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Alembic provides AI-powered marketing analytics for C-suite executives. Our near-real-time platform leverages cutting-edge mathematics, proprietary algorithms, and composite AI, forming an innovatβ¦
Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes β the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.
We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure β one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)
We're building infrastructure that has to perform under real-world scale, reliability, and security demands β and we're looking for an engineer who wants to own the foundation it runs on. This isn't a traditional \"keep the lights on\" role.
You'll design and operate the global network and reliability layer behind one of the world's fastest private supercomputers β the fabric powering distributed compute, ML workloads, real-time analytics, and mission-critical enterprise systems. You'll work across networking, systems, automation, observability, and reliability engineering to scale a platform where performance genuinely matters, with real influence over architecture decisions.
It's a strong fit if you like solving deep infrastructure problems, building resilient systems, automating everything repetitive, and owning architecture rather than just maintaining it.
You want to own mission-critical network and infrastructure end to end β from architecture to incident management β not just keep it running.
You'd rather build and automate than direct from a distance, and you want meaningful influence over how a high-performance platform scales.
Hard problems with real impact: You'll own the network and reliability layer behind systems that influence multimillion-dollar decisions at Fortune 100 companies.
Cutting-edge technology: Operate our own NVIDIA DGX SuperPOD on Grace Blackwell β one of the fastest private supercomputers in the world β and run a fabric (InfiniBand, Spectrum-X, BlueField) almost no company has in-house.
Technical autonomy: Ownership over architecture decisions and the freedom to solve hard infrastructure problems your way.
Elite team: Join top engineers who thrive on hard problems and high-impact work.
Series B momentum, real ownership: Meaningful equity at a Series B company that's raised $145M, with proven product-market fit and Fortune 100 traction.
If you only want to tell people what to build instead of building and automating
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