About Lalaland



Danzigerkade 11C, 2nd Floor - Lalaland, Amsterdam, North Holland 1013AP, NL

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Are you ready to disrupt an industry and be a pioneering link between FASHION and Generative AI? Join our mission and solve a REAL world problem of inclusion and diversity within online shopping.


Working at Lalaland is all about giving you opportunities to showcase your skills and develop new ones. With an encouraging and innovative environment, get ready to make an impact every day. At Lalaland you own your personal and professional growth. Continue growing and building up your career with multiple ways and tools to pick up and practice new knowledge and abilities.

We believe in transparency and accountability, so as long as the work gets done, we don’t mind the where and how. We work informally, as a little family and have a balance between work and play. We want to encourage our team and allow each person to build confidence in themselves and gain experience, and enjoy what they do, fulfilling their personal potential along the way.

Lalaland uses neural networks (Artificial Intelligence) to create diverse, inclusive, and gender-fluid non-existing metahumans for digital fashion brands to showcase collections to buyers, sellers, merchandisers, and consumers on models which actually look like their customers.

Lalaland’s platform effortlessly generates models of different ethnicities, ages, and sizes with over 5 pose variations, offering a high level of flexibility, allowing brands to customize models according to their consumers' hairstyles and body shapes.

Next, a highly automated workflow combines on-mannequin product shots or 3D digital garments with AI-generated model imagery. The result is realistic, ready-to-publish model shots at scale, created in a fraction of the time required by traditional model photograph in the following “self-service” steps:

Configure Models:
Select skin complexion, body size, body shape, identity, hairstyle, and poses from hundreds of options.

Upload Garments:
Upload SKUs of product images, input either from digitally designed garments or a ghost mannequin product packshot.

Dress Models:
Based on selected models, model poses, and the garment (SKUs) uploaded, customers match different SKUs to make different looks/styles on-model images.

Receive Images:
The end-to-end retail automation process is complete! And it can be added to their webshop right away.

Usecases: Visual Merchandising, PDP, PLP, Remarketing campaigns, digital desgin, and the Metaverse.

This is what you can expect when interviewing with us.


  • A bit more about the technical assessment:
  • During the process, you are likely to meet the following members of our team:
  • What will they be looking for?
  • How to make a good first impression:
  • How long does our interview process usually take, from the first call to offer stage?

If you need any additional information on our interview process, please reach out to us directly.
Alternatively, please take a look at our careers page to get to know us better

Flexible Working
Reward Schemes
Learning Budgets
Company Events
Free Transportation & Parking
Thursday Drinks
Tech Stack

Application and Data

Amazon Web Services


Azure DevOps


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Business Tools

Google Apps