Spotify

Analytics Engineer

• Build and maintain scalable data models and pipelines using dbt and BigQuery.
• Develop measurement frameworks, dashboards, and self-service analytics solutions that drive product decisions.
• Partner with Product, Engineering, and Data Science teams to define metrics and improve how we understand product performance.
• Translate business questions into reliable, well-modeled datasets and actionable insights.
• Improve data quality, observability, documentation, and governance across the Music Mission.
• Contribute to responsible AI practices, ensuring data and insights are trustworthy, transparent, and scalable.
• Participate in a support rotation for critical datasets and analytics products.

Analytics Engineer – Music Creator Growth

Marketing

• Oversee the planning and execution of a dynamic social media content strategy for the UK and Ireland, leveraging platforms to build community, spark conversation, and increase brand engagement with relevant audiences. Identify trends, optimise content for each platform, and collaborate with influencers and creators to expand reach.
• Manage our key agency partner fostering a culture of creativity, collaboration, and accountability. Ensure high-quality execution that aligns with the brand’s vision and strategic goals.
• Optimise with the use of paid media.
• Provide strategic oversight and direction for the Netherlands social marketing, ensuring alignment with broader global brand strategy, sharing best practices, and supporting cross-market campaign activations.
• Participate in the adaptation, creation and execution of innovative, multi-channel marketing campaigns that amplify our brand, content, and partnerships across all three markets.
• Collaborate closely with our Music and Podcast team to ensure that all content created for our brand is culturally relevant and adheres to our channel guidelines. Develop a keen understanding of the local music community, industry and fans, particularly the nuances of UK and Irish music culture, audience sensibilities, and social behaviour.
• Define and strengthen our brand identity, ensuring consistency across all marketing touchpoints. Develop culturally resonant campaigns and initiatives that reflect our commitment to diversity, music discovery, and audience connection.
• Build and nurture relationships with creators and relevant players in the UK and Irish cultural landscape to expand the platform’s reach.
• Harness data insights to drive engagement with key audience segments, especially Gen Z. Analyse marketing performance metrics to measure ROI, identify opportunities, and optimise campaigns. Stay dialled in to social sentiment and report trends to key stakeholders.
• Stay informed of industry trends, emerging platforms, and audience behaviour to adapt strategies as needed.
• Lead on social roll out across live experiences and hero campaigns across both paid and organic

Social Marketing Manager

Manager

• Lead and manage a regional team of troubleshooting and QA professionals focused on programmatic and direct advertising campaigns
• Partner with Product and Sales Training teams to support new product launches, identify skill gaps, and build scalable training programs and operational documentation.
• Work cross-functionally with Sales, Product, and Engineering teams to optimize digital advertising campaign delivery and resolve technical issues
• Partner with buyers and DSP partners to troubleshoot and resolve campaign delivery challenges
• Collaborate with global support teams to deliver high-quality campaign operations and consistent customer outcomes
• Own the regional ticket-based support workflow, maintaining quality and SLA standards across the team
• Drive structured QA processes and develop best practices for programmatic and direct ad campaign troubleshooting
• Serve as a regional escalation point for complex technical issues impacting ad delivery and campaign performance
• Identify recurring campaign and platform issues and partner with Product, Engineering, and Ad Product Quality teams to drive long-term solutions.

Manager, Technical Advertising Solutions – APAC

Machine Learning Engineer

• Lead end-to-end machine learning initiatives from ideation and prototyping through experimentation, deployment, and large-scale productionization.
• Design, develop, and deploy machine learning systems that operate across hundreds of millions of content signals using both real-time and batch processing architectures.
• Advance Spotify’s capabilities in natural language understanding, multimodal AI, and content intelligence. Build and evaluate LLM-powered solutions using modern prompting techniques, retrieval systems, and advanced model orchestration approaches.
• Define rigorous evaluation methodologies including golden datasets, precision and recall frameworks, offline benchmarking, and online experimentation.
• Partner closely with Product Managers, Engineering Managers, Staff Engineers, and Data Scientists to influence technical strategy and roadmap decisions.
• Mentor engineers across the organization and help elevate machine learning engineering standards and best practices.
• Contribute to the adoption of AI-assisted development workflows and tooling that improve team productivity and engineering effectiveness.

