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Hiring our first AI Safety engineer

Maya Chen · Apr 14, 2026 · 6 min read
AI Safety engineer hiring

Most AI startups hire safety after Series B. We're hiring it at 30 people. Here's why, and what we're looking for.

The bet we're making

We treat governance and safety as the product, not a feature bolted on later. If we get them wrong — if customers can't trust the sandboxed runtime, the audit trail, the breach protocols — no customer trusts us with anything important. We lose the category.

Most competitors are betting they can safety-patch their way to SOC 2. We're betting that safety is the moat or it's nothing.

Safety isn't a layer we'll add later — it's the moat or it's nothing.

What this person owns in 90 days

Not policy papers. Shipped work:

What we look for

Production engineering chops first. We need someone who can ship code, run incident response, and think in systems. Not pure academia. Not just policy theatre.

A safety mindset means you can argue with the CEO when scope creeps dangerously, or when a customer asks for a feature that breaks containment. You say no. You have data. You sleep well.

What we don't look for

Be honest about trade-offs. Safety costs velocity. Our job is to make that trade visible and defendable — not to pretend it doesn't exist.

How to apply

We read every application. Short resume, a note on why this role, what you'd ship first. Link below.

Careers

Want to own this?

We're hiring our first AI Safety engineer. Apply directly — we read every application.

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