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AI Catalyst

WorldwideCyprusRemoteSenior

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

Muse Group - develops international products for musicians with 400+ million users 🔥 among products - Ultimate Guitar, Musescore, Audacy, etc.

See all 13 jobs at Muse Group

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.