AI Automation & Growth Analyst at Warner Music… · Los…

Summary: Warner Music Group is a global music publishing company that champions songwriters and shapes the culture of songwriting. They are seeking an AI Automation & Growth Analyst who will own the lifecycle of automation solutions, design and deploy robust code-based solutions, and enhance data-driven decision-making within the organization. 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 Required Qualifications: - 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 - 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 - 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 Required Skills: Python, JavaScript, SQL, LLM APIs Important Skills: Git, AI Integration, Full-Stack Development Nice-to-Have Skills: analytical aptitude, Detail-oriented, communication skills, Team player