The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for listeners. You will join the Saturn squad within Sessions, part of Spotify's Personalization Mission, and lead a team of machine learning, backend, and data engineers. Responsibilities Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture. Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities. Guide the design, development, deployment, and operation of production machine learning systems at scale. Support engineers through technical mentorship, career development, performance management, and regular feedback. Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery. Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence. Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization. Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value. Requirements Experience leading and developing high-performing engineering teams. Built trust through coaching, mentoring, and supporting engineers in their career growth. Deep expertise building and operating production machine learning systems at scale. Understanding of the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring. Experience working with modern machine learning techniques, including large language models and generative AI applications. Effective communication across engineering, product, and data science partners. Care about building inclusive teams where collaboration, curiosity, and continuous learning thrive. Balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes. Location and Benefits Flexible work location within the Eastern Standard time zone. Salary range: $184,049 - $262,928 plus equity. Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.