Engineering • Leadership • Fundraising

How to Structure Your Engineering Team After Series A

Series A changes everything. You go from 2-3 developers hacking on the product to needing a real team structure. Get it wrong and you burn through runway. Get it right and you build a foundation that scales.

Mike Tempest • 11 min read • 2 April 2026

Before Series A, engineering structure barely matters. You have two or three developers, everyone knows what everyone else is doing, and coordination happens naturally over Slack and standups. The code is messy but it ships. The team is small enough that process would just slow you down.

Then you raise. Suddenly you have capital to hire, pressure to scale, and 18 months to prove the business model works. The question is no longer whether to hire engineers, but how to structure them into a team that can actually deliver.

Most founders get this wrong. They either hire too fast and create chaos, or they copy structures from companies ten times their size. Both approaches waste money and momentum. What you need is a pragmatic approach that matches your actual stage -- not where you want to be in three years.

This guide covers what I have learned from building and advising engineering teams through the Series A transition. It is opinionated because vague advice is useless. Your situation may differ, but these principles have held true across dozens of startups in my work with post-funding founders.

The Series A Engineering Inflection Point

The transition from seed-stage scrappiness to Series A structure is one of the hardest shifts in a startup's life.

At seed stage, your engineering team operates on trust and shared context. Everyone knows the codebase. Everyone talks to customers. Everyone makes architectural decisions on the fly. This works when you have 2-4 people. It breaks completely at 6-8.

The inflection point typically hits when you cannot fit all engineers in one room and have them all understand what is happening. At that moment, you need structure: clear ownership, defined processes, and someone whose job is to make the team work rather than just writing code.

What changes after Series A:

Coordination becomes a real cost

With 2 engineers, coordination is trivial. With 8, it is a full-time job. If you do not invest in coordination explicitly, it happens implicitly through meetings, Slack threads, and people blocking each other. The coordination tax grows quadratically with team size.

Knowledge stops being shared automatically

At seed stage, everyone knows everything because everyone is in every conversation. Post-Series A, you have to be intentional about documentation, onboarding, and knowledge sharing. If you do not build these systems, new hires take months to become productive.

Quality decisions need process

When one person makes all technical decisions, consistency is automatic. When five people make decisions independently, you get inconsistent architecture, competing approaches, and technical debt that compounds. You need lightweight processes for technical decisions without creating bureaucracy.

Hiring becomes continuous

At seed stage, you hire one or two people and stop. After Series A, you are always hiring. This means someone needs to own the pipeline, run interviews, and make hiring a repeatable process rather than an ad-hoc scramble. See what to look for in your first engineering hire.

First Hires Matter Enormously

Your first 3-4 post-Series A hires will define your engineering culture for years. Get them wrong and you will spend years fixing it.

The single most important principle: hire senior generalists before specialists. Your first post-Series A engineers should be people who can work across the stack, make good architectural decisions independently, and mentor others. Specialists come later.

Here is why this matters. A senior generalist can:

Pick up any part of the codebase and be productive within days
Make sound technical decisions without constant supervision
Train junior engineers when you hire them later
Cover for each other during holidays, illness, or departures
Identify architectural problems before they become expensive

A specialist, by contrast, is brilliant in their domain but creates dependencies. If your only infrastructure person is on holiday when AWS goes down, you have a problem. If your only iOS developer leaves, you have a bigger problem.

The time for specialists is when you have enough generalists to provide coverage, and when a specific domain has grown complex enough to justify dedicated expertise. For most Series A startups, that is not yet.

What senior generalists look like

7-12 years of experience. Worked at startups before, ideally through a growth phase. Comfortable with ambiguity. Can explain technical concepts to non-technical people. Has opinions about architecture but is not dogmatic. Has shipped production code in multiple languages or frameworks. These engineers are expensive -- expect to pay £90-130k in London -- but they are worth it. Read more in building your first engineering team.

Team Topology: Squads vs Functions

How you organise engineers matters less than you think at 5-8 people, and more than you think at 10-15.

There are two basic models for organising engineers: functional teams (frontend, backend, mobile, infrastructure) and cross-functional squads (each squad owns a product area end-to-end). Both can work. The question is which one fits your current reality.

Functional teams (5-8 engineers)

At small scale, functional teams are simpler. All backend engineers work together, share context, and can cover for each other. Coordination happens through clear handoffs: backend builds the API, frontend consumes it.

Works when: Your product is relatively simple, you do not have distinct product domains, and your team is small enough that everyone can stay aligned through daily standups.

Cross-functional squads (10-15 engineers)

As you grow, squads start to make sense. Each squad owns a customer problem end-to-end: the Growth squad, the Payments squad, the Platform squad. They can ship independently without waiting for other teams.

Works when: You have clear product domains that can operate independently, each squad can own something meaningful, and you have enough engineers to staff each squad with at least 3-4 people.

