Spotify

Machine Learning Engineer

• Own and improve the machine learning models and systems powering Spotify's Home feed, including the Shortcuts experience
• Design, build, and ship personalized recommendations for millions of Spotify listeners globally
• Build content recommendation systems for emerging agentic and AI-powered user experiences
• Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient training approaches
• Partner with product managers, engineers, data scientists, and designers to define and execute experimentation strategies
• Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency
• Improve ML platform capabilities, data pipelines, and production systems supporting personalization at Spotify scale
• Drive technical direction in ambiguous problem spaces and contribute to the long-term architecture of personalization systems
• Mentor and support other machine learning engineers

Staff Machine Learning Engineer – Home Surfaces

Data Scientist

• Partner with product, engineering, and user research to build the technology powering Discovery Mode
• Work with data scientists, researchers, product owners, engineers, designers, marketers, and others to develop promotion tools for artists
• Identify impactful product-development opportunities based on user needs
• Define metrics and build dashboards measuring product health and success
• Build and test hypotheses with data scientists to generate actionable product insights
• Improve and expand Spotify’s promotion products
• Contribute to the data science community by evolving best practices and learning new skills
• Maintain rigorous, data-informed decision-making to drive business impact
• Focus on customer engagement and reporting for Spotify’s self-serve Discovery Mode product

Data Scientist – Music Promotion

Product Manager

• Lead product strategy for Spotify’s audiobook experience
• Define and evolve the audiobook journey from discovery and evaluation through playback, library management, and reading
• Partner with the Audiobooks business unit to translate business strategy and listener needs into product innovation
• Drive innovation across multimodal experiences, including listening and reading
• Partner with Engineering, Design, Data, and other cross-functional teams to deliver high-quality experiences at scale
• Use data, experimentation, and user insights to make product decisions and improve the experience
• Build alignment across Core Experience, Audiobooks, Personalization, and other partners
• Lead complex cross-functional initiatives end to end, setting direction and scope, creating alignment, and partnering with Engineering on delivery
• Shape Spotify’s consumer experience across mobile apps and other platforms

Senior Product Manager – Audiobooks Format Foundations

• Lead analyses across user behavior and content data to shape product and strategy decisions
• Shape evaluation and improvement of content classification and taxonomy, focusing on safety
• Design evaluation frameworks, including sampling strategies, baselines, metrics, and annotation-based approaches
• Build scalable analytical foundations, including metrics, dashboards, and data and context for self-serve analysis and agents
• Partner with Product, Engineering, and Operations leadership on priorities and data-informed product strategy
• Raise analytical standards through methodological leadership, mentorship, and improvements to data practices across domains
• Support Spotify’s consumer experience and Content Platform across music, podcasts, and audiobooks

Staff Data Scientist

Backend Engineer

• Contribute to and maintain Spotify’s Desktop C++ application across macOS and Windows
• Develop native container capabilities enabling UI teams to build new experiences and use evolving platform capabilities
• Improve platform systems, CI configurations, build pipelines, packaging, and application delivery
• Develop and maintain backend services supporting content delivery, update infrastructure, and release tooling
• Build and improve operating system integrations, including features connecting Spotify with partner platforms
• Collaborate with external partners such as Microsoft on the latest platform capabilities
• Explore AI agent integrations within the Spotify Desktop experience
• Work with distributed engineers and partners to solve complex problems across systems, platforms, and technologies

C++ Engineer

• Design, build, evaluate, and improve machine learning training and inference pipelines for AI-driven music experiences
• Help take ML pipelines to fully scaled, production-ready features
• Apply machine learning and prompt engineering across complex ML pipelines involving large language models
• Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and enable rapid iteration
• Partner with music subject-matter experts to bootstrap training and reference data through synthetic generation, expert curation, and taxonomy design
• Build scalable systems balancing experimentation velocity with production rigor, performance, reliability, and latency at Spotify scale
• Collaborate with Data Science teams to connect evaluation frameworks with real-world usage signals and improve model quality
• Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure
• Work cross-functionally with engineering, product, design, and music industry partners to shape new listening experiences for artists and fans

Senior Machine Learning Engineer – Artist-First AI Music Lab

General

• Partner with regional Market MDs and GMs on strategy formulation, feedback, and refinement of regional strategies and plans
• Attend and actively participate in relevant M&S Growth Region QBR meetings
• Collaborate on strategic deliverables, including annual M&S market prioritization and budgeting
• Drive financial analysis alongside FP&A to deepen understanding of regional financial dynamics and profitable growth
• Build financial models analyzing growth and business dynamics of key competitors and peers in consumer tech
• Lead and collaborate on regional and cross-regional strategic and analytical projects
• Maintain familiarity with strategic pillars and scope elements of company bets, surfacing implications and decision points for Markets
• Identify and influence key bet teams to advance Markets goals, including go-to-market for key product features
• Report to the Director of Global Markets Strategy

Lead, Global Markets Strategy

Social Media Manager

• Serve as day-to-day campaign lead for social across tentpole and always-on campaigns, managing execution from creative briefing through post-mortem
• Translate overarching campaign strategy into actionable social plans with timelines, deliverables, and ownership
• Coordinate with REVERB and other external agency partners on asset creation, feedback cycles, and delivery schedules
• Lead campaign war rooms during peak moments, ensuring real-time content is on-brand, on-strategy, and approved
• Support communications strategy and execution for Wrapped and other major cultural tentpoles
• Coordinate with marketing, editorial, creative, and global market teams
• Run post-campaign analysis and provide performance insights, learnings, and recommendations
• Reimagine @ThisIsSpotify’s presence on X and develop differentiated platform content strategy and voice
• Create and publish X content, including real-time trend responses, campaign amplification, and always-on storytelling
• Edit and produce short-form video content
• Track performance and iterate on content strategy
• Translate company news, executive messaging, and corporate narratives into social content
• Develop social playbooks for earnings, policy announcements, Loud & Clear, and executive thought leadership
• Craft copy for @ThisIsSpotify and executive channels aligned with broader communications strategy

