Adding languages is the easy part. Keeping quality stable while your company grows fast, your release cadence accelerates, and AI changes the product surface every week is where globalization teams earn their keep.

In this episode, we sit down with Cristina Núñez, Senior Manager of Globalization at ŌURA, to unpack how a small localization team supports global product launches across 21 languages without simply hiring its way out of the problem. We talk about the shift from “startup knowledge in people’s heads” to a scalable localization operating model built on documentation, clear workflows, stronger handoffs, predictable planning, and systems that can carry the load.

Waiting on engineering bandwidth can quietly stall a localization program for months, even when the idea is solid. In this episode, we sit down with Casey Garland, Senior Localization Program Manager at Toast, to talk about a shift many teams are feeling right now: AI tools are giving non-technical localization leaders new leverage to analyze workflows, build prototypes, and show impact without begging for a spot on someone else’s roadmap.

Perfect grammar does not guarantee market impact. Teams may roll out AI-generated product content across 10 to 20 markets, pass every linguistic quality check, and still get blindsided by what performs and what flops. In this episode we sit down with Agustin Da Fieno Delucchi, co-founder of Trilogica Global, who treats context like living infrastructure, persistent operational data that your localization and content operations can retrieve, learn from, and improve over time.