- Lead foundational measurement and insights work for generative music experiences.
- Design and run large-scale analyses and evaluations of generative music systems, from prompt interpretation to model output quality.
- Partner with Engineers and AI Researchers to integrate evaluation signals into model development loops, debugging workflows, and product iteration.
- Identify behavioral and market dynamics that shape consumer demand and creator participation, and translate them into strategic recommendations.
- Build scalable metrics and decision systems for evaluating AI music, including credibility, user delight, safety, creator alignment, and ecosystem trust.
- Bring model, user behavior, and ecosystem signals together into narratives that shape product strategy and long-term priorities.
- Create datasets, dashboards, and long-term measurement systems for understanding product health and impact.
- Work with Product, Design, Research, Legal, Trust & Safety, Marketing, Policy, and Licensing teams.
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