Spotify

Machine Learning Engineer

• Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
• Design, build, and ship personalized recommendations that serve 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 techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.
• Partner closely 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 that support personalization at Spotify scale.

Senior Machine Learning Engineer, Surfaces Moments

Account Manager

• Lead business case development for Distribution Partnerships by building investment models that combine subscriber forecasts, partnership economics, and full P&L impact.
• Develop financial frameworks that evaluate new and existing partnerships, including lifetime value, payback periods, return on investment, and other key performance metrics.
• Analyze large and complex datasets to identify trends, opportunities, and risks that inform partnership strategy and investment decisions.
• Partner closely with Distribution Partnerships, Accounting, Business Affairs, Legal, Strategy, and other cross-functional teams to translate financial insights into clear recommendations for business and senior leaders.
• Build, maintain, and continuously improve reporting for the partnership portfolio, including KPIs, performance tracking, forecasting, and variance analysis.
• Support annual planning, quarterly forecasting, and ongoing financial planning activities by partnering with business leaders to establish data-driven targets.
• Identify opportunities to improve financial processes, reporting, and tooling to help Spotify evaluate and manage partnerships more effectively.

Manager FP&A, Distribution Partnerships

Product Manager

• Own the product strategy and roadmap for the freemium-to-Premium funnel, improving conversion, trial-to-paid, ARPU, and long-term retention
• Shape subscription plans and portfolio in partnership with Pricing & Packaging, including tiers, durations, and regional pricing strategies
• Lead discovery, design, and delivery of subscriber-facing features from concept through global rollout
• Run lifecycle and monetization experiments across trials, win-back, upgrades, payment recovery, and retention flows
• Translate behavioral and revenue data into hypotheses, define success metrics, and drive a prioritized experimentation roadmap
• Design and evaluate A/B experiments, scaling solutions that deliver measurable impact
• Balance trade-offs across user value, revenue impact, and operational complexity
• Partner with Finance, BizOps, and regional teams to localize plans, offers, and messaging
• Communicate strategy, results, and trade-offs clearly to senior stakeholders

Senior Product Manager – Subscriptions

Backend Engineer

• Collaborate with an autonomous engineering squad
• Design, build, and evolve critical infrastructure
• Develop secure delegated authorization flows
• Partner with client and backend engineers
• Improve storage and management of credentials and access tokens
• Contribute to the evolution of Spotify’s authorization frameworks
• Drive technical improvements and share knowledge

Senior C++/iOS Engineer – User Platform

Engineering Manager

• Lead and develop a team of six experienced engineers
• Accountability for team delivery
• Partner with product and stakeholders for roadmap shaping
• Drive technical strategy and architectural decisions
• Build a culture of ownership, psychological safety, and continuous improvement
• Collaborate across Data Platform and wider engineering organisation
• Manage on-call health, operational excellence, and reliability
• Participate in hiring and onboarding

Engineering Manager – Data Platform

• Design and develop scalable backend systems and APIs using Java services
• Collaborate with Data Scientists and or Data Engineers to build and maintain complex data pipelines using frameworks like Scio, Storm, Spark, and Google Cloud Platform
• Develop expertise in testing practices, including TDD and integration testing
• Ensure high-quality code through automated testing and continuous integration
• Lead high-performance Java service development and operations for millions of users
• Partner with Data Scientists and User Researchers to understand user needs and inform product decisions

Backend Engineer – Advertising

• Define the long-term vision, strategy, roadmap, and execution for Habit Formation across Spotify's consumer experience.
• Build the behavioral intelligence that helps identify when listeners are ready to discover new formats, features, or experiences.
• Partner with engineering, machine learning, design, research, and data science to build experiences powered by behavioral insights and experimentation.
• Translate advances in AI, recommendation models, and intelligent agents into intuitive consumer experiences that millions of listeners love.
• Develop systems that encourage sustainable engagement while ensuring teams work together instead of competing for user attention.
• Influence the evolution of Spotify's surfaces, information architecture, and product experiences to reinforce lasting listening habits.
• Use experimentation, behavioral analysis, and user research to identify opportunities and make informed product decisions in ambiguous problem spaces.
• Set clear product direction, make thoughtful prioritization decisions, and align senior leaders around a shared strategy.
• Drive execution across multiple engineering teams while balancing quality, speed, user trust, and long-term business impact.
• Establish Habit Formation as a strategic product capability that enables sustainable growth across Spotify.

