---
title: 'Patent Counsel at Alembic'
canonical: 'https://feeny.ai/job/patent-counsel-alembic-san-francisco-za6p9s63wmk8'
type: 'job'
last_seen: '2026-09-07'
---

# Patent Counsel at Alembic

- **Company:** Alembic
- **Location:** San Francisco, CA
- **Compensation:** $175k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-09
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/alembic/40e0589a-b97f-498f-8634-344fba49a962

## Job description

## 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

- 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.

## WHY THIS IS A RARE OPPORTUNITY

This is not a traditional "back-office" legal role. This is an invitation to be a builder at the absolute frontier of causal AI. Most attorneys spend their careers documenting the past; at Alembic, you are architecting the future of a multi-billion dollar moat from the ground floor.

We offer a competitive salary, premium health benefits, and meaningful equity that ensures you are a true partner in our success. If you are tired of the billable hour and ready to apply your legal prowess to a world-class supercomputing stack, we want to hear from you. Join us and help protect the technology that is redefining enterprise intelligence.

## About Alembic

## Company Overview
- **One-liner**: Alembic provides a real-time Causal AI platform that enables enterprises to measure, simulate, and optimize the true incremental impact of marketing investments on revenue.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2018
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Marketing analytics / Enterprise AI / Causal inference software
- **Target customers**: B2B – Fortune 500 enterprises, large B2C brands, and sophisticated marketing organizations
- **Mission or purpose statement**: To make blind, guess-based analysis obsolete by helping global enterprises act with clarity and confidence in the intelligence era.

## Products & Services
- **Alembic Causal AI Platform (3.0)**: A SaaS platform that continuously recomputes large-scale causal graphs across billions of signals (media exposure, pricing, macroeconomics, consumer behavior, operational inputs). Enables real-time budget simulation, marginal ROI analysis, incremental lift measurement, and scenario testing without batch processing.
- **Marketing Measurement & Attribution**: Replaces traditional MMM, MTA, and dashboards with dollar-for-dollar attribution across the full marketing funnel, isolating true causal impact per channel and tactic.
- **Enterprise Intelligence**: Extends causal inference beyond marketing to areas like pricing, sponsorship evaluation, and go-to-market strategy for cross-functional decision-making.

## Market Standing
- **Valuation/Market Cap**: $645 million (as of March 2026, per Techmeme)
- **Key Metric**: Total Funding – $145M Series B led by Prysm Capital and Accenture (March 2026); prior rounds include $16M Series A (WndrCo-led) and $2.6M Seed (KB Partners-led). Total disclosed funding approximately $128M–$145M.
- **Notable Investors/Partners**: Prysm Capital, Accenture, NextEquity, WndrCo, SLW, KB Partners. NVIDIA is the founding enterprise customer and exclusive supercomputing partner (first Causal AI company to secure NVIDIA DGX SuperPOD).
- **Growth Signals**: Headcount grew 76.6% year-over-year (to ~57 employees). Active job postings for engineering and applied AI roles. Multiple Fortune 500 clients (e.g., major airline, B2B tech firm) with measurable pipeline and revenue impact.

## Competitive Advantages
- **Causal AI vs. correlation**: Models cause-and-effect at scale, not just patterns; can simulate downstream impact of strategic decisions in real time.
- **Real-time graph architecture**: Continuously recomputes causal graphs instead of running batch reports, giving live views of incremental revenue drivers.
- **NVIDIA partnership**: Exclusive access to DGX NVL72 supercomputing infrastructure for enterprise decision-making, creating a hardware/software moat.
- **Proven enterprise traction**: Demonstrated pipeline growth of 37% for a Fortune 500 B2B client and precise sponsorship measurement for a major airline.

## Strategic Focus
- **Current priorities and direction for growth**: Expand causal AI applications beyond marketing into broader enterprise intelligence (pricing, operations, strategy). Scale platform adoption with Fortune 500 companies and deepen integrations with NVIDIA’s AI infrastructure. Continue hiring top AI research and engineering talent to advance causal inference capabilities.

## Why Work Here
- **Culture highlights**: Values include “embrace curiosity,” “be data driven,” “build stuff & ship it,” “maintain low egos,” “don’t blame, solve,” “everyone teaches,” and “brevity is strength.” Emphasis on experimentation, cross-department learning, and shipping without overanalysis.
- **Remote/hybrid/office policy**: In-person at San Francisco HQ (all open positions listed as “In Person Full Time”).
- **Notable perks or engineering culture**: Work on frontier Causal AI models with access to NVIDIA DGX SuperPOD. Opportunity to solve complex, high-impact problems for Fortune 500 clients. Flat, low-ego environment with a focus on shipping and data-driven decisions. Active open roles: Research Engineer – Causal AI, Senior Applied AI Engineer, Senior Site Reliability Engineer, Patent Counsel, Senior Field Scientist.

## Sources
1. [Alembic Website – Platform Overview](https://alembic.com/)
2. [Alembic – About Us & Culture](https://alembic.com/company)
3. [Alembic – Careers Page](https://alembic.com/careers)
4. [LinkedIn – Alembic Technologies Company Profile](https://www.linkedin.com/company/getalembic)
5. [Techmeme – Alembic raises $145M Series B at $645M valuation](https://www.techmeme.com/)
6. [Accenture Newsroom – Accenture Invests in Alembic](https://newsroom.accenture.com/)
7. [Alembic – Job Board (Ashby)](https://jobs.ashbyhq.com/alembic)

## Other roles at Alembic

- [Corporate IT Engineer](https://feeny.ai/job/corporate-it-engineer-alembic-san-francisco-r23xef67272p) — San Francisco, CA
- [Personal Trainer](https://feeny.ai/job/personal-trainer-alembic-san-francisco-5z7ydpcvkh3x) — San Francisco, CA
- [Technical Recruiter](https://feeny.ai/job/technical-recruiter-alembic-san-francisco-4n2tm5wcztb1) — San Francisco, CA
- [Technical Sourcer](https://feeny.ai/job/technical-sourcer-alembic-san-francisco-nn6tpm5b3zch) — San Francisco, CA
- [Senior Network & Site Reliability Engineer](https://feeny.ai/job/senior-network-site-reliability-engineer-alembic-san-francisco-mfdnj1j8nb1n) — San Francisco, CA
- [Senior Field Scientist](https://feeny.ai/job/senior-field-scientist-alembic-san-francisco-5rspg70tzw49) — San Francisco, CA
- [Senior Applied AI Engineer](https://feeny.ai/job/senior-applied-ai-engineer-alembic-san-francisco-jh4y886w59at) — San Francisco, CA
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-alembic-san-francisco-dmmytp9nn6x1) — San Francisco, CA
- [Research Engineer - Causal AI](https://feeny.ai/job/research-engineer-causal-ai-alembic-san-francisco-ems0psx1gntj) — San Francisco, CA
- [Patent Counsel](https://feeny.ai/job/patent-counsel-axiom-talent-platform-united-states-6ckvw1hzx9at) — United States