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Engineering Manager at Spotify
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Assessing your cultural and operational fit
I like being around music. I also like preventing bad actors from ruining things for everybody. As an engineering manager within the Spotify User Fraud team, I get to do both.
FER
Master's Degree, Computer Science
January 1, 2006 – January 1, 2011
Spotify
Engineering Manager
March 1, 2026 – Present
Berlin, Germany
Spotify
Senior Software Engineer
January 1, 2022 – March 1, 2026
Berlin, Germany
MOIA
Software Engineer
January 1, 2020 – November 1, 2021
Berlin Metropolitan Area
Spotcap Global
Software Engineer
February 1, 2017 – December 1, 2019
Berlin, Germany
Byte-Code S.p.A
Software Engineer
September 1, 2015 – January 1, 2017
Milan, Italy
HashCode
Solution Architect
June 1, 2014 – August 1, 2015
Zagreb, Croatia
Ericsson
Solution Architect
March 1, 2014 – July 1, 2014
Ericsson
Software Engineer
September 1, 2011 – March 1, 2014
Ericsson
Software Engineer
February 1, 2011 – September 1, 2011
Ericsson
Summer Camp Participant
June 1, 2010 – September 1, 2010
Zagreb, Croatia
Object detection using inferred HOG (Histogram of Oriented Gradients) features
January 1, 2011 – Present
Aim of the project was to design and develop a system for object detection. Machine learning algorithms were used to "teach" the classifier which type of objects needs to be detected. System was applied on triangular and rectangular traffic sign detection in images taken from a moving vehicle with a camera.
Applicability of Multicore Programming Libraries in Parsing
January 1, 2010 – Present
Implementation and evaluation of parallel computing algorithms developed on various platforms: Cilk (C++), OpenMP (C++), JSR-166 (Java), Intel TBB (C++), Parallel Extensions (.NET), Erlang
Face recognition using Fisher's Linear Discriminant + Principal Component Analysis
January 1, 2010 – Present
Given a database of 64x64 pixel images containing (full frontal) human faces, a machine algorithm was developed such that, given an input face, n most similar faces from the database may be retrieved.
Object boundary detection using connected edge elements in the image
January 1, 2009 – Present
Project consisted of design and development of an algorithm for object detection in a given set of images using edge elements (pixels on object boundaries). Implementation was done using C++ programming language.
Custom implementation of Canny edge detection algorithm
January 1, 2008 – Present
Participated in a student project whose goal was implementation of an image processing algorithm, more specifically edge detection. Project consisted of nine contributors. Development was done in C++ programming language.
CompTIA Security+ ce Certification
CompTIA
June 28, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic machine learning projects to enterprise-level backend development and management, indicates adaptability and a broad interest in technology. The progression through various roles and companies (Ericsson, HashCode, Byte-Code, Spotcap, MOIA, Spotify) suggests a willingness to take on new challenges and grow within different organizational cultures. The focus on fraud mitigation and secure systems aligns with roles requiring high integrity and attention to detail. However, the personal projects are heavily focused on image processing and machine learning, which might not directly align with a pure backend engineering role unless the target role involves ML infrastructure.
Soft Skills & Operational Fit
The candidate's career progression from Software Engineer to Senior Software Engineer and then Engineering Manager at Spotify suggests strong leadership, project management, and team collaboration skills. Experience as a Solution Architect indicates an ability to analyze business processes and design effective software solutions. The description of managing a user fraud mitigation team implies strong problem-solving and strategic thinking.