• Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership • Develop and own success metrics for generative music features and systems • Design and analyze A/B tests and causal studies to evaluate product and model impact • Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists • Build scalable dashboards to monitor feature health and ecosystem impact • Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality • Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements • Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows • Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions