Careers
TL;DR
We're building the source of truth for music rights valuation. Creating a team who want to solve hard problems with modern tools and ship fast.
Chapter Two helps rightsholders and investors understand, analyze, and transact music rights. We're a small team in Stockholm building something that actually matters in the music industry.
Stockholm (main office), but we're flexible. Apply even if you're not here.
Royalty Analyst
TL;DR
Music domain expert who speaks both royalty data and engineering. You'll bridge the gap between complex music rights data and the systems we build.
What we're looking for
- Deep understanding of music royalties and rights
- Experience working with royalty statements and data
- Ability to translate domain knowledge into product requirements
- Comfort working directly with engineers
Senior Fullstack Engineer
TL;DR
Own systems end-to-end, shape technical direction, and build features that matter.
What we're looking for
- 7+ years building and shipping full-stack products
- Strong architectural thinking and familiarity with distributed systems
- Ability to own projects from idea → architecture → shipping → iteration
- Comfort operating in high-ambiguity, high-agency environments
UI engineer
TL;DR
AI-native developer who ships fast UI. Build interfaces that make complex music data feel simple. Use whatever tool available that does the job - v0, Cursor, Lovable, MCP, or whatever works.
What we're looking for
- Strong foundation in React and TypeScript
- AI-native mindset and curiosity
- Passion for building great user experiences
- Eagerness to learn and ship fast
Dev
TL;DR
Don't see a perfect fit? We're always looking for talented developers who want to change the music space. Send us something you've built.
What we're looking for
- Passion for music and technology
- Drive to build something meaningful
- Willingness to learn and adapt
How we work
- High ownership, high velocity, low-ego collaboration
- We care deeply, move fast, and build things that outlive us
- Autonomy and flexibility
- Experimentation and continuous learning
- Disagree and commit
Our tech stack
We choose tools that empower both humans and AI. Always evolving with what works best.
- AWS: Cloud infrastructure
- TypeScript: tRPC for type-safe API layer and Next.js for web
- Polars & PySpark: High-performance data aggregation
- Step Functions: Workflow orchestration
- PyTorch: ML architecture, training, and inference
- AI: Combination of Gemini and OpenAI models orchestrated by Mastra Agents and LangChain
Research shows that many candidates, especially women, hesitate to apply unless they meet all listed qualifications. We strongly encourage you to apply even if you don't check every box. Your unique perspective and skills could be exactly what we need.