Warner Music Group
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.
Forward Deployed Engineer, Data & AI
🕒 August 10
Where this job comes from
Posted on Warner Music Group's careers page, not through a job board
First seen by Remote Rocketship August 10
Still open on Warner Music Group's site. Checked 5 hours ago.
Warner Music Group
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.
📋 Description
• Partner with Product Solutions and business stakeholders across Warner Music Group to rapidly build and deploy automation and data/AI solutions • Work directly with stakeholders across labels and global functions to deliver rapid solutions • Turn manual tasks that take weeks into workflows that take minutes • Develop full-stack solutions including data pipelining and interop, Python backend development, dashboards, and Streamlit applications • Leverage Databricks and Snowflake AI tools, including Genie and Cortex, to build solutions rapidly • Deliver production AI solutions for non-technical stakeholders • Rapidly understand ambiguous problem spaces and develop impactful solutions without curated requirements • Communicate with stakeholders from entry level through executive level, manage expectations, and provide updates • Explore new technologies and flex across varied problems and domains • Contribute to standards and use existing tools and systems aligned with the Data and Insights engineering roadmap
🎯 Requirements
• At least 3 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, exposure to Genie Code or Cortex Code, Notebooks, and Streamlit • Ability to use AI tools to design, build, and deploy production solutions • Strong product instincts and ability to understand ambiguous problem spaces rapidly • Ability to communicate in non-technical language with stakeholders from entry level to executive level • Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code • Curiosity and adaptability across varied technologies, problems, and domains • Music fan motivated by supporting artists’ careers and compensation
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