Staff Engineer - Content Intelligence Infrastructure

Spotify

New York, US

On-site

Who this role is best for

Aimed at senior engineers comfortable with backend systems and ML infrastructure, working in content intelligence platforms.

Best fit for

Senior engineers with experience in distributed data systems and AI platforms.
— “backend systems, ML infrastructure, distributed data systems”
Technical leaders who can shape infrastructure strategy across product areas.
— “help shape infrastructure strategy across the product area”

Things to consider

Role requires deep involvement in content understanding systems across multiple media types.
— “deep, machine-readable understanding of content across audio, video, text, and images”
Position involves executing on long-term technical investments, not just immediate deliverables.
— “execute on long-term technical investments”

How to stand out

Demonstrate experience scaling foundational infrastructure for content intelligence.
— “build and scale foundational infrastructure powering content understanding”
Highlight past work at the intersection of backend systems and ML infrastructure.
— “intersection of backend systems, ML infrastructure, distributed data systems”
Show examples of partnering with product leaders on technical strategy.
— “partnering with senior engineers, product leaders, and cross-functional teams”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

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

What success looks like

Infrastructure strategy
Cross-functional partnerships

Typical background

Deep technical expertiseLeadership in backend systems

Skills & requirements

Required

Backend SystemsML InfrastructureDistributed Data SystemsAi-enabled Platform Capabilities

Preferred

Content IntelligenceSpotify

Stack & domain

Backend SystemsMl InfrastructureDistributed Data SystemsAi-enabled Platform CapabilitiesContent IntelligenceAudioVideoTextImages

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)