Spotify

About the Company

Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m 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.

Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.

Listed Jobs

Company Name

Spotify

Job Title

Customer Success Manager, London

Job Description

**Job Title:** Customer Success Manager **Role Summary** Customer Success Manager drives advertiser and agency partner relationships, serving as a strategic advisor to execute campaigns and optimize outcomes using Spotify’s advertising solutions. Ensures seamless campaign execution through cross-functional collaboration while fostering long-term client growth. **Expectations** - Act as primary client contact for sales and campaign lifecycle, delivering exceptional service. - Recommend Spotify products and buying channels (direct, programmatic, self-serve) aligned with client objectives. - Lead end-to-end campaign setup, activation, and post-campaign analysis. - Optimize media plans and deliver performance reports to meet client goals. - Collaborate with cross-functional teams (creative strategy, production, measurement) for flawless execution. - Translate client insights into data-driven recommendations and revenue growth opportunities. **Key Responsibilities** 1. Build trust through consultative engagement, diagnosing challenges, and proposing tailored solutions. 2. Manage RFP responses, media planning strategies, and billing processes. 3. Coordinate cross-functional teams to align on client objectives and ensure execution. 4. Monitor campaign performance, adjust strategies, and provide actionable insights. 5. Advise clients on Spotify’s ad formats, leveraging first-party data and AI targeting. 6. Deliver post-campaign analyses to drive repeat business and retention. **Required Skills** - 3+ years in digital media planning/buying, with programmatic/self-serve expertise. - Strong sales or advertising background with a results-driven, commercial mindset. - Strategic problem-solving and decision-making in ambiguous environments. - Excellent cross-functional coordination and client-facing communication. - Deep understanding of advertising metrics, buying channels, and campaign optimization. - Data literacy and ability to translate insights into strategic recommendations. **Required Education & Certifications** - Bachelor’s degree in Sales, Advertising, Marketing, or Business. - Proven experience in digital media planning, ad tech, or related fields. - Familiarity with client engagement, campaign management, and advertising ecosystems.

London, United kingdom

On site

Junior

11-03-2026

Company Name

Spotify

Job Title

Data Scientist - Platform Developer Experience

Job Description

**Job Title** Data Scientist – Platform Developer Experience **Role Summary** Analyze data to improve developer experience within the internal platform used by Spotify engineers. Build metrics, dashboards, and reports to drive data‑driven product enhancements. Collaborate with engineers, data scientists, product managers, and researchers to translate insights into actionable improvements. **Expectations** - 4+ years of professional experience in data analysis, reporting, and business‑intelligence visualization (Tableau or equivalent). - Strong coding ability in Python, SQL, and/or R. - Clear communication of technical findings to diverse audiences. - Curiosity and willingness to explore new domains, especially internal developer platforms and tooling. **Key Responsibilities** - Define quantitative metrics and build dashboards that track engineer interactions with the developer platform. - Perform exploratory data analysis on usage, deployment, and tooling efficiency. - Generate reports and communicate actionable insights to product, engineering, and research stakeholders. - Advise on data‑best practices and support adoption of analytics within the team. - Collaborate across cross‑functional teams to identify opportunities for enhancing developer experience. **Required Skills** - Programmatic data analysis and visualization (Tableau, Power BI, Looker, etc.). - Proficient in Python, SQL, and/or R for data manipulation and modeling. - Strong analytical, statistical, and problem‑solving skills. - Excellent written and verbal communication, adaptable to technical and non‑technical audiences. - Experience or keen interest in continuous integration, deployment pipelines, documentation systems, or developer productivity tools. **Required Education & Certifications** - Bachelor’s or master’s degree in Computer Science, Statistics, Data Science, or related field. - Professional certification in data analytics (e.g., Tableau Desktop Specialist, Microsoft Power BI, etc.) is a plus.

London, United kingdom

On site

Junior

11-03-2026

Company Name

Spotify

Job Title

Analytics Engineer - User Platform

Job Description

**Job Title**: Analytics Engineer – User Platform **Role Summary**: Build and maintain the foundational data infrastructure for user access and identity management. Deliver production‑ready datasets that enable teams to detect friction, measure conversions, and continuously improve the user experience. Lead data quality initiatives, model design, and cross‑functional collaboration on event instrumentation and analytics pipelines. **Expectations**: - Translate open‑ended analytics goals into scalable, production‑grade datasets. - Operate autonomously across multiple teams in ambiguous environments, following high‑level guidance. - Mentor peers, promote a data‑driven culture, and ensure rigorous data quality and performance standards. **Key Responsibilities**: - Define, optimize, and evolve the IAM domain data schema. - Partner with engineering to establish event instrumentation requirements and verify data capture. - Lead long‑term data‑infrastructure projects focused on quality, technical health, and data‑informed decision making. - Design unified data models that consolidate disparate sources into analysis‑friendly datasets. - Build, test, and maintain datasets and pipelines using DBT, Python, SQL on BigQuery and GCS. - Collaborate with data scientists, engineers, and product leads to promote shared data methodologies. - Continuously monitor, test, and improve data quality and pipeline performance. - Mentor and train team members on best practices in data engineering. **Required Skills**: - Strong SQL and Python proficiency in building data products. - Experience with data modeling, access patterns, storage techniques, and ETL/DAG workflows. - Skilled with DBT (or similar) and cloud data warehouses (BigQuery, Redshift, Snowflake). - Familiarity with GCP tooling (BigQuery, GCS) is a plus. - Excellent communication, relationship building, and mentoring abilities. - Self‑driven, able to work effectively across teams with minimal direction. **Required Education & Certifications**: - Bachelor’s degree (or equivalent) in Computer Science, Engineering, Data Science, or related field. - No mandatory certifications, though experience with GCP Professional Data Engineer, BigQuery, or DBT is advantageous.

London, United kingdom

On site

12-03-2026

Company Name

Spotify

Job Title

Fraud Operational Analyst

Job Description

**Job Title:** Fraud Operational Analyst **Role Summary:** Provide analytical and operational support to Spotify’s anti‑abuse program, investigating fraud and abuse cases, recommending policy and process improvements, and collaborating with cross‑functional teams (technology, legal, licensing, rights‑holders) to safeguard platform integrity. **Expectations:** - Deliver timely, data‑driven responses to support tickets and investigative requests. - Communicate findings clearly to internal stakeholders and external partners. - Maintain a structured, detail‑oriented approach under tight deadlines. - Use AI‑powered tools to enhance workflow efficiency. **Key Responsibilities:** - Analyze incoming fraud/abuse cases, applying mitigation workflows and ad‑hoc data analysis. - Prepare written and verbal communication threads with internal and external collaborators. - Identify and propose enhancements to anti‑abuse policies, processes, systems, and product features. - Build and maintain data visualisation dashboards (Tableau/Looker) to track key metrics. - Summarise large data sets to extract actionable signals for automation and prevention. - Conduct investigations, risk assessments, and threat analyses for internet‑related products. **Required Skills:** - Proficiency in SQL and experience querying large data sets. - Strong analytical mindset with a solid grasp of business impact. - Structured, detail‑oriented problem solving. - Excellent verbal and written English communication; presentation skills. - Ability to simplify complex findings for diverse audiences. - Experience with fraud/abuse investigations, fraud risk management, security, and threat analysis. - Familiarity with AI‑enhanced analysis tools. - Experience using Tableau or Looker dashboards. **Required Education & Certifications:** - Bachelor’s degree in technology, analytics, data science, or a related field. - Relevant certifications in data analysis, security, or fraud management are advantageous.

London, United kingdom

On site

13-03-2026