Social Media Manager, Campaigns & Platform Strategy

Manager

• Develop new proposition opportunities and evolve existing subscription tiers based on commercial thinking and local market realities
• Own the journey from initial hypothesis to executive recommendation, including opportunity sizing, unit economics, margin and licensing analysis, cannibalization modeling, and the final narrative
• Build and stress-test business cases accounting for Spotify’s licensing structure, local market dynamics, currency considerations, and subscriber economics
• Identify and quantify cannibalization across existing tiers and revenue streams, including free, lower-cost, and standard offerings
• Partner with Finance, Product, Legal, Strategy, and Market teams to challenge assumptions, build alignment, and shape recommendations
• Monitor competitive, consumer, and macroeconomic developments to identify opportunities and risks for the proposition roadmap
• Turn complex analysis into clear choices and recommendations for senior leaders

Manager, Proposition Strategy

Engineering Manager

• Manage and support a team of 7–8 engineers developing RightsDB, a centralized repository for copyright and rightsholder ownership data
• Support RightsDB initiatives, including the Publishing Deny List and ingesting UGC rights via DDEX
• Mentor, coach, and provide technical guidance to team members
• Foster a positive, inclusive, growth-oriented team culture
• Partner with product management and cross-functional stakeholders to define scope, roadmap, and priorities
• Align business needs with technical implementation and establish squad technical strategy
• Manage timelines and ensure reliable, timely feature delivery
• Oversee platform operations, including performance, security, incident response, and on-call rotations
• Encourage experimentation, continuous improvement, and technical ownership
• Collaborate with legal, rights operations, and content teams to evolve the Spotify Rights Center in line with regulatory needs and rightsholder expectations

Engineering Manager – Music

• Drive the product vision and roadmap for creator top-of-funnel and onboarding experiences
• Collaborate with design and engineering partners to write requirements and sequence deliverables
• Partner with marketing to activate creators and build product education across onboarding, experimentation, and marketing channels
• Partner with insights to understand creator needs and improve satisfaction and engagement
• Prioritize across diverse creator profiles and clarify next steps for creators
• Lead horizontal product experiences spanning teams and surfaces across the creator lifecycle
• Build relationships across Spotify to advocate for creator needs
• Communicate strategic context and decision rationale to different stakeholder groups

Product Manager – Podcast

• Define and drive the roadmap for catalog integrity, rights management, and platform safety across the Podcast Platform Product Area
• Partner with engineering to design scalable solutions using Spotify's trust, safety, rights management, and compliance capabilities
• Translate product strategy into clear technical requirements and end-to-end system flows
• Build systems governing content distribution on Spotify and ensure compliance with copyright, licensing requirements, platform rules, and applicable laws
• Lead the evolution of Spotify Rights Center for rightsholder content management and creator rights-issue workflows
• Translate evolving business, legal, and regulatory requirements into scalable product capabilities
• Collaborate across engineering, legal, licensing, Trust & Safety, operations, business, Podcast Mission, and Spotify platform teams
• Improve the quality, trust, and integrity of Spotify's content ecosystem

Research Scientist

• Conduct research in one or more areas of speech technology, such as text-to-speech synthesis, automatic speech recognition, neural audio codecs, or voice conversion.
• Develop and evaluate models using real-world data at scale, from problem formulation and data analysis through to experimentation and iteration.
• Collaborate with scientists, engineers, product managers, and designers across Spotify to translate research into product impact.
• Contribute to a long-term research roadmap while working on a focused internship project with clear deliverables.
• Have the opportunity to publish your work at relevant conferences.

Research Scientist – Fixed-Term

• Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
• Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
• Guide the design, development, deployment, and operation of production machine learning systems at scale.
• Support engineers through technical mentorship, career development, performance management, and regular feedback.
• Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
• Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
• Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
• Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.

Machine Learning Engineering Manager – Personalization

Full-stack Engineer

• Build end-to-end features across modern web applications, backend services, and data platforms that support Spotify's global subscription business.
• Create intuitive internal products that enable business teams to launch, configure, and manage Premium offers through secure, guided workflows.
• Design, develop, and maintain scalable backend services that power subscriptions, prepaid products, pricing, promotions, and the offer lifecycle.
• Develop GraphQL and gRPC APIs that connect frontend applications with distributed platform services.
• Design efficient database schemas, implement data migrations, and optimize application performance using PostgreSQL.
• Build secure, reliable, and auditable systems that support business-critical financial operations and SOX-compliant approval workflows.
• Collaborate with engineers across the Subscriptions Mission to evolve shared platform capabilities, improve developer experience, and increase platform reliability.
• Write maintainable, well-tested code while contributing to technical design, architecture discussions, code reviews, and continuous improvement.
• Participate in an on-call rotation to help maintain the reliability and availability of services powering Spotify Premium.

Staff Machine Learning Engineer – Home Surfaces

Data Scientist – Music Promotion

Senior Product Manager – Audiobooks Format Foundations

Staff Data Scientist

C++ Engineer

Senior Machine Learning Engineer – Artist-First AI Music Lab

Lead, Global Markets Strategy

Social Media Manager, Campaigns & Platform Strategy

Manager, Proposition Strategy

Engineering Manager – Music

Product Manager – Podcast

Product Manager – Podcast

Research Scientist – Fixed-Term

Machine Learning Engineering Manager – Personalization

Fullstack Engineer – Subscriptions