Spotify

Risk

• Test technology components within the SOX framework, including planning, executing walkthroughs, reporting, and driving continuous improvements such as control rationalization.
• Design, build, and iterate on internal audit & risk tooling and systems using AI agents, leveraging modern cloud-native architectures and generative AI models to drive execution.
• Champion technology-enabled audit execution by embedding AI directly into core audit processes to deliver deeper, more effective results.
• Develop a deep understanding of the businesses, products, and processes you are auditing, including their strategy, product lifecycle, and associated business processes.
• Participate in complex assurance and advisory projects, covering risk assessment, testing, and reporting across various technical domains.
• Coordinate with co-sourced providers, external auditors, and internal process owners to ensure the timely and effective execution of the SOX testing program and operational/technical audits.
• Provide guidance and support to internal stakeholders as they address control deficiencies or make significant process changes, such as the implementation of new systems or product features.

Senior Analyst – Internal Audit, Risk

Machine Learning Engineer

• Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users
• Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows
• Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences
• Own components end-to-end — from data pipelines and model training to production serving and monitoring
• Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement
• Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building "0-to-1" experiences looks like in practice

Senior Machine Learning Engineer, Personalization

Executive Assistant

• Keep your executive’s calendar running smoothly by scheduling and prioritizing internal and external meetings
• Plan and coordinate business travel, including detailed itineraries and logistics
• Track expenses and manage purchase orders, ensuring deadlines are met
• Support day-to-day communication, including managing phone logistics and contact updates
• Organize team events, offsites, and industry moments, and provide onsite support when needed
• Partner closely with your executive to align their time with team and company priorities
• Collaborate with communications and content teams to prepare materials for presentations and speaking engagements
• Support special projects, research, and planning work as needs come up

Executive Assistant – Music

Creative Strategist

• Lead end-to-end creative development for Paid Social (Meta, TikTok, Snapchat), Google (Demand Gen, Google App Campaigns), CTV, and lifecycle marketing channels from brief through final asset delivery, ensuring all creative is on-brand and optimized for conversion.
• Build and maintain a creative review framework that defines who reviews what, at which stage, and against which criteria, creating clarity and consistency across teams.
• Advocate for creative quality, going beyond brand guideline compliance to support work that is compelling, differentiated, and built to perform.
• Develop a POV on creative volume and testing — how much creative is needed, what should be tested, and what is driving impact vs. generating noise.
• Build an annual creative roadmap of themes, priorities, and focus areas that aligns both teams around a shared creative strategy and reduces reactive production.
• Analyze creative performance metrics (CTR, CVR, CPA, etc.) to identify effective patterns and surface opportunities for improvement.
• Synthesize test results into clear, actionable creative briefs and iteration roadmaps, and communicate findings to stakeholders across both teams.
• Identify and implement automation and AI tools across the creative workflow, establishing a clear framework for where and when they should be used vs. where human creative judgment is essential.
• Stay ahead of platform-specific creative best practices and emerging formats, and proactively incorporate them into the creative playbook.
• Collaborate with media buyers and growth managers to ensure creative is aligned with investment strategy, platform algorithms, and audience targeting.

Manager, Growth Creative Strategy – Markets & Subscribers

Data Scientist

• Lead end-to-end research and measurement projects that evaluate the safety of new and existing features
• Design data for product risk assessments, stress tests, and evaluation of AI-powered features
• Develop longitudinal trust and safety metrics to evaluate the effectiveness of product interventions
• Translate complex research findings into clear narratives, tools, and recommendations
• Partner with product safety specialists, policy advisors, and engineering counterparts
• Build and improve evaluation methods in collaboration with data scientists and engineers

Data Scientist II – Trust & Safety

Frontend Engineer

• Build and evolve the Spotify Rights Center web application used by music labels, publishers, and other rightsholders to manage how their content appears on Spotify
• Collaborate closely with product managers, designers, and backend engineers to deliver intuitive and high-quality user experiences
• Develop complex workflows that support large datasets, territory-level permissions, and multi-step processes for managing rights and disputes
• Integrate frontend systems with multiple backend services to support scalable and reliable data flows
• Write performant, accessible, and well-tested frontend code using modern development practices
• Partner with backend engineers to design and evolve APIs that support the needs of the product
• Contribute to product discovery and ideation with engineers, researchers, and product specialists
• Help improve engineering practices and advocate for strong frontend architecture and quality standards
• Support a collaborative team environment that encourages learning, experimentation, and growth

Frontend Engineer – Music

Product Marketing

• Drive product and feature development of Spotify’s advertising measurement solutions, tapping into your market knowledge to help R&D teams identify and prioritize the most impactful work.
• Deeply understand customer segments and collect high-quality product feedback to influence product roadmaps and to guide global marketing tactics.
• Develop product positioning strategies that clearly articulate the value proposition of Spotify and differentiate us in market.
• Lead product launches with a multitude of cross-functional teams including sales, operations, PR, marketing, and more.
• Support global product adoption and growth through market expansion, sales enablement, and thought leadership.

