Engineering manager, Fraud prevention

Delighting users while fairly compensating artists and creators is at the core of Spotify’s mission. To accomplish this we are constantly striving to more efficiently monetize our products. Spotify seeks engineers to focus on growing one of the world’s largest and fastest growing digital subscription businesses while mitigating risk and making sure that we are at the forefront of minimizing fraudulent behavior on our payments platform.

We have ambitious plans in the Premium team, and that comes with the knowledge that we With a need to understand the payments space which allows us to monetize our vision and minimize fraud. Do you have experience with ingesting, analyzing and processing massive amounts of data for use in real-time systems? Do you have a passion for understanding the complex nature of taking payment at scale from a merchant perspective? If so then we want you to join the band!

What you’ll do

  • Leading and developing a high performance team in a specialized domain of 5-8 cross discipline engineers.

  • Help grow Spotify Premium by creating the platform and tools needed to prevent fraud and mitigate risk and fraud from a merchant perspective, in a complex global payments landscape.

  • Collaboratively define and drive technical strategy and roadmap. Evangelizing to the product teams, operators, and broader organisation.

  • Work closely with operations and compliance teams to make sure that you collaboratively provide for the company’s short- and long-term goals.

  • Lead development of systems to gather signals from payment and identity data providers, to distinguish fraudulent activity from legitimate

  • Work closely with senior leadership to align our efforts in risk with the over all payments strategy.  

Who you are

  • Minimum of 5 years experience leading engineering efforts in large-scale data driven production systems

  • Minimum 2 years of experience in fraud-detection and prevention systems, methodologies from a merchant perspective.

  • Experience in implementing data driven applications at scale

  • Excellent communication skills, written and verbal

  • Excellent coaching skills

  • Data analytics frameworks such as: Kafka, Storm, Spark, Akka

  • Knowledge of Hadoop and Mapreduce

  • Knowledge of Scala, Java, Go or Python

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come to be a part of changing the way the world listens to music.

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