Principal Product Manager, Habit Formation

• Define the product strategy and roadmap for a portfolio of User Platform products spanning account lifecycle management, IAM analytics, and device and client intelligence.
• Partner closely with engineering managers, staff engineers, data scientists, analytics engineers, designers, researchers and insights teams to shape product direction and deliver long-term platform value.
• Collaborate across missions, studios and product areas to ensure Spotify's identity and user data platform evolves to meet business and customer needs.
• Help build Spotify's account lifecycle platform with well-defined account states, governed lifecycle transitions and comprehensive audit capabilities supporting Engineering, Customer Service, Legal and partner teams.
• Lead the product vision for User Intelligence, the shared platform that enables trusted understanding of users, devices and sessions through reusable signals and APIs.
• Partner with teams across User Fraud, Subscriptions, Advertising, Personalization, Safety, Legal and Platform to ensure trusted identity data becomes a strategic input for decision making.
• Translate complex identity, trust and data challenges into clear product strategies, business outcomes and prioritization decisions.
• Define success metrics including platform adoption, signal quality, data trust, lifecycle diagnosis time, decision latency and reduction of fragmented local solutions.
• Balance long-term platform investments with near-term business priorities, regulatory requirements and user experience.
• Foster an effective product operating rhythm across multiple squads by creating clarity, alignment and shared ownership that enables teams to move with confidence.

Senior Product Manager – User Platform

• Lead the product strategy for BEAT and define the vision for agent-native backend development across Spotify's platform.
• Shape how AI and LLM-powered capabilities transform the software development lifecycle.
• Stay close to the product by using and evaluating BEAT's developer tools.
• Lead and develop a team of Product Managers, fostering a collaborative, high-performing team.
• Partner closely with the Engineering Area Lead to align priorities.
• Build trusted partnerships with senior engineers and the Backend Advisory Board.
• Collaborate across Product Areas, studios, and the broader Platform Mission to deliver shared infrastructure initiatives.
• Own delivery against Core Infrastructure's strategic commitments.

Group Product Manager – Backend Experience, Core Infrastructure

Marketing Operations

• Lead the evolution of Spotify's growth marketing technology ecosystem by identifying, implementing, and optimizing tools that enable scalable, high-performing marketing campaigns.
• Take an AI-first approach to improving workflows.
• Partner closely with Growth Marketing, Product, Engineering, Data Science, and Analytics teams.
• Evaluate new marketing technologies, vendors, and emerging AI capabilities.
• Support the delivery of performance marketing initiatives.
• Drive continuous improvements to campaign operations.
• Stay current on trends across marketing technology, AI, and digital advertising.

Marketing Technology Manager

• Build & launch products in the Spotify Ads Manager to drive advertiser revenue and improve ad performance.
• Leverage advertiser insights, lead data-driven experimentation, and navigate complex trade-offs to drive clear business impact and scale.
• Drive continuous product discovery and funnel optimization for the advertiser platform, directly influencing retention and long-term business growth.
• Implement AI tooling to build innovative and performant products with speed.
• Work cross-functionally with engineering, design, product insights and business partners and collaboratively with other product teams to identify and drive high-impact opportunities.
• Create products and APIs which scale on our ads platform.
• Help develop a holistic ad strategy for the future of the Spotify Ads Business.
• Create a healthy and productive environment in your team through honesty, accountability, empathy and inclusivity.

Senior Product Manager – Advertising

Customer Support

• Own payments forecast process across planning cycles
• Serve as finance lead for payment partner agreements
• Build business cases for payment optimisation initiatives
• Evaluate financial impact of checkout experience investments
• Partner with regional leads to evaluate local payment method economics
• Provide financial lens on revenue protection and payment risk
• Build and maintain workforce models for customer service
• Quantify financial impact of self-service and automation
• Establish reporting infrastructure and track KPIs

Manager, Financial Planning & Analysis – Payments, Customer Service

Producer

• Pitch story ideas tied to the news cycle that can be executed on a tight timeline, as well as contribute to longer-term projects
• Book, prepare for, record, and produce interviews with sources inside and outside of the WSJ newsroom
• Write scripts and shape narratives for episodes, with attention to pacing, tone, and story arc
• Travel for and produce field reporting when stories require it
• Log, cut, and arrange tape, build assemblies, score moments, and handle everything else production requires
• Balance multiple episodes in production simultaneously

Research Scientist

• Conduct groundbreaking research in generative audio using diffusion or flow matching models
• Run large-scale experiments with access to Spotify's infrastructure and audience
• Create practical applications harnessing generative technologies
• Collaborate with a cross-functional team to craft innovative solutions
• Engage with the broader research community by publishing findings and delivering talks

Research Scientist – Generative Audio

• Conduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas:
• Vocal Synthesis — Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing.
• Post-Training — Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence.
• Editing — Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes.
• Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.
• Create practical applications that harness generative technologies and push the boundaries of what's possible in listening experiences.
• Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.
• Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization.
• Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.