About this Platform Product Owner role at Amanotes
OBJECTIVES
WHAT YOU WILL DO
Backlog Management: Translate complex requirements from Music Licensing, Game Studios, and AdOps into clear, prioritised product specifications and backlogs , .
ACM Ownership: Own the lifecycle of ACM (Amanotes Content Management), ensuring high metadata reliability and a seamless track/artist ingestion pipeline .
Licensing Digitization: Partner with Music Licensing and Finance to build a centralized, auditable digital licensing workflow within ACM , .
SnapBeat Evolvement: Drive the roadmap of SnapBeat, introducing automated level design features, metadata templates, and real-time multi-game previews , .
PMP Scalability: Oversee PMP (Product Management Portal) features, including AdOps waterfall setups, revenue share reporting, and App Store automation , .
Agile Collaboration: Lead sprint planning and agile backlog grooming with backend, web, and SDK engineering teams to ensure high-quality, timely releases , .
Metrics Monitoring: Define and track key platform performance indicators, connecting platform enhancements directly to business efficiency metrics .
QUALIFICATIONS
Experience: Minimum 3 years of experience as a Product Owner or Product Manager, managing internal portals, CMS, or developer-facing platforms .
Technical Fluency: Solid understanding of software development lifecycles, APIs, database concepts, and SQL queries .
Stakeholder Management: Proven ability to collaborate with and align diverse stakeholders (licensing, operations, creative, and engineering) in an agile environment .
Data-Driven Mindset: Excellent analytical skills, utilizing qualitative and quantitative data to make prioritized, ROI-driven decisions .
Communication: Exceptional communication and interpersonal skills to translate business needs into precise technical requirements .
NICE TO HAVE
Industry: Background in music-tech, mobile gaming, or entertainment industries .
Domain: Familiarity with music licensing models, rights management, or metadata ingestion .
Emerging Tech: Basic understanding of AI/ML generative workflows or automation systems .