Senior Machine Learning Engineer – Content Intelligence

• Lead and manage a regional team of troubleshooting and QA professionals focused on programmatic and direct advertising campaigns.
• Partner with Product and Sales Training teams to support new product launches, identify skill gaps, and build scalable training programs and operational documentation.
• Work cross-functionally with Sales, Product, and Engineering teams to optimize digital advertising campaign delivery and resolve technical issues.
• Partner with buyers and DSP partners to troubleshoot and resolve campaign delivery challenges.
• Lead collaboration with global support teams to deliver high-quality campaign operations and consistent customer outcomes.
• Own the regional ticket-based support workflow, maintaining quality and SLA standards across the team.
• Drive structured QA processes and develop best practices for programmatic and direct ad campaign troubleshooting.
• Serve as a regional escalation point for complex technical issues impacting ad delivery and campaign performance.
• Identify recurring campaign and platform issues and partner with Product, Engineering, and Ad Product Quality teams to drive long-term solutions.

Manager, Technical Advertising Solutions

Business Development Rep

• Own and grow a portfolio of strategic hardware and audio technology partnerships
• Contribute to defining and executing the long-term partnership strategy
• Lead negotiations for contractual agreements covering both business and technical terms
• Partner closely with Product, Engineering, and Audio teams to ensure integrations meet standards
• Build relationships across various functions at partner organizations
• Interface regularly with global teams
• Coordinate cross-functionally internally to drive partnerships forward
• Stay ahead of the consumer hardware and audio technology landscape
• Use data and AI-driven insights to improve partner integrations
• Advance Spotify’s position in hardware/audio ecosystems

Manager, Consumer Business Development – Speaker and Audio Partners

• Manage and grow a portfolio of strategic partnerships, with a focus on audiobooks and media partners, serving as a trusted day-to-day partner contact
• Act as the primary point of contact for partners' needs, while executing long-term partner strategies that bring value to Spotify users around the world.
• Lead and support the negotiation of contractual agreements and operationalize those partnerships to ensure commitments are delivered across product, marketing, reporting, and integrations.
• Build deep relationships across partner organizations, from product and engineering to business, marketing, and content, interfacing regularly with global teams.
• Partner closely with Product and Engineering to define and support distribution strategies and integrations across partner surfaces and platforms.
• Coordinate cross-functionally internally with Legal, Licensing, Product, Technology, Marketing, Content, and Premium teams to drive partnerships forward.
• Source, evaluate, and develop new partnership opportunities, with a focus on expanding Spotify’s audiobooks ecosystem, while scaling existing relationships across media and emerging partner areas
• Navigate evolving partner ecosystems and translate strategy into scalable execution.
• Partner closely with internal leads to operationalize and scale initiatives across a defined portfolio
• Stay ahead of industry trends across audiobooks, publishing, and the broader media landscape, bringing an informed perspective to partnership opportunities and internal priorities
• Leverage data and AI tools to identify emerging partnership opportunities and scale decision-making across a diverse partner set

Manager, Consumer Business Development – Audiobooks, Media Partners

Data Scientist

• Act as a core analytics partner to Podcast & Video content teams, providing deep-dive research and insights that shape long-term, data-driven programming and product roadmaps.
• Identify emerging trends in podcast listening and video consumption, pinpointing opportunities in priority markets to keep Spotify’s Podcast & Video strategy ahead of the curve.
• Transform complex data into scalable, actionable playbooks that empower global content and product teams to execute high-impact strategies.
• Design measurement frameworks using causal inference, experimentation, and modelling to quantify the incremental impact of Podcast & Video content and product decisions.
• Build and iterate on AI-powered dashboards and data visualisations that make Podcast & Video data more accessible and intuitive for stakeholders across the business.
• Leverage AI tooling, including LLMs and agentic coding assistants, to automate analytical workflows, accelerate insight generation, and explore new frontiers in data storytelling.
• Synthesise data findings into compelling narratives that drive alignment across Product, Engineering, and Content stakeholders.
• Gather stakeholder input to understand and translate their needs into clear data requirements and deliverables, supporting documentation, and knowledge sharing across the team.

Backend Engineer

• work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam
• develop, deploy, and operate Java services that impact millions of users
• support machine learning projects powering personalized experiences
• collaborate with engineers, product managers, and stakeholders
• deliver scalable, testable, maintainable, and high-quality code
• share knowledge and promote best practices through mentorship

Backend Engineer – Personalization

• Design and build backend services that support podcast and video podcast content ingestion, management, and administration at scale.
• Own and operate high-availability systems, ensuring they are reliable, observable, and easy to maintain in production.
• Collaborate with SREs, other backend engineers, and cross-functional partners such as customer support and product managers to understand requirements and deliver effective solutions.
• Build and maintain integrations that support the podcast distribution API and content management systems.
• Drive operational excellence through better monitoring, alerting, automation, and incident response practices.
• Contribute to the technical direction of the platform, including evaluating AI-powered approaches to automate operational workflows.

Backend Engineer – Podcast

Content Marketing Manager

• 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
• Develop reliable and cost-efficient systems for high-throughput content processing
• 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