The common mistake is adopting squads too early. A squad of two people is not a squad -- it is a pair with no backup. If your Product squad is one frontend and one backend engineer, you have created a single point of failure for your entire product area. When someone is sick or on holiday, work stops.

My recommendation: stay with functional teams until you have at least 10 engineers and can staff each squad with 3-4 people minimum. Then transition to squads gradually, starting with the most independent product area.

Do not copy FAANG structures

Spotify's squad model is famous. Google's SRE practices are legendary. Neither is appropriate for a 10-person startup. These structures evolved to solve coordination problems at massive scale. At your scale, they create overhead without benefit. Build the simplest structure that works. Add complexity only when the pain of not having it exceeds the cost of maintaining it.

The VP Engineering Question

When you need one, what they actually do, and why you probably do not need one yet.

The VP Engineering question comes up in almost every post-Series A conversation I have. Founders have heard they need one. Investors ask about it. The honest answer is: you probably do not need one yet, and hiring one too early is a common mistake.

Understanding the difference between CTO and VP Engineering is crucial here. In brief:

CTO (or fractional CTO)

Technical strategy and architecture
Technology roadmap and vision
External representation (investors, partners)
Build vs buy decisions
Technical due diligence support

VP Engineering

Team operations and delivery
Hiring pipeline and process
Engineering manager development
Sprint planning and execution
Performance management

The VP Engineering role makes sense when you have 8-12 engineers and the operational burden of running the team is substantial. Before that, a strong engineering manager or tech lead can handle team operations, and a CTO (full-time or fractional) can handle strategy.

Signs you are ready for a VP Engineering:

You have 8+ engineers and expect to grow to 15+ in the next year
Hiring is taking more than 20% of someone's time
You have or need multiple engineering managers
Delivery is suffering because no one owns team operations
Your CTO is spending more time on people management than technical strategy

If none of these apply, you probably do not need a VP Engineering yet. A fractional CTO can provide strategic guidance while your existing team handles operations. This is a common pattern I see working well in the 5-10 engineer range.

Reporting Structures That Work

Who reports to whom matters. Get it wrong and you create bottlenecks, confusion, and frustrated engineers.

The most common mistake non-technical founders make is having all engineers report directly to them. This seems sensible -- you are the CEO, you want to know what is happening -- but it creates three problems.

Problem 1: You cannot give engineers what they need

Engineers need technical mentorship, code review, and career guidance from someone who understands their work. A non-technical founder, however capable, cannot provide this. Your engineers will feel unsupported and start looking elsewhere.

Problem 2: You become a bottleneck

With 8 engineers reporting to you, you have 8 one-on-ones per week. Add hiring, investor relations, sales, and actually running the company, and you are spread too thin. Engineers wait for decisions. Work slows down.

Problem 3: You cannot evaluate performance

How do you know if an engineer is doing well? You cannot read their code. You do not understand why a pull request took three days. Without technical context, you will either trust blindly or micromanage ineffectively. Neither works.

The solution is straightforward: engineers should report to a technical leader. At small scale (5-8 engineers), this might be a senior engineer who acts as tech lead, with the CEO or a fractional CTO providing strategic oversight. At larger scale (10-15 engineers), you need a proper engineering manager layer. These structural decisions should align with your broader technical strategy, including how you approach data infrastructure as the team grows.

Recommended structures by team size

5-8 engineers: All engineers report to a tech lead or engineering manager. Tech lead reports to CEO with input from fractional CTO.

8-12 engineers: Engineers split across 2 tech leads or engineering managers. Tech leads report to CTO or VP Engineering.

12-15 engineers: 3-4 squads with tech leads. Tech leads report to VP Engineering. VP Engineering reports to CEO. CTO focuses on strategy.

Common Mistakes to Avoid

I see the same mistakes repeatedly. Learn from others' expensive errors.

Hiring too fast

You have money now. The temptation is to hire quickly. Resist it. Each hire takes 2-3 months to become productive. If you hire 5 people in one month, you have 5 people who cannot contribute effectively and no one to onboard them.

Better approach: Hire one engineer, onboard them properly, get them productive, then hire the next. Aim for one hire per month maximum. Quality over speed.

Hiring too junior

Junior engineers are cheaper. But they need mentorship, make more mistakes, and take longer to become productive. Without senior engineers to train them, junior hires struggle and leave, wasting your investment.

Better approach: Your first 3-4 post-Series A hires should be senior. Once you have a core of seniors, you can bring in juniors who can learn from them. The ratio should be roughly 2:1 senior to junior.

Copying FAANG structures

I mentioned this earlier but it bears repeating. Spotify's squad model, Netflix's culture deck, Google's engineering practices -- these are designed for companies with thousands of engineers. At your scale, they create bureaucratic overhead that slows you down.

Better approach: Build the simplest structure that works. Add complexity only when the pain of not having it is clear and specific. You can always add process later. Removing it is much harder.

Neglecting platform and infrastructure

At seed stage, you can get away with manual deployments, limited monitoring, and quick-and-dirty infrastructure. Post-Series A, this becomes a liability. Without investment in platform, every new feature becomes harder to ship and maintain.

