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Pierre and Alex weren’t pitching space dreams; they had a scrappy plan to standardize satellite launches. When they explained how any company could deploy to orbit like spinning up a server, we knew we had to lean in.

The founders were already legendary in systems engineering circles. When Avery walked us through his vision of the new internet, where private networks were as simple as email, it felt impossible to most. To us, it felt inevitable.

Grant, Jon, and James knew that we needed a better way to create presentations, landing pages, and marketing collateral without the hassle of formatting or securing scarce design resources. We immediately grasped the pain points they were solving for. The world didn’t need another presentation tool—it needed a faster way to think, build, and communicate from scratch. Enter Gamma, the AI-native design platform that eliminates the friction between a fresh idea and a finished product—no code or design skills required.

Edward’s student project started with a simple question: how do we know what’s written by humans in an AI-saturated world? A few weeks after the release of ChatGPT changed the world, we saw GPTZero as the beginning of a critical new category.

For decades, retirement savings were weighed down by paper, regulation, complexity, and stale incumbents; we saw the true scale of the problem—millions of workers with no path to financial stability. Human Interest proved that even the most entrenched industries can break through inertia.

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Staff Deep Learning Compiler Engineer

Quadric

Location: United States

Compensation:

USD 170k-230k / year + Equity

Posted:

1 month

Series C

Mid-Senior Level

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Senior/Staff Deep Learning Compiler Engineer