Über uns
Grammarly is the world’s leading AI writing assistance company, trusted by over 30 million people and 70,000 professional teams. From instantly creating a first draft to perfecting every message in English, Grammarly helps people get their point across—and get results—without compromising security or privacy. Grammarly’s product offerings work where you do, delivering contextually relevant writing support across over 500,000 apps and websites.
Grammarly’s team members drive innovation across engineering, data science, linguistics, design, and more while continuing to advance our natural language processing and machine learning technology.
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Grammarly Tech Talks is a meetup series bringing together a group of experts and adventurers who have a passion for technology, pushing boundaries, and creating things that have never existed before.
Are you eager to explore emerging practices, new approaches, technical challenges, and engineering solutions? Learn, grow, and stay on top of tech news and trends by joining our free virtual and in-person meetups! Grammarly experts are excited to share their experience, knowledge, and best practices. Join our community to meet like-minded people and discover cutting-edge insights and innovative ideas.
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Want to shape the way millions of people communicate every day? Check out:
Grammarly’s Hub in Berlin: https://www.grammarly.com/jobs/germany
Grammarly Technology: https://www.grammarly.com/jobs/technology
Grammarly Tech Blog: https://www.grammarly.com/blog/engineering/
Grammarly Open Roles: https://gram.ly/3KGUjD3
Grammarly Engineering Digest: https://gram.ly/3cICjMc
Kommende Veranstaltungen
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Being an AI PM: You’ve Got a Hammer, Now How Do You Find the Nails?
Karl-Liebknecht-Str. 29A, Berlin, DEThank you for your interest in our meetup!
We’ve reached the venue’s capacity, so registration is now closed. We truly appreciate your support. If you couldn’t secure a spot this time, don’t worry — we’re already looking forward to welcoming you at our future events!
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Join Ailian Gan, Director of Product at Grammarly, on October 14 for a practical, provocative session full of stories, ideas, and insights to power your AI product journey.✅ Registration: closed
🚀 Everyone wants to use AI, but not every problem is an AI problem. The real challenge for product managers isn’t just knowing what’s possible with AI—it’s spotting the problems where it can actually make a difference. This session takes a critical look at how product managers can identify problems worth solving with AI, integrate AI into more holistic solutions, and avoid the trap of building shiny features no one needs. Expect practical stories and provocative ideas to inspire your own AI product journey.
🔈 Ailian Gan is Director of Product at Grammarly, where she leads teams building AI-powered agents—from Grammarly’s classic proofreader to new categories of productivity agents that help people communicate and work more effectively. Before joining Grammarly, Ailian was Product Lead for Meetings and AI at Zoom, where she spearheaded the launch of Zoom’s AI Companion product suite. Earlier in her career, Ailian was the first Product Manager at Front, an email productivity startup. She was also an early employee at an ML startup focused on search and personalization. Originally from Singapore, Ailian spent more than a decade in Silicon Valley before recently relocating to Berlin with her family.
💥 Who will be interested:
- AI product managers
- Product managers who aspire to work in AI
- Builders of AI products (designers, engineers, data scientists, etc.)
Agenda:
✨ 18:30–19:00: Welcome and networking
✨ 19:00–20:00: Grammarly talk
✨ 20:00–21:00: Mingle with the Grammarly team✅ Where: In-person, Grammarly Berlin hub
✅ When: Tuesday, October 14
✅ Language: EnglishThe event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of interested guests on a first registered, first invited basis. Please check your inbox for a confirmation email about your attendance.
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Vergangene Veranstaltungen
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