Threads Styling
About us
Who are we?
Threads is pioneering the best luxury shopping experience in the world. We inspire our highly-engaged social media community through beautiful content featuring the latest, most desirable luxury items. We talk to our loyal clients directly via chat-based media to place orders; these can then be sent anywhere in the world – fast. In short, we’ve closed the online-offline shopping loop and we’re changing how people buy luxury fashion.
At the forefront of a revolution in chat commerce, Threads is scaling fast, with technology very much at the heart of our next phrase of growth. By harnessing social networks and providing a unique personal shopping experience, we're building a data led platform and we're looking for experienced technologists to deliver our future roadmap.
Tech City UK named us a Future Fifty business, one of the UK’s fastest growing and most disruptive digital tech companies in 2017, and we are at No. 32 in The Sunday Times Tech Track 100 list of the fastest growing tech companies in Britain.
- Fashion
- Private
- People: 50-249
- Founded: 2009
- London, United Kingdom
Technology
DevOps
(6)Infrastructure
(3)Tools
(4)Testing
Manual
Fully automated
Ops
DevOps
Dedicated Ops team
Time to deploy
More than 5 hours
Less than 1 hour
Benefits
Culture
(6)Health & Wellness
(3)Financial benefits
(4)Vacation
(2)Extras
(4)Professional development
(3)Diversity
(1)Hire with us!
Create a free profile page for your company.
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- Fashion
- Private
- People: 50-249
- Founded: 2009
- London, United Kingdom
Hire with us!
Create a free profile page for your company.
Use this space to connect with our community. Companies with profiles typically get 20% more applications!
How we work
The ideal candidate will have exceptional technical knowledge, a creative approach to problem solving, and an interest in building a retail industry-first analytics platform. We want to be able to automate our processes at every stage – from order to delivery – while also collecting data, including multimedia content, from various social platforms. We then want to analyse our content, data and user behaviours with natural language processors and machine learning systems.
