The Fast and the Curious
âIn the AI age, the ability to learn faster than the rate of change is the only sustainable advantage.â â Adapted from Eric Ries
We hire people who are both fast and curiousâthose who ship today while learning for tomorrow.
Ship Fast, Ship Often
Section titled âShip Fast, Ship OftenâSpeed is our advantage in the rapidly evolving AI landscape:
- Weekly Releases: We ship updates to Jan every week, not every quarter
- Rapid Experimentation: Test ideas with real users, not focus groups
- Fail Fast, Learn Faster: Kill features that donât work, double down on what does
- User Feedback Loop: From idea to userâs hands in days, not months
What Fast Means at Jan
Section titled âWhat Fast Means at Janâ- Bias for Action: See a problem? Fix it. Donât wait for permission.
- MVP Mindset: Launch at 80% perfect, iterate to 100%
- Quick Decisions: Make reversible decisions quickly, deliberate only on irreversible ones
- Async by Default: Donât let time zones slow us down
Weâve shipped:
- Major features in days that others debate for months
- Model support hours after release, not weeks
- Bug fixes while users are still typing the report
Stay Endlessly Curious
Section titled âStay Endlessly CuriousâIn AI, yesterdayâs breakthrough is todayâs baseline:
Learning is Non-Negotiable
Section titled âLearning is Non-Negotiableâ- New Models Weekly: Understand and integrate the latest AI advances
- Cross-Domain Knowledge: From quantization techniques to UI design
- Community Learning: Our users teach us as much as we teach them
- Open Source Study: Learn from the best codebases in the world
Curiosity in Practice
Section titled âCuriosity in Practiceâ- Why Over What: Donât just implementâunderstand the reasoning
- Question Everything: âWhy do we collect user data?â led to our privacy-first approach
- Learn in Public: Share discoveries with the community
- Teach to Learn: Explaining concepts deepens understanding
The Jan Learning Culture
Section titled âThe Jan Learning CultureâEveryone is a Student
Section titled âEveryone is a Studentâ- No Experts: In a field moving this fast, everyone is learning
- Share Knowledge: Daily discoveries in our Discord channels
- Document Learning: Todayâs experiment is tomorrowâs documentation
- Celebrate Questions: The âstupidâ question often reveals the biggest insight
Everyone is a Teacher
Section titled âEveryone is a Teacherâ- Onboarding: New hires teach us fresh perspectives
- Community Education: Blog posts, tutorials, and demos
- Code as Teaching: Well-commented code educates future contributors
- Failure Stories: Share what didnât work and why
What We Look For
Section titled âWhat We Look ForâSigns of Speed
Section titled âSigns of Speedâ- GitHub Velocity: Frequent commits, quick iterations
- Project Completion: Finished projects, not just started ones
- Response Time: Quick to engage, quick to deliver
- Adaptation Speed: How fast do you integrate feedback?
Signs of Curiosity
Section titled âSigns of Curiosityâ- Side Projects: What do you build for fun?
- Learning Artifacts: Blogs, notes, or projects showing learning
- Question Quality: Do you ask insightful questions?
- Knowledge Breadth: Interests beyond your specialty
Why This Matters for Jan
Section titled âWhy This Matters for JanâAI Moves Too Fast for Slow
Section titled âAI Moves Too Fast for Slowâ- Models improve monthly
- User expectations evolve weekly
- Competition ships daily
- Standards change quarterly
If weâre not fast and curious, weâre obsolete.
Local-First Demands Both
Section titled âLocal-First Demands Bothâ- Fast: Users expect immediate responses, not cloud latency
- Curious: Supporting every model requires understanding each one
- Fast: Privacy bugs need instant fixes
- Curious: New quantization methods need quick adoption
The Compound Effect
Section titled âThe Compound EffectâFast + Curious creates exponential growth:
Ship Fast â User Feedback â Learn âShip Smarter â More Users â More Learning âShip Even Faster â Compound Growth
Each cycle makes us:
- Faster at shipping
- Better at learning
- More valuable to users
- More attractive to talent
Join Us IfâŚ
Section titled âJoin Us IfâŚâ- Youâve shipped something this week (not this year)
- Youâve learned something new today (not last month)
- You see a Jan issue and think âI could fix thatâ
- You read our codebase and think âI could improve thatâ
- You use Jan and think âIt could also do thisâ
The Promise
Section titled âThe PromiseâIf you join Jan as someone fast and curious, in a year youâll be:
- Faster: Shipping features you canât imagine today
- Smarter: Understanding AI at a level that surprises you
- Connected: Part of a global community of builders
- Impactful: Your code running on millions of devices
The Bottom Line
Section titled âThe Bottom LineâWe donât hire for what you know today. We hire for how fast youâll know what matters tomorrow.
In the race to build open superintelligence, the fast and curious donât just keep upâthey set the pace.
âAt Jan, we measure progress in iterations per week, not years of experience.â