
Director of Product - AI / ML Platform @ Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Platform Lead and Director of Product Management at Spotify. I lead a cross-functional org focused on increasing the productivity of AI/ML practitioners. Over my 13-year tenure at Spotify, I have: * Jumpstarted our investments in Generative AI infrastructure and tooling. * Led Spotify's massive data processing migration to Google Cloud Platform. * Scaled our data infrastructure from the engineering trenches (Hadoop) to product leadership. Passionate about building great data teams, driving strategy, and publicly sharing our learnings.
New York University
Master of Science (MS), Computer Science / Information Systems
January 1, 2010 – January 1, 2013
University of Pittsburgh
Bachelor of Science (BS), Computer Science and Philosophy
January 1, 2002 – January 1, 2007
Spotify
Director of Product Management
September 1, 2022 – Present
Spotify
Group Product Manager - Machine Learning Platform
April 1, 2017 – September 1, 2022
Spotify
Senior Product Manager - Data Migration to Google Cloud
September 1, 2016 – April 1, 2018
Spotify
Product Owner - Real Time Data
September 1, 2015 – February 1, 2017
Spotify
Technical Product Owner - Hadoop
March 1, 2014 – September 1, 2015
Spotify
Data Engineer - Hadoop
May 1, 2013 – March 1, 2014
AT&T
Data Engineer and Technical Lead
May 1, 2007 – April 1, 2013
New York, New York
University of Pittsburgh
Computer Science Undergraduate Teaching Assistant
August 1, 2006 – May 1, 2007
Greater Pittsburgh Region
USAF
Staff Sergeant
August 1, 2001 – August 1, 2007
Cultural Fit Analysis
The candidate has a long tenure at Spotify, a well-known tech company, indicating adaptability and growth within a dynamic environment. Their experience spans various roles from hands-on engineering to strategic product leadership, suggesting a versatile individual. However, the target role is 'Big Data Engineer', and the candidate's recent experience is heavily skewed towards product management. While they have a strong background in big data infrastructure, their current trajectory is not directly aligned with a pure engineering role, which might impact cultural fit for a hands-on engineering team.
Soft Skills & Operational Fit
The candidate's career progression from Data Engineer to Director of Product Management at Spotify demonstrates strong leadership, strategic thinking, and the ability to manage complex technical initiatives. Their experience in building and scaling data platforms suggests excellent problem-solving and operational management skills. The descriptions indicate a focus on reducing latency, increasing availability, and improving development feedback loops, which are critical for operational excellence.