140 lines
4.7 KiB
Plaintext
140 lines
4.7 KiB
Plaintext
---
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title: "The Fast and the Curious"
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description: "We hire people who move quickly and never stop learning"
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---
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> "In the AI age, the ability to learn faster than the rate of change is the only sustainable advantage." — Adapted from Eric Ries
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We hire people who are both fast and curious—those who ship today while learning for tomorrow.
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## Ship Fast, Ship Often
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Speed is our advantage in the rapidly evolving AI landscape:
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- **Weekly Releases**: We ship updates to Jan every week, not every quarter
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- **Rapid Experimentation**: Test ideas with real users, not focus groups
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- **Fail Fast, Learn Faster**: Kill features that don't work, double down on what does
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- **User Feedback Loop**: From idea to user's hands in days, not months
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### What Fast Means at Jan
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- **Bias for Action**: See a problem? Fix it. Don't wait for permission.
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- **MVP Mindset**: Launch at 80% perfect, iterate to 100%
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- **Quick Decisions**: Make reversible decisions quickly, deliberate only on irreversible ones
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- **Async by Default**: Don't let time zones slow us down
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We've shipped:
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- Major features in days that others debate for months
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- Model support hours after release, not weeks
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- Bug fixes while users are still typing the report
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## Stay Endlessly Curious
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In AI, yesterday's breakthrough is today's baseline:
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### Learning is Non-Negotiable
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- **New Models Weekly**: Understand and integrate the latest AI advances
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- **Cross-Domain Knowledge**: From quantization techniques to UI design
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- **Community Learning**: Our users teach us as much as we teach them
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- **Open Source Study**: Learn from the best codebases in the world
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### Curiosity in Practice
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- **Why Over What**: Don't just implement—understand the reasoning
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- **Question Everything**: "Why do we collect user data?" led to our privacy-first approach
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- **Learn in Public**: Share discoveries with the community
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- **Teach to Learn**: Explaining concepts deepens understanding
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## The Jan Learning Culture
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### Everyone is a Student
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- **No Experts**: In a field moving this fast, everyone is learning
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- **Share Knowledge**: Daily discoveries in our Discord channels
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- **Document Learning**: Today's experiment is tomorrow's documentation
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- **Celebrate Questions**: The "stupid" question often reveals the biggest insight
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### Everyone is a Teacher
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- **Onboarding**: New hires teach us fresh perspectives
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- **Community Education**: Blog posts, tutorials, and demos
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- **Code as Teaching**: Well-commented code educates future contributors
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- **Failure Stories**: Share what didn't work and why
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## What We Look For
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### Signs of Speed
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- **GitHub Velocity**: Frequent commits, quick iterations
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- **Project Completion**: Finished projects, not just started ones
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- **Response Time**: Quick to engage, quick to deliver
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- **Adaptation Speed**: How fast do you integrate feedback?
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### Signs of Curiosity
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- **Side Projects**: What do you build for fun?
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- **Learning Artifacts**: Blogs, notes, or projects showing learning
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- **Question Quality**: Do you ask insightful questions?
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- **Knowledge Breadth**: Interests beyond your specialty
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## Why This Matters for Jan
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### AI Moves Too Fast for Slow
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- Models improve monthly
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- User expectations evolve weekly
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- Competition ships daily
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- Standards change quarterly
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If we're not fast and curious, we're obsolete.
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### Local-First Demands Both
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- **Fast**: Users expect immediate responses, not cloud latency
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- **Curious**: Supporting every model requires understanding each one
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- **Fast**: Privacy bugs need instant fixes
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- **Curious**: New quantization methods need quick adoption
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## The Compound Effect
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Fast + Curious creates exponential growth:
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```
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Ship Fast → User Feedback → Learn →
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Ship Smarter → More Users → More Learning →
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Ship Even Faster → Compound Growth
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```
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Each cycle makes us:
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- Faster at shipping
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- Better at learning
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- More valuable to users
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- More attractive to talent
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## Join Us If...
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- You've shipped something this week (not this year)
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- You've learned something new today (not last month)
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- You see a Jan issue and think "I could fix that"
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- You read our codebase and think "I could improve that"
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- You use Jan and think "It could also do this"
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## The Promise
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If you join Jan as someone fast and curious, in a year you'll be:
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- **Faster**: Shipping features you can't imagine today
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- **Smarter**: Understanding AI at a level that surprises you
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- **Connected**: Part of a global community of builders
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- **Impactful**: Your code running on millions of devices
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## The Bottom Line
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We don't hire for what you know today. We hire for how fast you'll know what matters tomorrow.
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In the race to build open superintelligence, the fast and curious don't just keep up—they set the pace.
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---
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*"At Jan, we measure progress in iterations per week, not years of experience."*
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