Jan is an open-source AI platform built by a distributed team focused on making AI accessible, private, and locally-run.
Jan is currently ~8 people working across different areas to build the open superintelligence platform.
Jan Desktop & Platform
Building the core Jan application and platform infrastructure.
Engineering
- Core Platform: Building Jan Desktop and core infrastructure
- Dev Relations: Ramon - Community engagement and developer experience
- QA & Release: Ensuring quality and stability across releases
Model Team
Focused on making the best models available to Jan users.
| Focus Area | Team Members | Description |
|---|---|---|
| Model Hub | Thien | Leading model quantization and evaluation for Jan’s Local Model Hub - ensuring Jan supports the latest and best open source models |
| Jan Models | Alan, Alex, Bách, Warren | Developing Jan’s flagship model to be the default in Jan Desktop |
| Advanced Features | Thinh, Norapat | Working with Ramon to spec and implement: • Jan Attachments • Jan DeepResearch • Jan Voice Mode |
| Engineering | Akarshan, Louis, Dinh | Building the core of Jan |
| Design | Faisal | Making Jan look gooood, function well, and be accessible to everyone |
| Product & DevRel | Yuuki and Ramon | Thinking about the future of Jan and how to best communicate it to users |
| Management | Yuuki | Keeping people in check by threatening everyone with corporate speak |
| Marketing | Emre | Spreading the word about Jan and its capabilities |
| Infra | Minh and Hien | They make things run smoothly |
Infrastructure & Operations
Technical Infrastructure
- Jan Cloud: Cloud infrastructure for optional services
- Hardware: Optimizing for local hardware performance
- CI/CD: Continuous integration and deployment
Business Operations
| Team | Focus | Members |
|---|---|---|
| Marketing | Brand, growth, and community | Emre |
| Product | Product strategy and roadmap | Ramon |
| Finance & HR | Operations and people | Nicole, finance team |
Working Groups
Cross-functional teams that form around specific initiatives:
- Model Evaluation: Jan Exam benchmarking and quality assurance
- Community Features: Building based on user feedback
- Open Standards: MCP and other protocol development
Our Approach
- Open Development: Build in public with community input
- Quality First: Jan Exam as our north star for model quality
- User Focused: Every role ultimately serves our users’ need for private, local AI
- Flexible Structure: Teams adapt based on current priorities and user needs
Join Us
Interested in joining our mission to build open superintelligence? Check out our careers page or contribute to our open source projects.