Forward Deployed Engineer, Data & AI

1 month, 2 weeks ago
Full-time
Mid Level
Software Development
Warner Music Group

Warner Music Group

Warner Music Group (WMG) is a global music entertainment company that encompasses recorded music, music publishing, and artist services. With a rich history spanning over 200 years, WMG is home to iconic record labels and a leading music publisher, rep...

Media
5K-10K
Founded 1929

Description

  • Partner with stakeholders across labels and global functions to identify problems and deliver impactful solutions.
  • Design, build, and deploy full-stack solutions spanning Python backends, React interfaces, data pipelines, dashboards, and Streamlit applications.
  • Use AI tools to accelerate solution delivery and automate manual workflows.
  • Translate loosely defined business needs into practical products with limited context or curated requirements.
  • Communicate technical concepts in accessible language, manage expectations, and provide stakeholder updates.
  • Work across diverse problem spaces and adapt to changing technologies and business domains.
  • Use tools and systems aligned with the Data and Insights engineering roadmap and contribute to engineering standards.
  • Collaborate with the Product Solutions team and business stakeholders to deploy production-ready automation.

Requirements

  • At least 3 years of software engineering experience.
  • Experience with Python and data pipelining, such as ETL.
  • Experience with Snowflake or Databricks; familiarity with both is beneficial.
  • Experience with customer or stakeholder-facing engineering work.
  • Full-stack development experience, including backend, frontend, data pipelines, and AI tools.
  • Familiarity with Genie Code, Cortex Code, Notebooks, and Streamlit is preferred.
  • Strong product sense and ability to develop solutions from ambiguous requirements.
  • Excellent communication skills, empathy, adaptability, and a customer-focused bias toward action.
  • Passion for learning, feedback, and continuous growth.
  • Interest in music and motivation to support artists’ careers and earnings.

Benefits

  • Inclusive and diverse equal-opportunity workplace.
  • Opportunity to work with global music labels, artists, songwriters, and business teams.
  • Exposure to world-class data platforms and AI tools, including Databricks and Snowflake.
  • Work in a specialized engineering team with varied customer and business problems.

Interested in this position?

Apply directly on the company website

Apply Now

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