Despite AI being core to their business, Andrew Sachs urges product leaders to be cautious. He highlights that pressure to use AI leads to misapplication and failure. True value comes from applying it strategically where it makes business sense, not from chasing buzzwords.
A product manager is ready for leadership not just by mastering their domain, but by demonstrating three key traits: understanding how all parts of the platform connect, being effective in customer-facing roles (sales, roadmap talks), and proactively building cross-team relationships.
The translation market had a clear, expensive problem. However, the opportunity for Smartling was unlocked by a concurrent technology shift: the rise of cloud computing. This allowed them to build a scalable, modern solution at a much lower cost than previously possible, creating a powerful market entry point.
For enterprise customers, a "good" translation goes far beyond literal accuracy. It must adhere to specific brand terminology, tone of voice, and even formatting rules like bolding and quotes. This complexity is why generic tools fail and specialized platforms are necessary for protecting brand integrity globally.
A key growth tactic is to start discussing a new topic before feeling like an expert. This "talk to learn" approach accelerates understanding. Being corrected isn't a failure but part of the rapid learning process, requiring courage and the ability to learn in public.
The biggest impact of AI isn't just generating translations. It's programmatically assessing the quality to decide if a human review is even necessary. This removes the most expensive and time-consuming part of the process, dramatically cutting costs while maintaining quality standards.