ModalAnnouncement
Modal is expanding in Europe with our new London office
Summary
Modal is expanding in Europe with a new London office, its second in the region, representing a larger investment in the area. The company already has nearly 20 engineers in Stockholm who built core parts of Modal, including its custom file system and Sandboxes product. Hugh Killingbeck-Jones joins as VP EMEA to lead go-to-market teams in London, which the company considers the AI capital of Europe. European AI-native companies like Black Forest Labs and Legora, as well as global platforms like DoorDash, run on Modal for tasks such as model evaluation and agent testing. The company is hiring across sales, engineering, and other roles in London and Stockholm, and plans meetups across EMEA.
Takeaways
Modal is opening a London office as its second European location, with previous engineering presence in Stockholm where nearly 20 engineers built core parts of the product.
European AI-native companies like Black Forest Labs and Legora use Modal for large-scale model evaluation and testing tasks requiring isolated environments.
The company is hiring across go-to-market and engineering roles in both London and Stockholm, with plans for meetups in London, Paris, Berlin, and Tel Aviv.
FAQ
Why is Modal expanding to London?
Modal considers London the AI capital of Europe and wants to invest in the region's talent and startups. The office will initially focus on go-to-market teams, with plans to include engineering and other functions over time.
What European companies already use Modal?
Black Forest Labs uses Modal for benchmarking multimodal models across GPU generations. Legora builds and tests agents for legal work using Modal sandboxes for isolated evaluation environments.
What roles is Modal hiring for in Europe?
In London, Modal is hiring across sales, solutions engineering, partnerships, and marketing. In Stockholm, it is hiring forward-deployed and system engineers.
Source and freshness
- Source
- modal.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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