< Speaker / Facilitator >
Diana Pulnar
Babbel, OUTFITTERY, Ratepay, eBay

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Diana Pulnar is SVP Product & People and Managing Director of Babbel Labs. Her mission is to build Babbel's new AI-native language-learning product that holds to the same linguistic integrity Babbel has been known for from the start. The question driving the work: which of the learner problems that resisted every previous attempt can finally be solved?
Diana has spent 25 years building and scaling digital products. Before Babbel, she was Chief Product & Technology Officer at Outfittery and Chief Product Officer at Ratepay, and held senior product and operations roles at eBay. Diana is a systemic coach and, outside work, practices traditional Taekwondo and reads Stoic philosophy.
COHOST with

Susanne Dubuisson
Product Director
Doctolib
Everyone Personalizes the Answer. Nobody Personalizes the Learning.
17.09
CIC Berlin
< About >
AI has made language knowledge infinite, in two ways. Using LLMs, you can get by in any language without learning it: translation is instant. And if you do want to learn, it seems easier than ever: GPT and Claude will explain any rule, any word, in seconds.
But knowing about a language isn't the same as learning to speak it. In this fireside chat, Diana Pulnar shares what 20 years and millions of learners have taught Babbel about that gap and how Babbel is thinking about it in the AI era. The question driving the work: which of the learner problems that resisted every previous attempt can finally be solved?
< Key learnings >
Taste and judgment: why they're the things AI still can't automate, no matter how good the model gets
The apprenticeship question: where the next generation's judgment comes from once AI absorbs the reps juniors used to learn on
The headcount paradox: why AI-native teams are often growing, not shrinking
Regulated vs fast-moving: how much judgment you're willing to hand to a model when the downside is a compliance breach versus a bad ship
< Tickets >