Spotify - Director of Engineering, Experience
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Requirements
• You have experience leading engineering organizations through other leaders and scaling teams effectively • You have worked on complex, data-intensive systems where accuracy, consistency, and reliability at scale are critical • You are confident in system design and architectural decision-making in distributed systems • You are comfortable navigating ambiguity and making trade-offs in high-pressure, high-impact environments • You have experience evolving legacy systems and guiding long-term platform transformations • You influence effectively across engineering, product, and business stakeholders • You have experience leading distributed teams and creating alignment across locations • You communicate clearly and can explain complex technical topics to a range of audiences • You are curious about how AI and automation can improve systems and workflows, and apply that thinking pragmatically • You care about building inclusive, collaborative environments where teams can grow and do their best work • Where You'll Be • This role is based in Stockholm or London • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Lead and develop multiple engineering teams through engineering managers, supporting their growth and impact • Own and drive the technical strategy for a critical platform domain, aligning with broader company and platform goals • Enable teams across Spotify to build product experiences efficiently by improving the underlying catalog systems • Guide the evolution and modernization of complex, legacy systems into scalable, reliable architecture • Partner closely with product and cross-functional leaders to align priorities and drive execution • Improve system reliability and reduce operational friction in workflows that directly impact content availability • Identify and apply opportunities for automation and AI to improve data quality and engineering productivity • Build a strong, inclusive engineering culture where teams continuously improve how they work and deliver • Develop and execute a long-term roadmap balancing immediate priorities with strategic investments
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