Product Manager
SONY CORPORATION OF AMERICA
London, UK
6d ago

The Orchard is a leading music distribution company distributing music from artists such as Ozuna, Jorja Smith, Run The Jewels and Kelsea Ballerini.

With cutting edge operations and an unparalleled global team, The Orchard partners with companies of all sizes to make their music available across hundreds of digital outlets and physical retailers around the world.

At The Orchard, the focus is to provide a comfortable, social and engaging environment to encourage productivity and creativity.

to join our talented product, design & engineering team. Please send all resumes and cover letters to ukjobs theorchard.

com Drive product vision, roadmap and goals for our core data & analytics products. Develop a clear product roadmap based on market and user research with the appropriate business cases and data to back it up.

Act as the product owner for an agile development team focusing on executing the roadmap from conceptualization to design and development, launch, maintenance and maturity.

Regularly meet with customers to gather feedback and validate future product ideas while strongly representing The Orchard.

Constantly improve customer satisfaction, usability, reliability and operational efficiency by continually monitoring KPIs and finding opportunities to increase engagement and reduce friction across your product.

Present roadmaps, decisions and updates to business and technology stakeholders. 2 to 3 years in a Product role working end-

to-end from data ingestion to consumer-facing products. Able to influence cross-functional teams and create a consensus between stakeholders, product managers, designers and engineers within an agile environment Strong organizational and analytical skills paired with the ability to drive complex projects.

Proficient in SQL and ability to work in other analytics tools to validate ideas Strong verbal, written and visual communication skills.

Bonus Points : Experience working within the digital music industry Proficiency in R or other statistical programming languages Academic background in math, statistics or computer science

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