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Lead strategy and execution for Habit Formation across Spotify: define vision and roadmap, partner with engineering/ML/design/research, translate AI/LLM and recommender advances into consumer experiences, use experimentation and behavioral analysis to drive product decisions, and align senior leaders while driving cross-team execution to build sustainable listening habits.

Design, build, and productionize personalized recommendation models and LLM-based experiences for Spotify's Home feed. Own model training, fine-tuning, evaluation, A/B testing, inference optimization, and ML platform/data pipeline improvements. Drive technical direction, mentor engineers, and collaborate with cross-functional partners to deliver scalable, cost-efficient personalization at global scale.

Oversee revenue forecasting and intelligence functions, lead a team, enhance revenue processes, and leverage data analytics for strategic decision-making.

Lead and scale strategic distribution partnerships for Spotify audiobooks and media, negotiating contracts, operationalizing integrations across product, marketing, and engineering, sourcing new opportunities, coordinating cross-functional teams, and using data/AI to inform partner strategy and execution.

Lead and grow a team of ML, backend, and data engineers to design, deploy, and operate production-scale personalization and recommendation systems. Set technical direction, partner with Product and Data Science, mentor engineers, prioritize delivery, and champion adoption of modern ML techniques including large language models and generative AI to improve user personalization.

The role involves leading creative strategy for performance and lifecycle marketing, optimizing campaigns across social platforms, and analyzing metrics to drive subscriber growth.

The role involves designing and implementing production-grade machine learning systems for conversational AI experiences, focusing on user engagement and context management.

Build and maintain Ads API and primary data store, focusing on ingestion, transformation, storage, availability, integrity, and performance at scale. Collaborate across teams to provide data solutions, improve operational excellence, and promote engineering best practices and observability.

Lead the marketing strategy for Spotify's B2B SaaS business, focusing on growth, product marketing, and brand positioning. Collaborate with engineering and sales while managing a high-performing marketing team.

Design and implement large-scale ML systems to optimize ad performance and supply personalization. Conduct data analysis, online experimentation, and causal inference. Build data pipelines and collaborate with engineers, data scientists, and product managers to drive product decisions and deliver scalable ad-serving solutions.