---
title: 'Commercial Counsel at Alembic'
canonical: 'https://feeny.ai/job/commercial-counsel-alembic-san-francisco-kc0pb6g6s0w8'
type: 'job'
last_seen: '2026-11-02'
---

# Commercial Counsel at Alembic

- **Company:** Alembic
- **Location:** San Francisco, CA
- **Compensation:** $175k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/alembic/d820a15c-b1d0-4c37-b1f2-898cefe8f944

## Job description

## About Us

Alembic is the pioneering Causal AI platform. We help the world’s largest enterprises move past correlation to prove what actually drives business outcomes — 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 — one of the fastest private supercomputers in the world. (We’ve melted GPUs getting here.)

## About the Role - Commercial Counsel

Legal at Alembic is not a review queue. Our Patent Attorney sits in the codebase with the scientists. Our Commercial Counsel sits in the room where deals get done — on both sides of the table. We’re looking for a Commercial Counsel to own Alembic’s commercial contracting end to end. You’ll report to our Head of Corporate Legal and be the person Sales, Finance, Partnerships, Security and Infrastructure come to when something needs to move. If you want a defined slice of a twelve-lawyer department, this isn’t it. If you want to build a commercial legal function at a Series B company and have it be visibly, unambiguously yours, keep reading.

## What You’ll Do

- Own the enterprise deal desk. Lead negotiation of master agreements, order forms, DPAs, security exhibits and NDAs with Fortune 100 customers and their procurement organizations. You’re the single legal point of contact on every deal, and the reason deals close on time.
- Build the playbook. Create the templates, fallback positions and escalation paths that let Sales self-serve on standard terms — so Legal becomes a speed advantage rather than the last gate before signature.
- Paper the partnerships. Structure and negotiate reseller, co-sell, SI and strategic alliance agreements, including with partners who are also investors and customers.
- Secure the stack. Serve as legal lead on the infrastructure behind our causal engine — compute and capacity, colocation, hardware procurement, data licensing and the vendors who support it — and keep supplier terms aligned with the commitments we’ve already made to customers.
- Defend the data. Own the data-protection and AI-regulatory posture that enterprise security reviews live or die on: GDPR, CCPA, DPAs, sub-processor chains, and the emerging AI rules our customers are already asking about.
- Support what’s next. Partner with the Head of Corporate Legal on financing and strategic transactions, and on the diligence and contract work that follows them.

What Will Help You Succeed

- A JD and active membership in good standing of at least one US state bar — California preferred, or eligible to register as in-house counsel here.
- 5–9 years in commercial and technology transactions, with substantial in-house time at a high-growth technology company. Big-law training plus an in-house tour is the classic shape.
- A track record negotiating enterprise SaaS and data agreements against Fortune 100 procurement and security teams — unsupervised, and without losing the deal.
- Real fluency in data protection and security contracting: GDPR, CCPA, DPAs, sub-processor chains, security addenda. Our platform runs on our customers’ proprietary data. This is not a side issue here.
- Evidence you’ve built process, not just closed deals. We care more that you made a contracting motion faster than that you papered a famous transaction.
- A plain-spoken style. You can tell an AE what the risk actually is in two sentences, and tell an executive when the answer is no.
- Helpful, not required: compute, colocation, data centre or hardware procurement agreements; export controls; exposure to venture debt or equipment financing; selecting and rolling out a CLM.

## The role is right for you if

- You’ve built a commercial legal function before — or you’ve watched someone else build one and have strong opinions about what they got wrong.
- You want proximity to the thing being sold. Our customers make eight- and nine-figure decisions on Alembic’s output, and the contracts reflect exactly that.

## Why You Might Be Excited About Alembic

- The whole motion is yours. Customer, partner, vendor and infrastructure paper in one seat, reporting straight to the Head of Corporate Legal. No queue, no six layers of review.
- Deals that genuinely matter. Fortune 100 companies including Nvidia, Delta Air Lines and Mars make multimillion-dollar decisions on our output. The agreements you negotiate carry real weight on both sides of the table.
- A category being created in front of you. Causal AI is new, and so are the contracting questions it raises — data rights, model outputs, attribution, what a vendor can responsibly warrant. You’ll write first drafts the market hasn’t seen yet.
- Infrastructure most lawyers never touch. We run our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure — one of the fastest private supercomputers in the world. Someone has to paper the compute behind it.
- 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.

## Why You Might Not Be Excited

- If you want a defined lane inside a built-out legal department, this isn’t it. You’ll be drafting the template, choosing the CLM and running the deal, often in the same afternoon.
- You prefer inheriting process to defining it. Much of what this role needs simply doesn’t exist yet.
- You prefer static over dynamic. We’re onsite five days a week in SoMa, priorities shift with the business, and the scope of this seat will keep growing. We have real paying customers and a playbook for growth, and we still move at startup speed at Series B scale.

## 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)

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