Posted 2 months ago
We are looking for a full remote Senior Data Scientist to work on real time bidding optimization and automation in order to build a sustainable alternative to Facebook and Google’s advertising solutions.
We are KMTX, a fast growing AdTech company building the Ad Platform of the Open Web. We are working to provide the main advertising platform of the Open Web making it simple for anyone to run campaigns online. We believe this is the only way of preserving and improving the state of the Internet by making it open and fair. We’re targeting a $200B market.
As of today, Open Web advertising is a mess with unnecessary complexity, opacity, low respect of user privacy and poor performances for advertisers as well as publishers. This is what allows Walled Gardens (Google, Facebook, …) to dominate the online advertising market as they provide simple & efficient advertising platforms. A simple & efficient ad platform is necessary to value the Open Web, promote free access to information and fight the duopoly.
Since 2017, we’ve worked on the hardest part of creating the ad platform of the Open Web. An automated set of tools and technologies to buy advertising in real time while delivering strong performances for advertisers.
We’ve proved that our approach works with over 200 brands on more than 1500 campaigns and managed to consistently beat every advertising platform on the market. This success helped KMTX grow very quickly to an 8 figures revenue.
We are now building and deploying a self-served platform that aims to be “the Facebook Ads of the Open Web”. It allows advertisers to launch campaigns in less than 5 minutes on any inventory (Web, Apps, TV, ...) and deliver strong results for their brand. Simple & Efficient. This platform will be available for advertisers in Europe and North America.
KMTX was founded in 2017 by two serial tech entrepreneurs: Franck Tetzlaff (co founder of Doctolib) and Arthur Querou (co founder of MotionLead acquired by Adikteev).
We’ve raised $3m to date and plan to raise a significant round in the coming months.
We’re obsessed with meaningful, powerful tech and simplification for our users.
We have no fear of challenging the status quo when we believe it’s the right thing to do.
We believe that small increments don't drive change. Anything we do must be 10x better than what existed before.
This also applies to hiring. People who want to build and achieve 10x challenges. Forward thinkers, who challenge the status quo, get out of their comfort zone, are not afraid to fail, have a high-level of self-awareness and expectation.
We believe that a job should not be “just a job”, but an opportunity to grow. To perform at their best, our people should be happy and challenged. We want our people to evolve, learn, and grow in a pleasurable work environment.
We care a lot about autonomy and trust which we lead by example as being very flexible on work hours or on the missions you want to work. We’ll also always be pleased by and encourage employees taking initiatives.
We are as transparent as possible on what’s going on in the company and everyone in the company is always accessible. No hierarchy blocks.
Finally, we provide a suite of benefits and perks that we believe are meaningful to make the life of our employees better.
At KMTX, you will imagine and implement tools improving campaigns performances, build privacy centric targeting alternatives and work on automated solutions simplifying advertising for our users.
Our projects include:
You’ll be given all the needed resources to produce the best work and fulfill your ambitions. You’ll have the opportunity to work on the largest and most diverse data sets you may have encountered.
You’ll work with a growing team of passionate and caring talents (1 Product Manager, 2 Data Engineers, 2 Data Scientists and 2 Software Engineers) on a mission to make online advertising a better and sustainable industry.
Our current stack includes AWS (S3, Athena), Python, Scala, Spark and Go. We’re also always on the lookout for groundbreaking technologies and open to experiment.
1. First Interview
2. Technical Interview
3. Cultural fit Interview
4. Meet the team