Better approach: Dedicate 15-20% of engineering capacity to platform and infrastructure from the start. This might be one person initially, or shared time across seniors. It compounds: good infrastructure makes everyone faster.

Moving from agency without a plan

If you built your MVP with an agency, the transition to in-house is particularly tricky. You need knowledge transfer, documentation, and time for your new team to understand a codebase they did not write.

Better approach: Budget for overlap. Keep the agency engaged for 2-3 months after your first in-house engineers start. Use that time for knowledge transfer, not new features. The agency's job during handover is to make themselves unnecessary.

The Role of a Fractional CTO in This Transition

How part-time technical leadership fits into the post-Series A picture.

A common question from founders: do I need a full-time CTO, or can a fractional CTO handle this? The answer depends on what you need.

A fractional CTO working 2-3 days per week can effectively:

Set technical strategy and architecture direction
Design and implement your team structure
Lead hiring for senior roles and help evaluate candidates
Establish engineering processes and practices
Provide mentorship to tech leads
Represent technology to the board and investors
Make build vs buy decisions

What a fractional CTO cannot do is day-to-day engineering management. If you need someone running standups, doing one-on-ones with every engineer, and managing sprint delivery, you need full-time presence. That role is an engineering manager or VP Engineering, not a CTO.

The sweet spot for fractional CTO engagement is often 5-12 engineers. Below 5, you might not need senior technical leadership yet. Above 12, you probably need someone full-time, either a VP Engineering for operations or a full-time CTO for strategy (or both).

At the 5-12 engineer stage, a fractional CTO plus a strong internal tech lead is often the ideal combination. The fractional CTO provides strategic guidance, architecture oversight, and senior hiring support. The tech lead handles day-to-day operations, code review, and team coordination. Together, they cover both bases at a fraction of the cost of a full-time executive hire.

The Bottom Line

Structuring your engineering team after Series A is not about following a playbook. It is about building the simplest structure that lets your team ship effectively at your current scale, with clear paths to evolve as you grow.

The key principles:

Hire senior generalists before specialists
Keep structures simple -- functional teams before squads
Engineers should report to technical people, not the CEO
You probably do not need a VP Engineering yet
Do not copy structures designed for much larger companies
Invest in platform and infrastructure early
Hire slowly and onboard properly

The goal is not to build a perfect org chart. The goal is to build a team that can ship product, iterate quickly, and scale without collapsing under its own coordination overhead. Everything else is secondary.

Get the first few hires right, keep the structure simple, and evolve as the pain points become clear. That is how you build a foundation that scales.

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Need help structuring your engineering team after Series A?

I work with funded startups as a Fractional CPTO, helping non-technical founders build and scale engineering teams. Start with a free strategy day to review your current structure and plan your next hires.

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Frequently Asked Questions

How many engineers should I hire after Series A?

Most Series A startups aim to grow from 2-4 engineers to 8-15 over the first 12-18 months. The exact number depends on your product complexity, runway, and growth targets. A common mistake is hiring too fast -- quality matters more than quantity. Aim to hire one engineer at a time, integrate them properly, then hire the next. Batch hiring of 3-4 engineers simultaneously often leads to cultural dilution and onboarding chaos.

When should I hire a VP of Engineering?

Consider a VP Engineering when you have 8-12 engineers and need someone focused full-time on team operations, hiring pipelines, and engineering processes. Before that point, a strong engineering manager or fractional CTO can handle these responsibilities. The VP Engineering role makes sense when the operational burden of running the team is taking significant time away from technical strategy and product direction.

Should I use squads or functional teams?

At 5-8 engineers, functional teams (frontend, backend, etc.) are usually simpler and more appropriate. Move to cross-functional squads when you reach 10-15 engineers and have clear product domains that can operate independently. Squads work best when each squad can own a meaningful customer problem end-to-end. If your product is too interconnected for this, squads will create more coordination overhead than they solve.

What is the biggest hiring mistake after Series A?

Hiring too junior. Seed-stage startups often hire junior developers to save money. After Series A, the temptation is to keep doing this. But you need senior engineers who can work autonomously, make good technical decisions, and mentor others. Your first 2-3 post-Series A hires should be senior generalists. Junior hires make sense later, once you have seniors who can train them.

How should reporting structures work in a small engineering team?

With 5-8 engineers, everyone can report to a single engineering lead or CTO. Avoid the 'everyone reports to the CEO' trap -- non-technical founders should not have 8 engineers reporting directly to them. At 10-15 engineers, introduce a layer of tech leads or engineering managers. Each manager should have 4-7 direct reports. More than that, and they cannot give proper attention to each person.

Mike Tempest

Fractional CPTO

Mike works with funded startups as a Fractional CPTO, helping non-technical founders build and scale engineering teams. He has led engineering at companies from seed stage to 50+ person teams, including the Series A transition that this article covers.

Learn more about Mike