AI Automation & Growth Analyst

Warner/Chappell Music•Los Angeles, CA

5d•$70,000 - $80,000•Onsite

About The Position

At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses: ● Curiosity: We do our best work when we're immersing ourselves in culture and breaking through barriers. Curiosity is the driving force behind creativity and ingenuity. It fuels innovation, and innovation is the key to our future. ● Collaboration: Making music and bringing it to the world is all about the power of originality amplified by teamwork. A great idea, like a great song, travels globally. We ignite passions and build connections across our diverse community of artists, songwriters, partners, and fans. ● Commitment: We pursue excellence for our team and our talent. Everything in music starts with a leap into the unknown, and we're committed to keeping the faith, acting with integrity, and delivering on our promises. WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences. Consider a career at WMG and get the best of both worlds - an innovative global music company that retains the creative spirit of a nimble independent. At Warner Chappell Music (WCM) -the global music publishing arm of Warner Music Group (WMG) - we shape the culture of songwriting and champion songs that resonate for generations by creating transformational opportunities for songwriters everywhere. Our people and culture are at the epicenter of our company, and we are looking for team members who share our service-oriented mindset and have a passion for looking after our songwriters. The AI Automation & Growth Analyst is the technical engine behind our team's ability to scale. You will own the end-to-end lifecycle of automation solutions—from identifying bottlenecks in manual workflows to designing and deploying robust, code-based solutions. In this role, you will move beyond simple prompting; you will use Python or JavaScript, SQL, and LLM APIs to build intelligent pipelines that streamline complex workflows. Your primary objective is to enhance data-driven decision-making and operational efficiency by treating automation as a software engineering discipline.

Requirements

Strong Scripting Skills (Python or JavaScript): You have strong hands-on experience using Python or JavaScript/TypeScript for data manipulation, API interaction, and process automation. You prefer writing a script to doing a task manually twice.
Data & SQL Fluency: You are comfortable writing SQL queries to pull, clean, and structure data from relational databases. You understand how to prepare data for AI context windows.
Version Control (Git): You understand the importance of source control. You are familiar with branching, merging, and pull requests to maintain a clean codebase in a team environment.
LLM & API Experience: You have built applications or scripts that utilize LLM APIs (OpenAI, Anthropic, Gemini). You understand concepts like context limits, temperature, and prompt engineering within code.
Grounded in Engineering Principles: You build for the long term. You strive to write clean, scalable, and reliable code that can be maintained and built upon by the team.
Obsessive Drive for AI: You go beyond coursework. You are constantly exploring the latest technologies, building personal projects, and experimenting with agentic workflows.
Product-Minded & Pragmatic: You can independently translate a business need into a technical solution. You have a "get it done" mentality and a knack for finding the most direct path to a functional product.
Highly Autonomous & Collaborative: You take ownership of your code, but you thrive in a tight-knit environment where you share ideas, challenge assumptions, and support code reviews.
Detail-oriented: Ability to pay close attention to detail and ensure accuracy in tasks.
Strong analytical aptitude: Ability to break down problems and contribute to solutions.
Good communication skills: Ability to clearly articulate ideas and contribute to team discussions.
Team player: Ability to work effectively within a collaborative team environment.
Ability to design high-quality decks and visual materials using presentation platforms, such as Canva or Google Slides.
A proactive approach to integrating Generative AI (e.g., Gemini) into everyday work to support and streamline daily tasks and overall productivity.

Nice To Haves

Experience Building Full-Stack or Agentic Applications: You have hands-on experience building applications with AI, demonstrated through internships or a strong portfolio of personal projects.
Familiarity with AI-Native Tools: You have experimented with or are eager to master building with AI agents and AI-assisted coding tools.

Responsibilities

Engineer Robust Automations: Design and script automated workflows using Python or JavaScript to replace manual, data-intensive tasks across our departments.
Build AI-Integrated Data Pipelines: Write complex SQL queries to extract and transform data, then integrate that data with Large Language Models (LLMs) to generate automated outputs.
Develop Intelligent Applications : Engage in the full development lifecycle to build internal tools and agents using custom logic and direct API integrations.
Maintain Engineering Standards: Utilize Git for version control, conducting code reviews, and ensuring all automation scripts are documented, tested, and reliable.
Drive Rapid Prototyping: Utilize AI-assisted coding tools (e.g., Cursor, Windsurf) to accelerate the creation of business-focused applications while maintaining clean code architecture.
Analyze & Optimize Processes: Create process maps to deconstruct current business operations, identifying specific nodes where AI agents or scripts can improve speed and accuracy.
Full-Stack Contribution: Contribute to backend logic (API integrations, database management) and simple user-facing interfaces to make your tools accessible to non-technical colleagues.
Develop Deep Expertise in Applied AI: Grow into a subject-matter expert by researching, experimenting with, and applying emerging AI technologies to practical business use cases.
Collaborate to Drive Innovation: Work in a tight-knit team and partner with business stakeholders to champion new ideas, ensure smooth project execution, and encourage the adoption of new technologies.
Learn and grow: Actively participate in training and development opportunities to enhance skills in AI, automation technologies, and process improvement methodologies.