Spotify

Data Engineer

• Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact.
• Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences.
• Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions.
• Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads.
• Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability.
• Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem.
• Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement.

Staff Data Engineer – Subscriptions User Understanding

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