
1001 - 5000 employees
Founded 1920
📱 Media
💰 Post-IPO Debt on 2021-10
Media
Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.
🔥 37 minutes ago
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1001 - 5000 employees
Founded 1920
📱 Media
💰 Post-IPO Debt on 2021-10
Media
Warner Music Group is a global music company that forms a collective of music creators and enthusiasts. The company is involved in recorded music, music publishing, and media brand development. Warner Music Group is dedicated to championing the individuality of artists and songwriters, empowering them through its iconic labels and distinctive brands. It hosts a wide variety of artists and is known for its commitment to creative freedom and limitless possibilities in the music industry.
• Partner with the Product Solutions team and business stakeholders across Warner Music Group • Rapidly build and deploy automation and data- and AI-driven solutions • Deliver solutions that turn tasks taking weeks into workflows taking minutes • Work directly with stakeholders across labels and global functions • Develop full-stack solutions, including data pipelines and interoperability • Build backend applications in Python • Develop dashboards and Streamlit applications • Leverage Databricks and Snowflake AI tools, including Genie and Cortex • Use AI tools to design, build, and deploy production solutions • Establish system frameworks, operational playbooks, and technical guidelines • Contribute reusable modular assets to the internal marketplace • Align solutions with the Data and Insights engineering roadmap • Manage stakeholder expectations and keep customers informed
• At least 6 years of software engineering experience • Experience working with customers • Experience with Python • Experience with data pipelining, such as ETL • Experience with Snowflake and/or Databricks; one is sufficient • Ideally, experience with Genie Code or Cortex Code, Notebooks, and Streamlit • Ability to use AI tools to design, build, and deploy production solutions • Ability to work across backend, frontend, data pipelines, and AI tools • Ability to rapidly understand problem spaces and develop solutions without curated requirements • Strong communication skills with non-technical stakeholders from entry to executive level • Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code • Experience establishing system frameworks such as the Agent Development Kit (ADK) • Experience authoring operational playbooks and technical guidelines • Background in modular architectures and reusable internal marketplace assets • Passion for learning and openness to feedback • Music fan motivated by supporting artists’ careers and compensation
• Performance based annual bonus • Equal opportunity and inclusion-focused workplace
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