We’re 30+ engineers working to build an outstanding engineering culture so that everyone who joins has the opportunity and the support to do the best work of their life. Small, autonomous teams are important to us, and we want to empower everyone to make decisions confidently and take ownership of their impact.
We operate at a massive scale: our platform handles more requests each day than there are new tweets and Google searches, and each month we serve more than 2 billion user devices. We combine our patented edge-computing capabilities and low-latency cloud services to deliver real-time customer experiences.
We think applying functional programming techniques like compositionality and type-safety is the best way to build the type of massively distributed system our platform comprises, allowing us to move fast without sacrificing quality.
We’re looking for a Staff Applied Scientist to own optimisation across our platform. You’ll be the domain authority on how we use data to make campaigns perform better — from how audiences are composed and scored, to how inventory is priced and allocated, to how campaigns are tuned over their lifetime.
The scope is broad: campaign optimisation, audience quality modelling, lookalike improvement, and measurement all fall within your remit. You’ll work across teams, identifying which problems to solve, designing the approaches, and owning the models through to production.
This is a hands-on technical leadership role with broad scope and real autonomy. You’ll operate across the full platform, with the freedom to identify the highest-leverage problems and design the approaches to solve them. You’ll shape what we build and have a seat at the table when we make product and strategy decisions.