Senior Product Manager, Content Understanding

Sirius XM • New York, NY

12d • $170,000 - $175,000 • Hybrid

About The Position

Drive the conceptualization and end-to-end development of machine learning (ML)/data products that enable internal teams to build personalized listener experiences that are safe, engaging, and discoverable while optimizing content operations and rights management workflows. Collaborate with machine learning engineers, data scientists, and domain experts to set product vision, strategy, and roadmap for audio content analysis capabilities. Lead product discovery to identify opportunities across SiriusXM’s content supply chain, from ingestion and cataloging to recommendation and rights management. Partner with content programming teams, engineering organizations, and external content partners to understand workflow needs and technical constraints. Develop products that enable efficient content processing, metadata generation, and catalog management at scale. Communicate complex technical concepts and experimental results clearly to both technical and non-technical stakeholders. Leverage build-measure-learn cycles, quantitative metrics and qualitative feedback to continually improve products.

Requirements

• Master’s degree in Business Analytics, Computer Science or Computer Engineering, plus 2 years of experience in the position offered or another product manager role or Bachelor’s degree in Business Analytics, Computer Science or Computer Engineering, plus 5 years of post-Bachelor’s progressive experience in the position offered or another product manager role.
• All of the required experience must have included: managing machine learning (ML)/data product development cycle from concept to launch including goal setting, data collection/labeling, model development, deployment, measurement and iteration; collaborating with data scientists and ML engineers on complex technical requirements and translating them into actionable product features; working with large language models and embedding-based systems to build ML/data products that are consumed by internal teams or integrated into consumer-facing experiences; coordinating between creative/content teams and technical organizations to balance workflow needs with technical constraints; implementing content supply chain operations including delivery, ingestion, processing and catalog management workflows; and working with audio content technologies such as audio fingerprinting, content retrieval systems or rights management infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level