Scaling Engineering Teams Across Multiple Products

Building and scaling engineering teams across multiple products is one of the most demanding challenges in technology leadership. In my most recent role as Head of Engineering and later CTO, I led a fully remote engineering organization supporting multiple Strategic Business Units (SBUs), each with its own roadmap, customers, and operational realities.

Here's what that experience taught me.

The Challenge of Multi-Product Engineering

When you're responsible for engineering across multiple products — especially in a fully remote environment — the complexity multiplies.

You're not just scaling software. You're scaling coordination.

Common challenges included:

• Context switching — Engineers and leaders operate across different domains and business models.
• Shared infrastructure — Platform capabilities must serve multiple stakeholders without becoming a bottleneck.
• Consistency vs. autonomy — Teams need freedom to ship fast without fragmenting standards.
• Talent allocation — Strong engineers must be positioned where impact compounds.
• Remote coordination — Without hallway conversations, clarity must be intentional.

In remote organizations, structure replaces proximity.

Without systems, teams drift.

Building a Governance Framework

The first thing I implemented was a lightweight governance framework.

Not bureaucracy — but a living operating model that allowed teams to move independently while remaining aligned.

Core Principles

1. Own your domain, share your knowledge — Each product team owned its roadmap and architectural decisions, but documentation and design decisions were shared transparently across the organization.

2. Standardize the boring stuff — CI/CD pipelines, monitoring, logging, infrastructure patterns, and deployment processes were identical across teams. Innovation happened at the product layer — not in how we deployed containers.

3. Async-first communication — With engineers across multiple time zones, we prioritized written communication, decision logs, and structured updates over reactive meetings.

4. Platform governance, product autonomy — Product teams moved fast. Platform standards ensured long-term sustainability.

The Team Topology That Worked

After iterating through different structures, I implemented a topology inspired by Team Topologies principles — optimized for a remote-first organization.

Stream-Aligned Teams

Each product had a dedicated stream-aligned team owning the full stack:

• Frontend
• Backend
• Database
• Production support

This ensured autonomy and end-to-end ownership.

One of these teams stabilized and scaled a multi-tenant SaaS platform serving over 500 institutions. By redefining service boundaries, improving tenant isolation, and strengthening CI/CD pipelines, we moved from fragile deployments to stable, predictable releases — even during peak traffic events.

Platform Team

A centralized platform team served all SBUs by providing:

• Shared authentication and authorization
• API gateway standards
• Kubernetes deployment models
• Monitoring and observability stack
• Infrastructure-as-Code governance
• Developer experience tooling

Standardization at the platform layer prevented architectural fragmentation while allowing product differentiation.

Enabling Team

A small enabling team rotated across stream-aligned teams to assist with:

• Technical debt reduction
• Performance optimization
• Security hardening
• AI-assisted development workflows
• Cloud cost optimization

This model prevented stagnation and continuously elevated engineering maturity.

Metrics That Actually Matter

I've seen organizations drown in vanity metrics. We focused on the ones that change behavior.

These DORA metrics anchored conversations in outcomes, not activity.

In remote environments, output visibility can become distorted. Flow metrics restore clarity.

Hiring and Growing Engineers

Scaling teams requires intentional hiring and structured growth systems.

What I Look For

Beyond technical proficiency, I prioritize:

• Systems thinking — Can they understand architectural ripple effects?
• Communication clarity — Can they explain complex ideas simply?
• Ownership mentality — Do they own outcomes, not just tickets?
• Remote discipline — Can they operate independently without constant supervision?
• Growth orientation — Are they continuously improving?

The 30-60-90 Onboarding Plan

Every engineer received a structured onboarding framework:

• First 30 days — Understand the product architecture, ship a small feature, pair with a senior engineer.
• 60 days — Own a feature end-to-end, participate actively in code reviews, contribute to documentation.
• 90 days — Propose a system improvement, contribute to architectural discussions, mentor newer team members.

Structured onboarding reduces ramp-up time and builds confidence early — especially in remote environments.

Speed With Structure

One of our most ambitious initiatives was building a B2B SaaS platform composed of 15 microservices — shipped to production in 10 days.

Fully remote.

That speed wasn't accidental.

It was enabled by:

• Predefined service templates
• Standardized CI/CD
• Infrastructure-as-Code
• Clear domain segmentation
• AI-assisted scaffolding
• Decisive architectural leadership

Speed without structure creates chaos.

Speed with structure creates momentum.

Lessons Learned

After scaling multiple remote product teams, these lessons stand out:

1. Invest in developer experience — Tooling friction compounds across teams. Fix the platform first.

2. Architecture enables autonomy — Clean service boundaries reduce coordination overhead.

3. Culture scales through systems — Values must be embedded into rituals, documentation, and automation.

4. Transparency builds trust — In remote teams, clarity replaces assumption.

5. AI amplifies disciplined systems — Automation multiplies strong foundations but exposes weak ones.

The best leaders design systems that function without their constant intervention.

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Have questions about scaling engineering teams? Get in touch — I'm always happy to discuss engineering leadership.