Spotify

• Build, operate, and evolve scalable Scio data pipelines on Google Cloud Platform that process high-volume financial data with accuracy and reliability. • Develop and enhance Java backend services that power integrations across Spotify's financial ecosystem. • Design and evolve data models and datasets that support accounting, reconciliation, financial reporting, and operational insights. • Build and improve integrations with external financial systems to bring critical financial data into Spotify's financial ecosystem. • Partner closely with Finance, Product, and Engineering teams to translate accounting requirements into reliable, scalable technical solutions. • Improve the scalability, observability, and resilience of financial data pipelines and backend services. • Contribute to engineering best practices through continuous delivery, automated testing, monitoring, and thoughtful code reviews. • Help drive technical decisions that improve the long-term maintainability of Spotify's financial engineering platform.

• Be accountable for teams building Spotify Agentic Experience delivering new and innovative products at the heart of music, podcast and audiobooks users love. • Together with a wide range of collaborators, develop a generative AI tech strategy that keeps Spotify at the forefront of innovation in the field. • Provide servant leadership to several teams working across research, machine learning, engineering management, backend engineers, and data specialists. • Advocate for and increase knowledge of advanced Gen AI capabilities across the company, including influencing the company’s most senior leaders. • Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world. • Directly manage ~5-10 people. • Collaborate with a product lead to define strategy, success metrics and roadmaps. • Influence the technical design and architecture of the Conversation team’s stack. • Influence the Personalization team’s research and roadmap. Collaborate with leaders throughout the company to plan and execute impactful initiatives requiring many teams.

• Be accountable for teams building Spotify Agentic Experience • Develop a generative AI tech strategy • Provide servant leadership to several teams • Advocate for and increase knowledge of advanced Gen AI capabilities • Cultivate a balanced engineering culture and a diverse team • Manage ~5-10 people • Collaborate with product lead to define strategy and success metrics • Influence the technical design and architecture of the Conversation team’s stack

• 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, from coding and code review to deployment, observability, and incident response. • Stay close to the product by using and evaluating BEAT's developer tools, applying AI-augmented workflows, and leading high-impact product initiatives directly where needed. • Lead and develop a team of Product Managers, fostering a collaborative, high-performing team that operates with shared ownership and a consistently high product quality bar. • Partner closely with the Engineering Area Lead to align priorities, make investment decisions, and balance trade-offs across four engineering squads supporting approximately 40 engineers. • Build trusted partnerships with senior engineers and the Backend Advisory Board to ensure the roadmap reflects the evolving needs of Spotify's backend engineering community. • Collaborate across Product Areas, studios, and the broader Platform Mission to deliver shared infrastructure initiatives and drive alignment on strategic investments. • Own delivery against Core Infrastructure's strategic commitments, including AI-native product development lifecycle initiatives and continued adoption of the monorepo experience.

• 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

• 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.

• Identify and evaluate audiobook catalogs from independent authors, hybrid publishers, independent presses, and distribution partners that will resonate with Spotify listeners. • Negotiate audiobook licensing agreements and commercial partnerships that create long-term value for Spotify and our publishing partners. • Build trusted relationships across a diverse portfolio of independent publishers, distributors, and authors, serving as their primary strategic contact. • Develop creative partnership structures that support sustainable growth while meeting the evolving needs of creators and publishing businesses. • Use market insights, performance analytics, and commercial data to inform acquisition strategies and identify new partnership opportunities. • Partner with creators and publishers to optimize catalog performance, improve discoverability, and resolve operational challenges. • Collaborate closely with Product, Editorial, Growth, Operations, Finance, and other cross-functional teams to improve partner experience and support Spotify's audiobook strategy. • Advocate internally for the needs of independent creators and publishers, helping shape future product capabilities and strategic initiatives. • Contribute to initiatives focused on catalog expansion, subscriber value, listening growth, operational excellence, and blended cost per content hour (CPCH) optimization.

• Define and evolve Spotify's global visual merchandising vision • Lead the evolution of creative workflows, utilizing AI • Partner closely with Product, Engineering, Design Platform, and R&D leaders • Champion a visual strategy that balances global consistency with local expression • Establish creative principles and scalable systems to deliver visual experiences • Build partnerships with internal teams and external agencies • Lead and develop a high-performing team of Senior Visual Designers • Own the team's operating budget and prioritize impactful investments • Use insights and performance data to improve visual merchandising effectiveness • Represent Visual Merchandising as a trusted creative partner

• Design, build, and evolve mobile experiences across Spotify’s consumer surfaces. • Contribute to architecture and development of reusable mobile foundations and frameworks. • Support initiatives that improve scalability, performance, reliability, and developer experience. • Collaborate with engineers, product managers, designers, and platform teams to shape product direction. • Participate in code reviews, technical discussions, and drive quality through testing practices. • Engage in experimentation and prototyping for future content and listening experiences. • Explore modern engineering workflows, including AI-assisted development tools. • Balance short-term product needs with long-term platform sustainability. • Contribute to Spotify's engineering culture through collaboration and knowledge sharing.

• Architect, develop, and operate Java services that power real-time ad auction and ranking decisions at massive scale. • Build and maintain the services that conduct scoring, filtering, and selecting winning ads across slot types, formats, and multiple demand sources. • Design and evolve auction mechanics including second-price logic, floor price enforcement, bid shading, and guaranteed delivery prioritization. • Be a technical leader and valued contributor in an autonomous, cross-functional agile team. • Collaborate with other engineers, product owners, and data scientists to identify and solve challenging problems.