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Why I Joined Kepler

First, a bit about me

Hi! I’m Susannah, Founding Engineer at Kepler. After studying Computer Science at Stanford, I worked as a senior engineer at Facebook on big data problems – shaping how I build reliable systems early on.

Since then, I’ve joined four seed-stage startups to build and accelerate engineering. I’ve learned what actually matters to build early startups. Every career move I make is extremely intentional, and Kepler is no exception.

Most recently, I was Head of Engineering at Enigma Labs, where I built and led teams across full-stack engineering, data science, computer vision, and mobile. We scaled to over 300k users and built a unique dataset capturing anomalous activity in our skies: real data that demanded careful system design, seamless products, and strong infrastructure.

So why Kepler?

A few things made this an easy decision.

First, the founders. I jumped at the chance to work with Vinoo and John. They’re rare in how they think: deeply technical, highly opinionated about quality, and grounded in real product instincts. Beyond decades of experience at Palantir with a track record of shipping together, John and Vinoo have built and exited startups from zero to one. That lived experience shows up in the intention behind every decision they make.

Second, the stage and ownership. I joined Kepler as the first Founding Engineer. That means real ownership across product, infrastructure, and culture. Not just building features, but helping define how the company builds: the technical bar we set, the shortcuts we refuse to take, and the systems we choose to invest in.

Third, the problem itself. Kepler is tackling an unusually hard challenge: building AI systems that are fully traceable, with end-to-end provenance. No black boxes. No hand-waving. Deterministic data. We’re building agentic systems where every output can be inspected, understood, and trusted. While finance is our starting point, the underlying platform we’re designing extends far beyond it, into any industry where precision of data is just as important as the data itself.

I joined Kepler for the people, the ownership, and the chance to work on a problem that’s genuinely hard – and genuinely worth solving. If that excites you too, we’re hiring.