Top Tech Jobs & Startup Jobs in London

Own the strategy and roadmap for converting free users into Spotify Premium subscribers. Lead consumer-facing feature development, experimentation, funnel optimization, and global rollouts across markets. Use behavioral, cohort, and market data to define hypotheses, metrics, and priorities. Partner with design, engineering, marketing, research, data science, and regional teams to improve awareness, acquisition, activation, and conversion while balancing user value, revenue, and operational complexity.

Own the strategy and roadmap for Spotify’s data catalogue, metadata, and data lineage products. Identify user and business needs, prioritize platform investments, evaluate build-versus-buy solutions, define success metrics, and collaborate with engineering, design, data science, and product teams. The role focuses on improving data discoverability, governance, trust, and usability for data professionals and AI-driven workflows.

Leads a team of data and backend engineers building scalable data products, pipelines, and services for Spotify’s subscription experiences. Partners with product, business, and engineering teams to prioritize work, guide architecture, improve reliability, manage dependencies, and support targeting, personalization, messaging, and machine learning. Coaches engineers, supports career growth, promotes inclusive collaboration, and explores AI and automation to improve workflows and data quality.

Define and own the quality bar for Spotify's AI voice models by designing evaluation rubrics, running qualitative and MOS-style campaigns, benchmarking against competitors, and turning findings into actionable recommendations for product, production, and ML teams.

Lead the vision, strategy, and roadmap for Spotify’s session management capabilities across apps, devices, and partner integrations. Improve sign-in persistence, device connections, session transfers, authorization, consent, privacy, and account protection. Partner with engineering, design, research, security, client, device, and partnership teams to prioritize improvements, develop reusable APIs and components, measure outcomes, and balance user experience with technical investment.

Lead product vision and strategy for Spotify’s books, podcasts, and music formats. Define end-to-end consumer experiences spanning discovery, engagement, library management, and retention. Partner with business, engineering, design, data, and personalization teams to drive scalable cross-format innovation, experimentation, and growth. Align senior stakeholders, lead multiple initiatives, mentor product managers, and elevate product craft.

Manage client partnerships and consultative sales for Spotify’s advertising business in the German/DACH market. Responsibilities include developing sales pipelines, crafting proposals, achieving revenue targets, analyzing campaign performance, identifying cross-selling opportunities, and collaborating with Product, Marketing, and Data teams. The role is London-based with hybrid work and periodic travel to Germany.

Lead and coach a team of 10+ senior and Staff machine learning engineers focused on audio, video, and text content understanding. Set technical strategy, guide modeling and retrieval decisions, deliver high-priority cross-functional initiatives, and contribute hands-on as needed. Shape long-term audio understanding expertise, promote practical AI use in engineering workflows, and partner with product, design, research, and engineering leaders.

Build and operate Spotify’s lakehouse and BigQuery platforms at scale. Develop backend services supporting Apache Iceberg, migrate pipelines, manage BigQuery capacity, create monitoring and tooling, and troubleshoot production issues across storage, Kubernetes, IAM, and processing systems. Participate in support and on-call rotations while improving reliability, cost efficiency, and user enablement across global teams.

Build and operate backend services, APIs, data catalogs, lineage systems, and publishing platforms for Spotify’s data ecosystem. Develop batch and streaming pipelines, manage metadata and schemas, ensure data quality and reliability, and own projects from technical design through production rollout. Participate in on-call support, observability, automation, and cross-team collaboration.