AI Catalyst
We are looking for an AI Catalyst to unify AI across Muse and turn it into a scalable execution engine that compounds impact from idea to delivery to iteration. We are becoming an AI-first company where AI is not a feature, but the default way work gets done across product, engineering, and operations.
Key responsibilities
Own the Muse AI-first roadmap end-to-end:
- Horizontal AI engineering ownership — single accountable lead for all AI engineers at Muse.
- Product AI — partner with product and engineering leadership to ship AI features on priority product surfaces. Define the product-AI roadmap and the metrics that prove user value, retention and monetization.
- Operating AI — work with function leaders to launch AI-first workflows in 7–9 pilot non-tech functions.
- AI architecture ownership — model/provider selection, agent design, RAG vs fine-tuning, evals, AI infrastructure decisions for Muse.
- Engineering AI — drive full-chain AI across how Muse builds software: code review, testing, documentation, deploy, incident response, codebase intelligence, release velocity. Define standards, evals and the shared platform so all teams can build AI safely.
- Visible internal driver of AI-first culture — adoption through systems, tooling, evidence and AI Champions.
Required experience
- Orchestrator DNA — taste, agency, judgment, systems thinking, fluency in what machines can vs cannot do, ability to decompose problems into Clear / Complicated / Complex / Chaotic and decide what's agent-led vs human-led.
- 5+ years of AI/ML-adjacent leadership inside a product company.,
- Recent (last 1–2 years) hands-on experience with agentic-coding stacks: Claude Code / Cursor or equivalent, MCP, sub-agents, evals, custom commands, permission rules, per-repo context files.
- Demonstrated full-chain AI thinking — examples of compressing the idea → ship → measure → iterate loop with AI, not just adding AI to one step.
- Operational track record: shipped AI use cases into non-tech business functions with measurable outcomes; built systems where agents do the execution at scale
- Experience leading an engineering horizontal (e.g. led a team/guild of specialist engineers)
- Strong technical opinions on LLM/provider selection, agent design, RAG vs fine-tuning.
- People/culture lens — able to drive AI-first behavior through systems, tooling, evidence and AI Champions.
Benefits
Creativity every day: Make inspiring products for musicians, artists and creators – no day is the same.
Impactful work Influence the future of the music industry and change the lives of millions worldwide.
Work set up: We’ll make sure you’re set up for success with the right work equipment, whether that’s company-provided hardware or an equipment allowance.
Growth and development: Receive specialized training, language lessons, conferences and learning materials.
Team well-being: Support for your mental health and wellbeing, including confidential help during life’s tougher moments.
Muse Group empowers music makers
We create the worldʼs most popular apps for playing, recording and composing music. Through our innovative learning tools, expansive music catalogs and free open-source software, we make it easier for millions — from beginners to experienced musicians — to be creative every day. Our talented team of music lovers collaborates all over the globe, from Limassol to Seoul and Boston to Berlin.
We’re an ambitious company with the drive and culture of a startup — with many more exciting Muse Group developments to come. Hal Leonard, which joined Muse Group in 2023, is the world leader in sheet music publishing and music education. The company has a storied history of providing music learners with the very best methods and arrangements of popular music for over 70 years. Hal Leonard is also a major distributor of popular brands of instruments, gear, and software to the music trade worldwide.
