OpenAI has surpassed $10 billion in annual recurring revenue, according to a company spokesperson. This milestone comes less than three years after the launch of ChatGPT. The reported figure includes revenue from consumer-facing products, ChatGPT business offerings, and the application programming interface. It excludes licensing income from Microsoft and large one-time agreements.
The more responsibility you take on, the less your job is about your own output. For engineers who step into management, this can feel unnatural. You're used to solving problems directly, writing code, and moving fast. You may even know the exact way to solve something, and it can feel frustrating to slow down long enough to explain it to someone else. But that's the shift.
One of the biggest traps for any team is confusing progress with movement. It's easy to stay busy, harder to stay focused. As managers, part of our role is to help our teams create value fast enough to learn, but not so fast that we lose direction. This is where the concept of the MVP, or Minimum Viable Product, becomes a practical tool for alignment and learning.
As engineering managers, one of the most powerful tools we have for guiding teams is the OKR framework. OKRs help translate big ambitions into clear, measurable work. They connect high-level objectives with concrete key results so teams know both what they are aiming for and how progress will be measured. They provide clarity, alignment, and a sense of purpose.
Every engineering manager starts with the same instinct: to solve problems. It is what made you good as an engineer, and what first earned you trust as a leader. But as your scope grows, the definition of what it means to solve problems must change. Your role is no longer to fix issues directly, but to ensure the team can fix them without you.
