Patent Counsel
US$175,000 – US$200,000 / yr base salary
Posted 9 Jun 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4–8 yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$175,000 – US$200,000 / yr |
|---|
CertificationsJ.D.
Field of studyComputer Science, Electrical Engineering, Mathematics, Physics
Study levelBachelor's
About Alembic
Alembic is solving one of AI's defining challenges: proving cause and effect in proprietary enterprise data at scale. While generic models converge in capability, we're building the systems that process private corporate data to answer questions ChatGPT cannot—connecting marketing exposure to revenue, operations to outcomes, strategy to results.
Our customers include Nvidia, Delta Air Lines, Mars, and leading Fortune 500 companies making multi-million dollar decisions with our platform. The technical demands were so extreme we literally melted GPUs building this, which is why we're now operating one of the world's fastest private supercomputers. Backed by $145M from Prysm Capital, Accenture, and Silver Lake Waterman, we're scaling the team redefining enterprise competitive advantage in the age of AI. We work 5-days onsite at our SF SoMa HQ.
About The Role
We don’t believe in "legal vs. engineering." At Alembic, IP is a core part of our engineering culture. We are seeking a tech-native Patent Attorney or Senior Patent Agent who wants to trade the billable hour for a seat at the supercomputing table.
You won’t be sitting in an office waiting for disclosure forms; you will be in the codebase, working alongside our scientists and engineers to ensure our causal inference breakthroughs and SNN (Spiking Neural Network) architectures are defensible, timestamped, and protected.
What You’ll Do
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Code-Level IP Harvesting: Dive into our repos and PRs to identify patentable breakthroughs in causal AI and HPC optimization before they are even shipped.
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Build the "Causal Moat": Lead the strategy for protecting our proprietary technology and custom causal algorithms.
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Forensic Documentation: Implement rigorous "defensibility hygiene"—ensuring appropriate timestamps, version-controlled records of invention, and clear human-inventorship trails.
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End-to-End Prosecution: Draft and manage high-quality patent applications, acting as the primary bridge between our technical "magic" and the USPTO.
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Portfolio Strategy: Manage our global IP portfolio, working with our technical experts to decide what to patent vs. what to keep as a trade secret to stay ahead of "generic" AI models.
Who You Might Be...
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Technically Lethal: You can read Python/C++ or follow a complex technical architecture diagram. You likely have a degree in CS, EE, Physics, or Math.