Staff Engineer - Content Intelligence Infrastructure

Spotify
London, GB

Who this role is best for

Aimed at senior engineers who build foundational infrastructure at the intersection of backend systems and ML, with a focus on content understanding.

Best fit for

  • Senior engineers experienced in scaling ML infrastructure for content platforms.
    — “build and scale foundational infrastructure powering content understanding
  • Technical leaders who shape infrastructure strategy across product areas.
    — “help shape infrastructure strategy across the product area
  • Collaborators comfortable partnering with cross-functional teams on long-term technical investments.
    — “partnering with senior engineers, product leaders, and cross-functional teams

Things to consider

  • Role involves working across backend systems, ML infrastructure, and distributed data systems.
    — “intersection of backend systems, ML infrastructure, distributed data systems
  • Expect to contribute to AI-enabled platform capabilities.
    — “AI-enabled platform capabilities

How to stand out

  • Highlight experience in building systems that create machine-readable content understanding.
    — “systems that create deep, machine-readable understanding of content
  • Demonstrate past work on automation or safety features for content platforms.
    — “enables automation, safety, and entirely new product experiences
  • Showcase leadership in executing long-term technical investments.
    — “execute on long-term technical investments
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and implement scalable backend systems
  • partner with cross-functional teams to execute on technical investments
Typical background
experience in backend developmentknowledge of distributed systems

Skills & requirements

Required

Backend DevelopmentDistributed SystemsScalabilityHigh AvailabilityML InfrastructureAi-enabled Platforms

Preferred

Cloud ServicesMicroservices Architecture

About the role

Original posting from Spotify via Lever

The Experience team designs Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise.

We’re now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You’ll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments.

Source: Spotify careers (Lever)

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