I was in a board meeting last week, presenting our Q1 engineering metrics. I showed our DORA scores—deployment frequency up 40%, lead time cut in half, change failure rate down to 2%. I was proud of these numbers. They represented months of platform investment, process improvements, and team development.
The CFO interrupted: “How does this impact our CAC payback period?”
I paused. Not because I didn’t know the answer, but because I was struck by how much of my job has become translating engineering excellence into financial terms. When did this become my primary skill?
The Evolution Nobody Prepared Us For
When I started as a software engineer at Google ten years ago, success was clear: ship features, fix bugs, optimize performance, mentor junior engineers. The metrics were technical. The conversations were technical. The career ladder was technical.
Now, as VP of Engineering at a high-growth startup, I spend more time translating than architecting:
- Technical debt → business risk and opportunity cost in quarters lost
- Platform engineering investments → developer productivity improvements and reduced time-to-market
- Quality improvements → customer satisfaction scores and churn reduction percentages
- Team scaling decisions → revenue capacity models and growth trajectory projections
- Architecture refactoring → maintenance cost savings and feature velocity acceleration
I’m not complaining about business alignment. I understand why it matters. Engineering doesn’t exist in a vacuum—we serve business goals and create customer value.
But here’s what bothers me: this translation work is never-ending, and nobody teaches it.
The Skills Gap
Computer Science programs teach algorithms, data structures, distributed systems. Engineering bootcamps teach frameworks, best practices, agile methodologies. Even engineering management books focus on team dynamics, hiring, and technical strategy.
Nobody teaches you how to explain why refactoring a legacy authentication system will save $200K annually in support costs and reduce security incident response time by 60%. Nobody prepares you for the quarterly ritual of justifying platform investments that won’t show measurable impact for 6-9 months.
You learn this through painful trial and error. Through presentations that fall flat because you talked about microservices when executives needed to hear about scalability risks. Through budget battles where “technical excellence” doesn’t resonate but “competitive advantage” does.
What We’re Actually Doing
When I think about my weekly calendar, translation shows up everywhere:
Monday: Translate sprint planning into product roadmap commitments
Tuesday: Translate infrastructure costs into unit economics impact
Wednesday: Translate team hiring needs into revenue capacity arguments
Thursday: Translate technical incident response into customer trust metrics
Friday: Translate engineering velocity into competitive positioning
Each translation requires context switching between two different languages, two different value systems, two different ways of measuring success.
And here’s the uncomfortable part: this takes significant time that could be spent on technical strategy.
The Questions I’m Wrestling With
Is this role evolution or role dilution?
Are we becoming better leaders by understanding business context, or are we becoming worse technical leaders by spending less time on technical depth?
Is this about trust?
If leadership truly trusted engineering judgment, would we need to constantly translate technical decisions into business terms? Or is this translation actually building that trust through transparency?
Is this the job now?
Maybe “Engineering Leader” in 2026 means something fundamentally different than it did a decade ago. Maybe the role is translation, and resisting it means resisting the reality of how engineering creates value.
Am I complaining about the wrong thing?
Perhaps the problem isn’t translation itself, but organizational structures that require constant justification instead of building lasting trust.
What I Want to Know
I’m genuinely curious how other engineering leaders approach this:
- Do you have frameworks for translating technical decisions into business impact?
- How much time do you spend on translation vs. technical strategy?
- Where do you draw the line between necessary translation and performative metrics theater?
- How do you train your engineering managers to be bilingual from the start?
- Is this burden shared with product, or does it fall primarily on engineering leadership?
And the bigger question: When did we become translators, and is that what we signed up for?
I’d love to hear your perspectives—whether you’re an engineering leader facing this daily, a product/business leader who needs these translations, or someone who’s figured out a better way to bridge these worlds.