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Build and operate scalable backend infrastructure for Spotify’s personalization and recommendation systems. Develop services supporting content and user representations, candidate generation, retrieval, ranking, and filtering. Improve system reliability, observability, performance, and maintainability while collaborating across engineering teams. Participate in technical design and architectural decisions for high-volume, distributed workloads.

Develop product analytics and experimentation for Spotify’s Discovery Mode promotion tools. Build metrics, instrumentation, dashboards, and actionable insights to improve customer engagement and business outcomes. Collaborate with product, engineering, research, design, marketing, and other data science teams to identify opportunities, test hypotheses, and influence product decisions through clear data storytelling.

Supports Spotify’s ads and podcast monetization policy enforcement operations. Responsibilities include guiding global teams and vendors, resolving escalations, improving workflows and tooling, supporting policy and product launches, delivering training and quality initiatives, and analyzing operational data to identify trends. The role collaborates with Policy, Product, Legal, Communications, Sales, and advertisers, while occasionally providing weekend or holiday on-call coverage and traveling as needed.

Leads global markets strategy for a consumer technology business, partnering with regional market leaders to develop strategies, three-year visions, prioritization, budgets, and growth plans. Performs financial analysis and modeling of regional dynamics, competitors, and peers. Drives cross-regional strategic projects, informs product go-to-market decisions, and aligns teams around company priorities. Requires strong strategic thinking, project management, quantitative analysis, business judgment, and global cross-functional collaboration.

Develop and evaluate Spotify subscription propositions across high-growth markets. Build business cases covering opportunity sizing, unit economics, margins, licensing, currency, and cannibalization. Partner with Finance, Product, Legal, Strategy, and market teams to turn ambiguous opportunities into executive-ready recommendations and inform the proposition roadmap.

Coordinate revenue accounting for Spotify’s global advertising business, including month-end close, revenue and deferred revenue entries, reconciliations, financial reporting, IFRS and SOX compliance, audits, process improvements, and ERP or system implementations. Partner with Engineering, Sales, Legal, FP&A, Tax, and other teams to develop scalable accounting processes for new revenue streams and advertising products.

Develop and execute state and local government affairs strategies for Spotify, focusing on New York and other priority jurisdictions. The role assesses technology policy issues, builds relationships with policymakers and external organizations, develops advocacy positions, and represents Spotify with government and industry stakeholders. It collaborates cross-functionally with Legal, Communications, Product, Compliance, Social Impact, and Trust & Safety teams to translate policy developments into business strategies.

Lead the technical strategy and hands-on development of scalable machine learning systems for Spotify’s Discovery Mode and royalty programs. Design, evaluate, deploy, and optimize production ML solutions that help artists reach fans. Provide architectural leadership, collaborate across product, engineering, research, design, and data science, prototype new approaches, improve system reliability, and mentor engineers.

Define and own the quality bar for Spotify's AI voice models. Design repeatable evaluation rubrics and run qualitative and MOS-style campaigns. Benchmark against competitors, synthesize findings, recommend improvements, and partner with voice, ML, product, and vendor teams to influence research and production priorities across languages and use cases.

Lead analytics for the Discovery Mode ML squad: design experiments, build evaluation frameworks, analyze model performance, create dashboards tracking model health and customer metrics, and translate findings into actionable product and engineering improvements.