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Warner Music

Global music label, publishing, artist services

Forward Deployed Engineer - Data & AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeCA$90k - CA$135k /yrRemote

About the Job

Requirements

  • At least 3 years of software engineering experience.
  • Exposure to customers.
  • Experience with Python and data pipelining, such as extract, transform, and load (ETL), and experience with either Snowflake or Databricks.
  • Ability to work across backend and frontend development, data pipelines, and AI tools, including Python and React.
  • Ability to design, build, and deploy production solutions using AI tools.
  • Ability to rapidly understand a problem and develop a solution without curated requirements or much context.
  • Ability to communicate in non-technical language with stakeholders from entry level to executive level, manage expectations, and keep customers updated.
  • Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code.
  • Ability to contribute to standards and use existing tools and systems to align solutions with the Data and Insights engineering roadmap.
  • Ability to use AI effectively to deliver solutions while maintaining engineering quality.
  • Comfort working across varied problem domains and multiple stakeholder problems.

Responsibilities

  • Partner with Product Solutions and business stakeholders across Warner Music Group to build and deploy automation and solutions using data and AI.
  • Work directly with stakeholders across labels and global functions to deliver rapid solutions using data and AI.
  • Deliver solutions that reduce tasks taking weeks to workflows taking minutes.
  • Engineer full-stack solutions, including data pipelining and interoperability, backend development in Python, dashboards, and Streamlit applications.
  • Use Databricks and Snowflake AI tools, including Genie and Cortex, to build solutions.
  • Design, build, and deploy AI solutions that accelerate the work of non-technical stakeholders.
  • Understand stakeholder problem spaces and deliver solutions that have measurable impact.
  • Keep stakeholders aligned and informed while managing expectations.
  • Contribute to standards and use existing tools and systems to keep Forward Deployed Engineering solutions aligned with the Data and Insights engineering roadmap.

Desired Qualifications

  • Exposure to customers is described as ideal.
  • Experience with Python, data pipelining such as ETL, and either Snowflake or Databricks is identified as ideal candidate experience.
  • Prior use of Genie Code or Cortex Code, Notebooks, and Streamlit to deliver solutions is preferred.

About the Company

Warner Music

Global music label, publishing, artist services

Warner Music Group operates in three areas—recorded music, music publishing, and artist services—signing and developing artists, producing and distributing recordings, and managing publishing rights. It earns revenue from music sales, streaming, licensing deals, and live performances. Its global scale, iconic labels, and diverse brands help it promote music worldwide and support artists, songwriters, and fans. Its goal is long-term creative and commercial success while staying adaptable and upholding ethical and environmental standards.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1958

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