Musixmatch
music metadata
ProductManager,AI&ContentOperations
“Product Manager, AI & Content Operations at Musixmatch. Skills: AI, Product Management, Music Metadata. Own product roadmap for catalog tools. Prioritize features based on impact and feasibility”
What You'll Achieve.
Build smarter, faster, and more scalable catalog infrastructure; Shape how the world's music metadata is organized, enriched, and delivered; Ship product improvements in fast cycles; Use data to drive decisions and communicate progress to stakeholders
Industry & Context.
analytical and structured thinking skills: you break down complex problems into actionable steps
What They're Looking For.
Must Have
1-3 years of experience in product management, product operations, or a closely related role, A genuine AI-first mindset: you regularly use AI tools (ChatGPT, Claude, Cursor, Replit and other vibe coding tools) in your daily work and think instinctively about how to apply them to product problems, Ability to write clear product specs, user stories, and acceptance criteria, communicating requirements to both technical and non-technical stakeholders, Comfort working with data: you can query basic metrics, interpret dashboards, and use data to justify product decisions, analytical and structured thinking skills: you break down complex problems into actionable steps, Good communication skills in English (written and spoken)
Nice to Have
Interest in music, music technology, or the music industry is a plus, Experience with metadata, content ops, or catalog systems (music, publishing, e-commerce, or similar domains), Familiarity with prompt engineering, RAG pipelines, or LLM-based product features, Exposure to tools like Jira, Coda, Mixpanel similar PM/analytics tooling, Basic SQL or Python skills for data exploration, Experience working in or with music rightsholders, DSPs, or publishing companies, Knowledge of music rights structures (mechanical, sync, performance) and how they relate to metadata
What You'll Do.
Own product roadmap for catalog tools
Prioritize features based on impact and feasibility
Design AI-assisted workflows
and validate music metadata
Identify bottlenecks in catalog workflows
Experiment with and integrate LLM-based tools
Monitor key catalog quality and operational KPIs
Contribute to defining best practices for AI-first product development
How You'll Work.
Team & Collaboration
Collaborate closely with engineering, data science, and content operations; Work with partner-facing teams to understand data quality impact
Communication Scope
Good communication skills in English (written and spoken)
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