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Decision Made: Leaving Meta

After four years building VPS, I've decided to leave Meta. The reasoning, the emotions, and what comes next.

Evyatar Bluzer
2 min read

I've decided to leave Meta in September. Four years, a platform built, a team developed. Time for the next chapter.

Why Now

The work is successful: VPS is running, scaling, valued. My job isn't to keep it running - others can do that.

The learning slowed: Year 4 taught less than Year 1. I'm optimizing, not pioneering.

The AI moment: We're in a transformational period. I want to be building new things, not maintaining existing ones.

Energy for change: I have energy for a new challenge. Better to leave with energy than stay until depleted.

What I'm Leaving

A working system: VPS serves millions of queries daily, reliably.

A strong team: 75 people who don't need me to succeed.

Career capital: Director-level at Meta is a strong position.

Certainty: I know how to do this job well.

What I'm Seeking

AI-native building: Products designed around AI from the start, not AI added to existing products.

Smaller scale: More direct impact, less coordination overhead.

Frontier problems: Unsolved challenges, not optimization of solved ones.

Ownership: My decisions, my outcomes.

The Options

Big company AI team: Google, Apple, OpenAI - similar scale, different problems Startup: Join or start something new Independent: Consulting, investing, building

Leaning toward independent + building. Want flexibility to explore before committing.

Emotional Processing

Grief: Leaving something I built from scratch Excitement: New possibilities ahead Fear: What if I'm wrong? Gratitude: Four transformative years

All these feelings are valid. Sitting with them rather than rushing through.

The Handoff

Three months to transition:

  • Document everything not written down
  • Transfer relationships
  • Complete in-flight projects
  • Say proper goodbyes

Leaving well matters for the team and for my integrity.

What's Constant

Regardless of what's next:

  • Spatial computing expertise travels
  • AI/ML skills are universal
  • Leadership experience applies anywhere
  • Network persists across roles

The foundation is solid. Now to build something new on it.

Last quarter at Meta begins.

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