Product Marketing Manager, Measurement

Product Designer

• Design end-to-end user experiences across Spotify's self-serve advertising platform (Ads Manager), contributing to features like ad creation, targeting, reporting, optimization, and measurement.
• Work within and contribute to a shared design system used across Ads Manager and internal tools, with attention to component reusability, accessibility, and visual consistency.
• Collaborate with engineers to translate backend systems, APIs, and ML-powered features into interfaces that are intuitive and performant.
• Partner with PMs, engineers, data scientists, researchers, and content designers to shape product direction, advocate for user needs, and help influence your team's roadmap.
• Build prototypes using real data and motion where relevant to explore technical constraints, validate interaction models, and communicate product behavior in dynamic, data-driven environments.
• Work alongside researchers and data scientists to identify the right questions to answer, and use insights to deepen your team's understanding of user problems.
• Support design efforts on internal tools used by operational teams, helping reduce manual processes and improve the efficiency and reliability of internal workflows.
• Contribute to a feedback-rich team culture that values critique, iteration, and craft excellence.

Product Designer – Advertising

Full-stack Engineer

• Collaborate with band members on the Ads API and Data Store team to enhance our API and data ecosystem, including ingestion, consumption, transformation and storage.
• Collaborate with engineering squads across Spotify, helping them enhance their products by providing first class data solutions, knowledge and education.
• Work in an environment that supports your individual growth.
• Improve operational excellence and share your knowledge across the company to promote best practices.

Full Stack Engineer – Advertising

• contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations
• lead collaborations and align across PZN to integrate and A/B test mid-term signals
• promote best practices of ML systems development throughout the organization
• responsible for ML development, prototyping models, building pipelines, productizing/scaling models, and launching A/B tests

Senior Machine Learning Engineer, Personalization, Rewards

Backend Engineer

• Own and evolve the core experimentation service, building agentic workflows that automate experiment setup, configuration, and validation across multiple backend systems
• Design and maintain API-first orchestration layers that coordinate across experimentation and content delivery systems
• Build and integrate LLM-driven workflows into robust, production-ready infrastructure, including planner, generator, and validator architectural patterns
• Define and uphold SLOs and SLAs for experimentation infrastructure, contributing to a strong culture of reliability and operational excellence
• Partner closely with content, feature, and platform teams to scale automated experimentation patterns across a growing range of surfaces and configurations
• Identify, diagnose, and resolve bottlenecks in experiment orchestration to ensure fast and reliable workflows
• Collaborate across squads to continuously improve how experimentation and evaluation are delivered across Spotify Surfaces
• Contribute to architectural decisions that improve system scalability, observability, and maintainability

Senior Backend Engineer – Surfaces

Platform Engineer

• Build and operate components of our multi-cloud foundations across GCP and AWS, including compute, storage, networking, identity, and platform primitives
• Own components and features end-to-end: from technical design through implementation, rollout, and on-call
• Contribute to developer tooling (CI/CD, build systems, deployment, observability) so engineers ship safely and quickly
• Participate in incident management, on-call, and postmortems, using AI assistants to accelerate root cause analysis
• Collaborate across Platform and R&D to improve developer productivity
• Contribute to Backstage and Portal to simplify cloud and tooling access
• Grow through code reviews, design discussions, and collaboration with senior engineers

Software Engineer – Platform Infrastructure

• design, build, and operate multi-cloud foundations across GCP and AWS
• own platform components end-to-end with a strong bar for reliability and security
• improve developer tooling and platform self-service capabilities
• build secure-by-default infrastructure patterns
• drive operational excellence through incident management and automation
• collaborate across Platform and R&D to improve developer productivity
• contribute to Backstage and Portal
• mentor engineers and raise engineering quality

Senior Software Engineer – Platform Infrastructure

Engineering Manager

• Lead multiple engineering squads, supporting strong technical execution and creating clarity across teams.
• Manage and develop Engineering Managers and engineers, helping them grow and do their best work.
• Drive delivery of high-quality, reliable features that improve user engagement and overall app performance.
• Partner closely with Product to shape technical direction, strategy, and roadmaps.
• Balance discovery and delivery, helping teams explore the right solutions while delivering predictably.
• Collaborate with Design and Insights to turn user needs into scalable technical solutions.
• Contribute to broader studio alignment, sharing best practices and improving how we work across teams.
• Support a healthy engineering culture grounded in collaboration, inclusion, and continuous improvement.

Senior Engineering Manager – Core Experience

• utilize in-house and 3rd party LLMs to solve language understanding problems
• employ techniques such as fine-tuning and RAG to improve models
• contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
• help drive optimization, testing, and tooling to improve quality of our content enrichment assets
• collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
• be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems
• perform data analysis to establish baselines and inform product decisions
• stay up-to-date on the latest machine learning algorithms and techniques