Frameworks for going global without breaking your product, your team, or your process.

You translated the product into a few languages for your biggest markets.

Now it's help docs, support tickets, marketing campaigns, dev docs, and PIPs, each with different quality bars, different stakeholders, and different turnaround times.

The spreadsheet that worked for two languages can't carry you to twenty.

Join us and LILT on June 18 for a panel of product leaders who've made the jump from the scrappy first four languages through the operational reality of true global coverage.

We'll dig into how they decide which language to add next, what a multilingual translation architecture actually looks like when content lives in five different systems, and how they set tiered quality thresholds without drowning the team in process.

Walk away with frameworks to turn international expansion from an operational headache into a measurable growth lever.

Here's what we're fixing:

  • "Our product is ready for new markets, but we don't know how to prioritize where to expand next." Get practical frameworks for evaluating which languages and markets to add based on revenue potential, user demand signals, and operational readiness, so you stop guessing and start making data-driven expansion decisions.
  • "Localization landed on our product team's plate, and nobody has the bandwidth or expertise to own it." Learn how product leaders at companies like yours are managing global expansion without a dedicated localization team, including how to structure ownership, set realistic timelines, and avoid burning out the PM who inherited it as a side project.
  • "We're managing translations across five different systems and it's becoming an operational nightmare." Hear how companies scaling from a handful of languages to 20+ markets built a localization architecture that connects their CMS, support platform, code repo, and marketing tools, without spinning up a full-time ops role just to keep things moving.
  • "Leadership keeps asking why we can't just use ChatGPT for translation." Get a clear-eyed view of where AI-powered translation works, where it falls short, and how to set quality thresholds across product, support, and marketing content so you can make the AI call with confidence rather than pressure.
  • "We can't get executive buy-in because localization is still seen as a cost center." Walk away with the language and metrics to reframe international expansion as a product growth lever including how other product leaders tied localization investment directly to adoption, retention, and revenue in new markets.

What you'll walk away with:

✓ A new mental model: localization as growth strategy, not translation project. See how the companies that scale globally treat language expansion the same way they treat feature launches tied to revenue targets, adoption metrics, and market entry goals and the language to make that case to your leadership.

✓ An ownership framework for teams without a Head of Localization. Most SaaS and tech companies don't have one. A practical model for structuring ownership, prioritizing languages, and avoiding the organizational chaos that hits when nobody formally owns it.

✓ A tiered quality framework across content types. Product strings, help docs, marketing campaigns, and support articles each deserve different quality bars and turnaround times. Learn how to set those thresholds strategically instead of applying a one-size-fits-all process that burns the team out.

✓ A clear-eyed take on where AI fits (and where it doesn't). Not a "use ChatGPT" answer and not an "AI is wrong" answer. A system view: where AI-only is fine, where you need human verification, and how to keep consistency across 20+ languages when content lives in five different platforms.

✓ The minimum viable localization stack before you need it at scale. If you're at "four languages on a spreadsheet," this is your blueprint. The companies that wait until they're drowning in 15 languages and 4 content types end up with manual workflows, brand inconsistency, and content debt that takes years to unwind.