Scaling Your Product Engineering Team: Tips and Strategies

Alexandra Moore
Alexandra Moore ·

Scaling Your Product Engineering Team: Tips and Strategies

Scaling a product engineering team is a complex and multifaceted challenge that requires careful planning, strategic decision-making, and a deep understanding of the evolving needs of your organization. Whether you are transitioning from a small startup to a mid-sized company or expanding into a large enterprise, the principles of scaling your engineering team remain crucial for maintaining efficiency, innovation, and alignment with business goals.

Understanding the Stages of Growth

When scaling your product engineering team, it is essential to recognize the different stages of growth and the unique challenges each stage presents.

Seed Stage to 10 Engineers

At the seed stage, the focus is primarily on building the initial product and achieving product-market fit. During this phase, the technical founder or a hands-on engineering leader is typically at the helm, involved directly in coding and strategic architecture decisions.

10 to 20 Engineers

As the team grows beyond 10 engineers, introducing more structure becomes necessary. This includes bringing in at least one manager to prioritize projects, manage workloads, and establish basic operational and technical processes. At this stage, career paths and performance plans are not yet a priority, but having a single person responsible for aligning the team towards common goals is crucial.

20 to 50 Engineers

Around the 20-engineer mark, the leadership requirements shift significantly. You need to determine whether the current CTO can scale the organization further or if an engineering leader with expertise in people management and scaling is required. This decision depends on whether your biggest challenges are people-related or product-related.

Key Principles for Scaling

Several key principles are essential for effectively scaling your product engineering team.

Align Team Structure with Current Product Architecture

The team structure should reflect the current product architecture rather than hypothetical future changes. For monolith architectures, teams should be organized by product pillars or features, while for microservice architectures, teams should be organized by independent microservices.

Design Highly Cohesive, Loosely Coupled Teams

Teams should be designed with high cohesion and low coupling, allowing them to work autonomously towards common goals while maintaining clear communication channels with other teams. This approach ensures that each component of the system has a single, well-defined responsibility and minimal dependency on other components.

Adopt a Team-First Approach

High-performing engineering organizations build teams around services rather than services around teams. Cross-functional teams with development, QA, and operational skills should be established, and each service or component should be owned by a single team. This model fosters extreme ownership, accountability, and higher efficiency.

Foster Autonomy and Agility

Encourage autonomy within teams by ensuring they have the necessary skills and resources to make decisions independently. This includes nurturing a culture where teams can adapt quickly to changing requirements without needing extensive external oversight.

Limit Frequent Team Reorganizations

Frequent team reorganizations can disrupt software delivery and hinder the team's ability to reach their full potential. Recognize that new teams go through the 'forming-storming-norming-performing' evolution stages and allow them sufficient time to stabilize before making significant changes.

Maintain Specialist Teams

Having a small percentage of the engineering workforce as a specialist team can be highly beneficial. These teams can tackle complex business requirements and provide expertise to product teams as needed. Rotate engineers from product teams into the specialist team to ensure a broad range of skills and knowledge.

Leadership Adjustments

As your engineering team scales, the leadership requirements evolve significantly.

Adjust Leadership to Fit Your Stage

The skills and experiences required from an engineering leader change as the team grows. For instance, a leader who excels at the seed stage may not be the best fit for scaling the team beyond 20 engineers. Regularly evaluate your engineering leadership to ensure they have the necessary skills to address the current challenges of the organization.

Mentorship and External Support

For leaders who can rise to the challenge of scaling but need additional support, consider providing outside mentorship or partnering with experienced engineering leaders. This can help in leveraging metrics and continuously improving the organization.

Communication and Collaboration

Effective communication and collaboration are vital for scaling engineering teams.

Balance Communication

Foster communication within teams for predictability and efficiency, but limit cross-team communication to prevent increased dependency and blurred accountability. Reserve cross-team collaboration for initiatives requiring collective problem-solving.

Cross-Functional Teams

Build cross-functional teams equipped with development, QA, and operational skills. Ensure every service or component is owned by a single team to foster ownership and accountability. This approach helps in maintaining clear lines of communication and alignment towards common goals.

Training and Onboarding

A well-structured training and onboarding process is crucial for integrating new engineers into the team seamlessly.

Iterative Recruiting Process

Continuously evolve your recruiting process to meet the changing needs of your organization. At Stripe, for example, they started with a small number of roles and gradually expanded to hire across multiple pipelines, including Android, machine learning, and security. This approach helped in increasing offer acceptance rates and ensuring specialists in every pipeline.

Practical Onboarding Programs

Implement practical onboarding programs that involve new engineers in real projects from the outset. Stripe's /dev/start program, for instance, introduces new engineers to the technical stack by solving practical problems in the main application, with the support of volunteer mentors and one-on-one feedback.

Cultural and Soft Skills Considerations

Cultural fit and soft skills are often overlooked but are critical components of a scalable engineering team.

Psychological Safety

Ensure that your team culture promotes psychological safety, where engineers feel comfortable sharing ideas, asking questions, and learning from mistakes. This fosters a collaborative and innovative environment.

Bureaucracy and Tech Debt

Addressing bureaucracy and tech debt early on is essential. Encourage a culture where teams prioritize automated testing, CI/CD, and addressing tech debt to prevent these issues from becoming major hurdles as the team scales.

Conclusion

Scaling a product engineering team is a multifaceted challenge that requires careful planning, strategic leadership, and a deep understanding of the evolving needs of your organization. By aligning your team structure with your current product architecture, fostering autonomy and agility, and ensuring effective communication and collaboration, you can set your team up for long-term success.

If you're looking to scale your product engineering team efficiently and effectively, consider the strategies outlined above. For additional support in scoping out your next technical product, sign up to Scopebird, a SaaS platform that leverages AI to help you plan and execute your product development with precision and speed.

Sign up to Scopebird today and transform the way you approach product engineering.

Get all of our updates directly to your inbox.