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We design 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.
Policy & Safety (P&S) is a domain within Content Platform in the Experience Mission, responsible for building Spotify’s content moderation and regulatory compliance infrastructure. This includes rule engines, enforcement pipelines, policy configuration systems, and compliance data platforms that ensure safety at scale.
The team operates at the intersection of backend platform engineering, machine learning systems, and regulatory compliance, partnering closely with Licensing, Trust & Safety, Legal, and Public Affairs. Sitting on the critical path for every new content type and feature, P&S enables safety-by-default experiences while supporting global regulatory requirements and evolving product innovation.
What you'll Do
Define the technical direction for policy enforcement infrastructure
Architect enforcement capabilities as a shared platform designed to be consumed by multiple product teams rather
Design and evolve multi-signal orchestration systems that enable configurable, auditable policy enforcement at scale across content types and product surfaces
Build the data foundation that makes enforcement decisions durable and reusable
Own the hardest API and contract decisions: schema design, versioning strategy, and how enforcement interfaces evolve without breaking the teams that depend on them
Establish integration standards for teams onboarding onto shared enforcement infrastructure, and work directly with consuming teams to execute migrations with clean cutoffs and clear end states
Influence architecture across detection, signal processing, and enforcement workflows so that the underlying primitives stay coherent as the platform scales
Mentor engineers and set the bar for how the team reasons about API design, data modeling, and the downstream compliance consequences of infrastructure choices
Who You Are
Deep experience designing and operating large-scale distributed systems, APIs, event-driven pipelines, rule engines, and decision systems running in production across high-throughput environments
Proficient in backend engineering at scale, with strong command of languages like Java, Kotlin, Go, or similar; comfortable owning data models, service contracts, and storage layer decisions
Experienced with stream processing and event-driven architectures (Kafka, Pub/Sub, or equivalent) and the tradeoffs between batch and real-time enforcement pipelines
You have designed systems where schema and contract stability matter as much as correctness
Experienced with workflow orchestration and distributed coordination, whether through dedicated orchestration frameworks like Temporal or Airflow, choreography-based event systems, or hybrid approaches, and understand the tradeoffs between each in the context of long-running, stateful enforcement workflows
Experienced with relational and non-relational storage systems and know how to model enforcement data for auditability, immutability, and efficient querying at scale
You understand platform engineering patterns: multi-tenant APIs, configurable rule engines, policy-driven actioning systems, and the difference between building for one team and building for many
Familiar with observability and operational excellence, distributed tracing, structured logging, alerting, and the tooling that makes enforcement systems debuggable and auditable in production
You have worked in regulated or compliance-adjacent environments and understand how infrastructure design decisions, log retention, schema choices, data lineage, carry legal and audit consequences
You are comfortable in polyglot environments and can navigate existing systems thoughtfully rather than defaulting to greenfield rewrites
You think in systems end-to-end
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.
Skills Required
- Deep experience designing and operating large-scale distributed systems in production
- Strong backend engineering experience at scale
- Proficiency in Java, Kotlin, Go, or similar programming languages
- Experience with APIs, data modeling, service contracts, and storage-layer decisions
- Experience with stream processing and event-driven architectures, such as Kafka or Pub/Sub
- Experience designing systems requiring schema and contract stability
- Experience with workflow orchestration and distributed coordination, including Temporal, Airflow, event choreography, or equivalent
- Experience with relational and non-relational storage systems
- Understanding of platform engineering patterns, multi-tenant APIs, configurable rule engines, and policy-driven systems
- Familiarity with observability and operational excellence, including distributed tracing, structured logging, and alerting
- Experience in regulated or compliance-adjacent environments
- Ability to work in polyglot environments and navigate existing systems
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
