/CPO/VP of Product, assist your product managers minimise the time they need to spend on creating paperwork and writing necessities.[7] Empower them to recurrently communicate to actual customers, assessment and adapt strategic choices, set clear product targets, collaborate with tech groups, and decline requests from stakeholders. If that’s achieved, the precise paradigm shift has began.
Notes
[1] Enjoyable reality: Researching product builder job advertisements to raised perceive which corporations are hiring product builders, I discovered that the time period can be used for manufacturing jobs the place employees assemble merchandise on a manufacturing line.
[2] See the Scrum Information and Marty Cagan’s and Teresa Torres’ writing on product discovery and product groups. If you wish to be taught extra about my suggestions on the latter, learn the article Constructing Excessive-Performing Product Groups. If you wish to be taught extra about my suggestions on the latter, learn the article Constructing Excessive-Performing Product Groups.
[3] “Within the AI period, code high quality turns into extra—not much less—necessary. (…) Good code helps AI purpose clearly, whereas unhealthy code confuses each people and AI,” writes Nan You in a Thoughtworks article revealed in January 2026. See additionally my article Technical Debt and Product Success for insights on how software program high quality influences the worth a product creates and the right way to take away and forestall technical debt.
[4] This doesn’t suggest that product technique, discovery, and supply are sequential processes. The alternative is true. Insights gained in product supply and discovery assist evolve the product technique. Technique and execution are related, as I focus on within the article The Product Technique Cycle.
[5] I’ve been arguing for a few years that product technique is greatest understood as malleable and adaptive. Consequently, it must be reviewed and up to date recurrently, as I clarify in additional element within the article Steady Strategizing.
[6] I usually advise towards as senior managers making strategic choices for particular person merchandise as a longer-term resolution, as I clarify in additional element within the article Ought to a Head of Product Make Strategic Product Choices?
[7] To do that, assessment how product managers accomplish their work and whether or not the processes used are efficient. Subsequent, take away or exploit bottlenecks and remove wasteful duties. Examine if the standing reviews actually are useful, for instance. Ask if all person tales need to be captured intimately upfront (they often don’t). Lastly, discover how AI instruments can be utilized to automate the remaining duties and additional scale back the workload of the product managers. Automating a damaged course of with AI creates workslop and creates little influence on worker productiveness.