Unlock potential by leading product strategies for data infrastructure, ensuring seamless collaboration across engineering, design, and data teams to enhance workflows, drive innovation, and improve data interactions at scale.

Optimize the evaluation of AI voice quality by defining standards and methodologies for assessing performance, ensuring alignment with product needs, and driving continual improvements in user experience across diverse markets and languages.

Lead the charge in advancing analytics for a key ML initiative in the music space. Collaborate with experts to enhance model performance and drive impactful recommendations for artists, ensuring success through rigorous evaluation and experimentation.

Shape the future of music analytics by leading data science initiatives. Collaborate with ML engineers to evaluate models that drive Discovery Mode, enhancing outcomes for artists and optimizing campaign performance.

Elevate user experiences by designing ML solutions that enhance music discovery. Collaborate with cross-functional teams to build robust systems that personalize listening and engage audiences globally through innovative technology.