What each of these roles actually does, and, more importantly, when you actually need one, follows below. A few of these are still must-hire roles at almost any stage. A few have been substantially absorbed by AI-assisted tools, so a lean founding team can now cover them directly, at least early on. Knowing which is which saves you from hiring too early, and from trying to do it all yourself too long.
Knowing which roles to hire, and in what order, is one of the calls an operator makes early, because the wrong sequence is expensive to unwind. A product owner represents the interests of the business and the user community, translating what the company needs into what the team builds.
They determine the product features that will satisfy user needs, holding a clear view of both what the product can realistically deliver and which users actually want it.
They act as the liaison between the technical team and the customer base, prioritizing features and requirements so the team always knows what to work on next.
This is one of the earliest roles worth having someone own, even informally, because without it a team optimizes for building things instead of building the right things. At pre-seed, this is usually the founder. It becomes a dedicated hire once the founder can no longer hold the full picture alone.
A product manager, commonly called a PM, turns the product vision into an execution plan, sitting between the business and engineering.
Defining and prioritizing features, coordinating UI/UX, preparing user stories, and making sure the development team has what it needs to build. At a senior level, they also run product operations.
Development and testing engineers day to day, third parties for integrations or tech evaluations, and marketing and sales to keep the product aligned with what the market actually wants.
Distinct from Product Owner in most orgs by degree, not kind: Owner sets the what and why, PM runs the how and when at execution scale. A founder can often do both until the team is big enough that neither job gets done well split across other people's spare time.
A brand designer and a graphic designer are closely related roles. Brand design defines how the company communicates its mission visually; graphic design executes that identity across every asset.
Visualizing products the way the company wants its message understood, from logo to full design palette, grounded in an honest read of the brand and its target customers.
Product and marketing, ensuring visuals consistently reinforce the message. Often the same person does both jobs.
AI-assisted design tools have lowered the bar for a founder to get credible visuals without a hire, especially pre-launch. What they cannot do is make the brand-strategy call, what your company should actually stand for visually. That judgment is still worth paying for once the brand needs to hold up under real scrutiny.
An information architect makes sure a product's structure matches how users actually think, not how the org chart is organized.
Defining the information structure of the site or app, based on real analysis of user needs and how they categorize and consume information, including paper and interactive models of that structure.
Web developers and the production team, translating user behavior into the structures those teams build against.
This is the role most fully absorbed by modern tools and AI-assisted UX workflows: a small team can now prototype and test information structures directly, without a standalone hire. Worth revisiting as a dedicated role only once the product is complex enough that structure decisions have real, compounding cost if they are wrong.
The tech architect owns the technical shape of the product: how it is built, not just what gets built.
Designing the technical architecture, translating business requirements into a solution that runs efficiently, scales without a rebuild, and holds up under real load, and keeping that solution aligned with where the business is actually headed.
The development team, ensuring the design gets implemented correctly, and non-technical stakeholders, translating complex tradeoffs into decisions they can actually weigh in on.
Skip this at your own risk once you are past a true MVP. Early architecture decisions are the ones that are hardest to undo later, and this is the one role on this list AI tools do not meaningfully substitute for: judgment about tradeoffs under real constraints.
UX and UI are two sides of the same job: UX decides how something works, UI decides how it looks doing it.
UX designers build a user-centered flow, understanding how people will actually move through the product and developing flows that go logically from one point to the next, usually starting from a customer persona of who that person actually is. UI designers translate that flow into a visual experience that communicates clearly and looks like it belongs to your brand.
Product managers and engineers to gather requirements, and brand design to keep visuals on-brand.
AI-assisted design tools have compressed a lot of the production work here, but the underlying judgment, what the user actually needs to see and do at each step, is still a real skill. A solo founder can prototype credibly; a product with real usage still benefits from someone who owns this full-time.
The software developer builds the product from a code and systems perspective.
Writing and testing code, translating design and technical requirements into a working product, and owning the quality and efficiency of what ships.
Product managers and owners, helping them understand what is technically possible and what tradeoffs a given feature actually costs.
AI coding assistants have changed how much one developer can cover, not whether you need one. If you are not building solo, this is usually the first hire, or the first vendor relationship, that actually determines whether anything ships.
The software project manager runs the project end to end, giving the development team technical direction and keeping everyone aligned on goals, timelines, and progress.
Overseeing product and people, resolving blockers, and making sure delivery happens on time and on budget.
Developers and designers directly, keeping the whole team pointed at the same goal.
This role tends to appear once a team is big enough, or distributed enough, that coordination itself becomes a job. A small, co-located team usually does not need it yet; a team spread across time zones or vendors usually needs it sooner than expected.
Quality assurance exists to make sure the product actually works the way it is supposed to, before your users find out otherwise.
Functional, usability, and performance testing, reviewing specs and design documents, and building test cases that catch problems before launch, not after.
The development team directly, closing the loop between bugs found and bugs fixed.
AI-assisted testing tools now handle a meaningful share of this work, especially rote regression testing, which means a lean team can cover more ground without a dedicated hire early on. What still needs a person: deciding what "good enough to ship" actually means for your specific users, which is a judgment call, not a test suite.
DevOps covers how the product actually gets deployed, secured, and kept running, the operational half of building software. It spans coding, scripting, deployment automation, and version control.
Efficient, reliable deployment; ongoing security, including defending against real threats; and making sure the team can update the product and resolve issues quickly once it is live. This includes unit testing code before it ships, so defects surface at the testing stage rather than in production.
Development and operations both, since this role exists specifically to close the gap between them.
Often skipped too long by early teams who treat it as a later-stage problem. It is not: a security incident or a bad deploy can cost you credibility with your first real customers, the ones you can least afford to lose.
As the product nears launch, marketing becomes essential to create awareness and demand. This typically starts with a product marketer, responsible for crafting the product's message and running it across channels.
Once the product is ready for release, the marketer's job is to get it in front of the people who need it.
Promoting the product and generating real interest, building a marketing plan, creating promotional material, and tracking what is actually working so the plan can adjust.
The rest of the marketing and sales team, plus data analysts, to keep the message aligned with what the market is actually responding to.
Often the role founders try to skip the longest, on the assumption a good product sells itself. It rarely does. AI tools have made content production faster, but the strategy underneath it, who you are actually talking to and why they should care, is still a real job.
The data analyst turns what is actually happening in your product into decisions you can act on.
Collecting, processing, and analyzing data to surface real insight, often working directly with your database and analytics tooling to build the reports leadership actually uses.
Business leaders and stakeholders directly, since the whole point of the role is getting real findings in front of the people making decisions.
This is another role substantially reshaped by AI-assisted analysis: a founder with the right tools can now self-serve a lot of what used to require a dedicated analyst. What still needs a person: knowing which questions are actually worth asking about your business, and catching when the data is telling you something you would rather not hear.
It depends on whether the founder is technical. A non-technical founder usually needs a software developer first, since nothing ships without one, but should bring in product help early too, even part time, to define the roadmap and make sure the developer is building the right thing in the right sequence, with a part-time designer close behind to shape UX and UI. A technical founder can often hold the product and architecture judgment personally and hire the developer role out. AI has compressed a lot of the production work across these roles, but it has not removed the need for product wisdom and sound architecture early, so those still belong near the top of the list regardless of which path you are on.
Yes, and at pre-seed it is the norm, not the exception. A founder typically holds Product Owner and Product Manager together, since the two are distinguished by degree, not kind, and a designer or developer often absorbs Brand/Graphic Designer or Information Architect duties with AI-assisted tools doing the production work. This holds until the overlap itself becomes the bottleneck: when no single person can hold the full picture, or when one of the combined roles needs a decision made every day instead of when there is spare time for it.
AI has meaningfully absorbed Information Architect, large parts of Brand/Graphic Designer and UX/UI Designer production work, and a share of QA regression testing and Data Analyst self-service. It has not substituted for Tech Architect: judgment about technical tradeoffs under real constraints, where early decisions are the hardest to undo, is still a job for a person. Software Developer has shifted, not disappeared. One developer can now cover more ground with AI assistance, but the role itself remains very important, especially when moving from prototype to production-ready.
Watch for the point where the role needs a decision every day rather than attention when there is time for it, or where holding it alongside everything else starts degrading a different role you are also covering. Information Architect and QA are usually the last to convert, since AI-assisted workflows extend how long a founder can hold them solo; Tech Architect and Software Developer convert earliest, because getting either wrong compounds quickly and is expensive to unwind.
A common failure is hiring execution roles, like a developer, before the Product Owner function has an actual owner, even if it is not a separate hire. This can result in a team that builds efficiently but in the wrong direction. Another mistake is delaying DevOps too long by treating it as a later-stage problem, which turns a routine deploy or security gap into a credibility hit with your first real customers right when you can least afford it.
The tech industry, and the roles needed to build a product, keep evolving, and AI has genuinely changed which of these you need to hire versus which you can now cover yourself, at least early on. What has not changed is the underlying discipline: knowing which roles matter at your specific stage, and sequencing them right, is itself a skill, arguably the first one worth getting help with.
Effective communication and collaboration across the roles you do bring in, whether hired or AI-assisted, remains essential. These roles, in whatever combination fits your stage, are what stands between an idea and a product real customers actually use.
Ready to figure out which of these you actually need right now? Let us show you how.
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