spotify - Director of Engineering - Content Platform (Catalog)

London / Stockholm3w ago

Remote Director EMEA Artificial Intelligence Director of Customer Success Content Strategist Technical Writer Data Quality

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 bring strong system design and architectural decision-making experience in distributed systems. • You are comfortable navigating ambiguity and making thoughtful trade-offs in 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.

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 it 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 an inclusive engineering culture where teams continuously improve how they work and deliver. • Develop and execute a long-term roadmap that balances immediate priorities with strategic investments.