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AlembicAlembicSan Francisco, CA

Patent Counsel

Identifies and protects patentable innovations in causal AI and HPC by reviewing codebases, drafting USPTO applications, and managing global IP portfolio. Requires USPTO registration, 4-8 years experience, and ability to read Python/C++ code.

175k – 200k/yr
On-site4+ YOELegal

About the role

What You’ll Do

  • 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.
  • Build the "Causal Moat": Lead the strategy for protecting our proprietary technology and custom causal algorithms.
  • Forensic Documentation: Implement rigorous "defensibility hygiene"—ensuring appropriate timestamps, version-controlled records of invention, and clear human-inventorship trails.
  • End-to-End Prosecution: Draft and manage high-quality patent applications, acting as the primary bridge between our technical "magic" and the USPTO.
  • 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

  • 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.
  • The "Recovering" Specialist: You have 4–8 years of experience at a top-tier firm or in-house. You’re over the partner-track grind and want to be a builder.
  • USPTO Registered: You are a registered Patent Attorney (J.D.) or a highly experienced Patent Agent with a track record of winning Section 101 battles in AI/Software.
  • Strategic & Fast: You understand that in a startup, speed is a feature. You can deliver high-quality work without the "big law" lag.

We offer a competitive salary, premium health benefits, and meaningful equity that ensures you are a true partner in our success.

Skills

PythonC++Causal AiHpc OptimizationSpiking Neural NetworksPatent ProsecutionUsptoIp Portfolio ManagementVersion ControlCausal Inference

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