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What You'll Do

Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities

Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines

Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area

Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability

Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems

Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases

Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments

Mentor engineers and contribute to raising the engineering bar across the organization

Who You Are

You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments

You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively

You have strong programming experience in Java, Python, and/or Scala

You understand the challenges of building systems that process high-volume multimedia or real-time workloads

You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.

You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up

You communicate effectively across engineering, product, and leadership stakeholders

You have experience leading complex technical initiatives that span multiple teams or organizational areas

You care deeply about collaboration, mentorship, and creating alignment across teams

Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus

Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued

Where You'll Be

This role is based in London or Stockholm

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.