We are looking for a passionate manager to join our fraud product area. Our mission is to accelerate Spotify’s growth with a trusted platform that provides insights and data to our partners. The work we do to detect, prevent, and mitigate unwanted behaviour on our platform is a key component of our ambitious goals. This position will report to the Product Area Engineering Director and is based in Stockholm, with the opportunity to travel to other R&D offices. 

You will be leading a diverse team of engineers and data scientists that use machine learning, research, state of the art data engineering, and a deep theoretical understanding to solve some of the most advanced and important data-driven problems we face. For example:

  • Evolve and scale out our fraud platform
  • Develop and/or enhance event-based detection methods that continuously adapt to ever-shifting user behaviours
  • Consistently consume and produce massive amounts of data while optimising for speed, accuracy, and quality
  • Innovate our data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders from Spotify feature teams to our finance organisation

As an engineering manager you will join the product area’s leadership team and have a direct impact on the overall positioning and mission of the product area. You will represent an important component of the organization and engage with technical partners and stakeholders across Spotify, enable our team success, and drive thought leadership in our community.

What you will do:

  • Lead and develop a high performance and domain specialized team of 5-8 cross-discipline engineers and data scientists
  • Partner with product management to formulate the technical vision, strategy, and roadmap for the platforms that power our fraud detection and mitigation capabilities
  • Make sure that we can deliver what we promise with high quality
  • Work closely with partners and senior leadership to make sure that we align our efforts for the company’s short- and long-term goals
  • Be an active voice in our engineering and data science community across Spotify
  • Be an active partner to your product and engineering peers as part of an effective leadership team for the product area

Who You Are:

  • You have 2+ years of people management skills and know how to lead and grow a multidisciplinary team of engineers and data scientists
  • You care about data-driven development, reliability, and responsible experimentation and have led large scale engineering efforts
  • You have a passion for mentoring and coaching highly collaborative teams
  • You have a data science or engineering background and know how to express your ideas in code
  • You have excellent communication skills, written and verbal
  • You know where the consumer tech industry and trends are heading and understand the trade-offs of existing solutions
  • Desired experience:
    • An MS in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field
    • 5+ years of experience in machine learning, data engineering, or data science
    • Minimum 2 years of experience in a fraud or security discipline

        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 be a part of changing the way the world listens to music.

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