Scaling engineering teams from 10 to 100
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Scaling engineering teams from 10 to 100

Growing from a startup engineering team to enterprise scale is one of the hardest challenges in tech. Learn the organizational patterns, processes, and cultural shifts that enable sustainable growth.

I
IMBA Team
Published onMay 5, 2025
9 min read

Scaling engineering teams from 10 to 100

The journey from a 10-person engineering team to 100+ is one of the most challenging transitions in technology organizations. What works at 10 breaks at 30, and what works at 30 fails spectacularly at 100. According to DORA research, only 18% of organizations successfully maintain their engineering velocity through hypergrowth phases.

The scaling challenge by numbers

0%
Teams Maintaining Velocity
0 years
Avg Time to Scale 10x
0%
Productivity Dip During Scale
0:1
Manager-to-IC Ratio Target

According to research from MIT Sloan, engineering productivity typically drops 30-40% during rapid scaling phases, with recovery taking 12-18 months after growth stabilizes.

Organizational evolution stages

10 Engineers
The Startup Phase

Flat structure, everyone does everything, verbal communication, minimal process.

25 Engineers
The First Structure

First tech leads emerge, basic team boundaries, some written documentation.

50 Engineers
The Scaling Transition

Multiple teams, engineering managers, formal processes, growing pains peak.

75 Engineers
The Platform Phase

Platform teams emerge, internal tools, standardization, architectural review.

100+ Engineers
The Enterprise Phase

VP-level leadership, multiple managers of managers, formal org design.

The Dunbar Danger Zone: Teams between 30-70 engineers face the highest risk of dysfunction. Small enough that old patterns feel possible, large enough that they don't work. This is where intentional organizational design becomes critical.

Team structure evolution

1
Single Team

10 engineers, 1 tech lead, everyone knows everything

2
Feature Teams

25 engineers, 3-4 teams, feature ownership, some specialization

Pod Structure

50 engineers, cross-functional pods, product + engineering alignment

Domain Teams

75 engineers, bounded contexts, platform vs product split

5
Tribes & Squads

100+ engineers, spotify model variants, chapters for disciplines

The hiring challenge

Typical Engineering Hiring Funnel (% remaining)

0 days
Time to Hire (Sr. Eng)
0 avg
Interviews per Hire
0 hires/month
Recruiter Capacity
0 months
Onboarding to Productivity

Building the management layer

Engineering Management Roles by Team Size

Feature10 Engineers30 Engineers60 Engineers100 Engineers
Tech Lead
Engineering Manager
Sr Engineering Manager
Director of Engineering
VP Engineering
CTO

Promote or Hire?: The best engineering managers are often promoted from within. But rapid scaling requires external hires too. Aim for 60-70% internal promotions to maintain culture, 30-40% external hires for new perspectives.

Process evolution

At 10
Minimal Process

Ship when ready, informal code review, verbal standups, Slack everything.

At 30
Basic Structure

Sprint planning, PR requirements, deployment pipelines, incident response basics.

At 50
Formalized Practices

Architecture review, RFC process, career ladders, formal 1:1s, OKRs.

At 75
Governance Layer

Tech radar, investment committees, security reviews, compliance processes.

At 100
Scaled Agile

Cross-team coordination, dependency management, portfolio planning.

Communication at scale

Communication Mix at 100+ Engineers

1
Write Things Down

RFCs, ADRs, runbooks, docs become the source of truth

2
Default Async

Meetings for decisions only, updates via docs

3
Clear Ownership

Every system, service, process has clear owners

4
Structured Sync

Weekly team syncs, monthly all-hands, quarterly planning

Information Radiators

Dashboards, wikis, status pages for self-service

Context over Control

Share why decisions are made, not just what

Technical architecture for scale

Technical Practices Adoption at Scale (%)

The platform team imperative

Platform Investment vs Team Velocity

Platform ROI: Organizations that invest 20-30% of engineering capacity in platform/infrastructure see 40-50% higher productivity across product teams compared to those without dedicated platform investment.

Culture preservation during growth

0%
Culture Dilution Risk
0% have
Values Documentation
0% evaluate
Values in Hiring
0% require
Culture Training
1
Document Values

Write down what makes your culture special

Hire for Values

Screen for cultural fit in addition to skills

3
Onboard Intentionally

Culture bootcamp for all new engineers

4
Celebrate Examples

Recognize behaviors that exemplify values

5
Address Violations

Culture issues must have consequences

6
Evolve Deliberately

Culture should evolve, but intentionally

Common scaling mistakes

Common Scaling Mistakes Frequency (%)

The Hiring Trap: "A players hire A players, B players hire C players." Maintaining hiring bar during hypergrowth is essential. One bad hire at a senior level can set the organization back months.

Metrics for healthy scaling

Key Metrics by Organization Size

Feature10 Engineers50 Engineers100 Engineers
Deploy Frequency
Lead Time
MTTR
Change Failure Rate
Employee NPS
Voluntary Turnover

FAQ

Q: When should we make our first engineering manager hire? A: When you have 10-15 engineers and the technical leader is spending more than 50% of their time on people management. Don't wait until you're overwhelmed.

Q: Should we hire experienced managers or promote from within? A: Ideally both. Promote your best technical leaders who want to manage, and hire experienced managers who can mentor them. The mix provides both culture continuity and new perspectives.

Q: How do we maintain velocity during rapid hiring? A: Accept a temporary productivity dip. Budget 20-30% of senior engineer time for onboarding. Pair new hires with experienced engineers. Strong documentation reduces ramp-up time.

Q: When do we need to split into multiple teams? A: When the current team exceeds 8-10 people, when communication overhead increases significantly, or when you can define clear ownership boundaries. Earlier is usually better than later.

Sources and further reading

Scale with Confidence: Growing engineering organizations requires expertise across hiring, organizational design, and technical architecture. Our team has helped companies successfully scale through hypergrowth phases. Contact us to discuss your scaling strategy.


Preparing to scale your engineering organization? Connect with our engineering leadership experts to develop a tailored growth plan.

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IMBA Team

IMBA Team

Senior engineers with experience in enterprise software development and startups.

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