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About the Role

The Forward Deployed Engineering Team within the Data and Insights Organization is a specialized capability focused on solving diverse business problems. This team partners with Product Solutions and key business stakeholders to rapidly build and deploy automation and solutions using data and AI. The role involves working directly with customers on various problems, leveraging world-class data platforms to create solutions, and requires strong software engineering and data fundamentals.

Responsibilities

Deliver impactful solutions for diverse stakeholders by stepping into different problem spaces and working with diverse people to turn work that takes weeks into minutes.
Perform full-stack engineering, flexing across backend, frontend, data pipelines, AI tools, Python, and React, using AI effectively to deliver solutions while maintaining engineering excellence.
Deliver AI solutions by designing, building, and deploying production solutions to accelerate non-technical stakeholders.
Demonstrate product sense and impact by rapidly understanding and developing solutions without curated requirements, delivering impact with little context.
Exhibit empathy and customer communication skills, communicating in non-technical language to stakeholders from entry to executive level, managing expectations, and keeping customers updated.
Engineer AI solutions, leveraging tools like Gemini, Cortex Code, and Genie Code to transform solution delivery from weeks into hours.
Be curious and adaptable, exploring new technologies and flexing across various problems and domains daily, comfortable with dozens of different problems for different stakeholders at any given time.
Stay aligned by contributing to standards and leveraging existing tools and systems to ensure FDE solutions align with the Data and Insights engineering roadmap.

Requirements

At least 3 years of software engineering experience.
Exposure to customers.
Experience with Python.
Experience with data pipelining (e.g., ETL).
Experience with either Snowflake and/or Databricks.
Familiarity with AI tools such as Gemini, Cortex Code, and Genie Code.
Ability to wield AI tools to turn solution delivery from weeks into hours.
Experience with Genie Code or Cortex Code, Notebooks, and Streamlit to deliver solutions.
Imaginative and able to think of ways to rapidly solve problems.
Strong focus on the customer with a bias to action to deliver value quickly.
Deeply motivated to fix pain points.
Ability to take a manual workflow and use AI to make it seamless.
Passion for learning and yearning for feedback, valuing the opportunity for daily growth.
Motivated by the fact that work directly impacts an artist’s ability to grow their career and get paid.

Skills

Python
React
Data pipelining
ETL
Snowflake
Databricks
AI tools
Gemini
Cortex Code
Genie Code
Notebooks
Streamlit
Full-stack engineering
Backend development
Frontend development
Customer communication
Product sense

Location

Remote

Work Type

Full-time

Experience Level

3+ years of software engineering experience

About the Company

Warner Music Group is a global collective of music makers and music lovers, tech innovators, inspired entrepreneurs, game-changing creatives, and passionate team members.
WMG turns dreams into stardom and audiences into fans.
WMG is home to a wide range of artists, musicians, and songwriters.
WMG champions emerging artists and global superstars alike.
Warner Chappell Music is a renowned publishing company representing genre-spanning songwriters and producers.
WMG is also home to ADA, which supports the independent community, as well as artist services division WMX.
WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.
WMG is an innovative global music company that retains the creative spirit of a nimble independent.

Equal Opportunity

WMG is committed to inclusion and diversity in all aspects of our business.
We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.