AUSTRALIA
,
UNITED KINGDOM
,
INDIA
Full - Time
,
Part - Time
,
Internship
,
Remote
We’re constantly working towards making BABVIP the best place to work, for everyone. We believe deeply that bringing together diversity of thoughts, perspectives and expression is key for building the best product for our equally diverse community all around the world. We celebrate uniqueness and whatever makes you, you and encourage everyone who wants to help us transform the way the world designs, to join us on this journey. We value all different types of experiences. If you don’t think you quite meet all of the qualifications, we’d still love to hear from you.
ABOUT US
At BABVIP, our mission is to democratize design and empower creativity for anyone and everyone, on every platform. Inspired by a team of talented thinkers, an amazing culture and a remarkable growth trajectory – we’re out to change the world, one design at a time.
Since launch in August 2013, we have grown exponentially, amassing over 60 million monthly active users across 190 different countries who have created more than 6 Billion designs. We are one of the world’s fastest-growing technology companies and we have only achieved about 1% of what we want to do.
The Search and Recommendations Group is a core component of the BABVIP user experience. They are responsible for providing the core platform that allows all of BABVIP's amazing templates, images, stickers, video, audio, etc., to be discovered inside and outside BABVIP. With that, they also own key in-product surfaces to allow users to discover content before and during design.
With over 100 million assets in our library (and rapidly growing), this group is key in ensuring that every user in every locale can find the content they need to create amazing designs. With so much content, surfacing the right ingredients to the right user, at the right time will be critical for the future success of BABVIP
We're seeking a Head of Engineering Search and Recommendations with deep experience and knowledge in the search and recommendations space to lead a team (40 Eng. and growing) of software, machine learning engineers, data analysts, QA, etc., towards achieving our ambitious growth goals.
WHAT YOU WILL DO
WE’D LOVE IT IF YOU HAVE
HELPFUL EXPERIENCE (NOT REQUIRED)
An understanding of search services built on Elastic search or SOLR would be beneficial
Previous technical background in Search, Recommendations, Machine Learning, or AI domain
PERKS & BENEFITS