---
title: 'Commercial Counsel at Andromeda Cluster'
canonical: 'https://feeny.ai/job/commercial-counsel-andromeda-cluster-united-states-qxcpjwx99vr0'
type: 'job'
last_seen: '2026-09-10'
---

# Commercial Counsel at Andromeda Cluster

- **Company:** Andromeda Cluster
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/andromeda/743fc042-3861-41db-bef7-40bff27bad27

## Job description

Commercial Counsel Location: Remote (US) · Full-Time

## About Andromeda

Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we've been quietly building the systems, network, and orchestration layer that makes the world's AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it's needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.

## The Role

We're hiring our second lawyer — and the first member of the legal team to report to our General Counsel. This is a rare seat for a top-firm associate, or a lawyer with early in-house experience, ready to take on real ownership from day one. You'll negotiate revenue-critical deals from the start, develop judgment across the full range of an in-house legal function, and work closely with the GC on the matters that move the business. Just as important, we are building the legal function for a new era of law. We adopt modern tools aggressively, and we build our own where they don't yet exist. We expect this role to help lead that effort. You don't need to be an expert in AI today, but you should be curious about it and excited to work in an AI-native environment. This role is ideal for someone energized by a fast-moving environment, drawn to building, and motivated to help the business grow.

## What You'll Do

Own Commercial Work ● Draft, negotiate, and help close the revenue-critical commercial agreements at the center of our business ● Take ownership of complex, non-standard deals with demanding requirements and meaningful stakes ● Work through key commercial terms and balance sound protection with the pace required by the business

Build the Function ● Help evolve our templates, playbooks, and risk frameworks as the business model continues to develop ● Help build and refine the modern, AI-enabled legal tooling that lets a small team operate at scale — central to how we work ● Help design and operate the lightweight approval workflows and judgment frameworks appropriate for a high-velocity company ● Learn to use outside counsel surgically while owning the core work in-house

Range Across the Stack ● Support corporate governance, board matters, and entity maintenance ● Gain exposure to compliance as it touches the real business — data privacy and security, export controls, and emerging AI-related regulatory questions ● Pick up employment, IP, and vendor matters as they arise ● Support fundraising, M&A, and strategic transactions as needed

The point of this role is breadth. You'll touch nearly every part of what an in-house legal function does.

Partner Across the Business ● Be a responsive, trusted partner to sales, finance, product, and operations ● Translate legal concepts for non-legal stakeholders clearly and pragmatically, without unnecessary friction ● Help the business move quickly while keeping risk thoughtfully managed

## What We're Looking For

Experience: 3–5 years of legal experience, including training at a top-tier law firm Background: A corporate or commercial background is ideal, especially experience advising startups or technology companies. We're also open to strong candidates from other backgrounds who can adapt quickly Credentials: J.D. from an accredited law school and active bar membership in at least one U.S. state Foundation: A foundation in commercial contracts and corporate matters, or the ability to develop one quickly Drive: Highly motivated and quick to learn, with a strong appetite for feedback and professional growth AI-native mindset: Openness to an AI-native way of working — curiosity about how AI and modern tools are reshaping legal practice, and enthusiasm to help build it. No technical proficiency required Judgment: Excellent judgment and comfort making decisions with imperfect information Orientation: Business-minded; you focus on enabling the business while managing risk Ambition: An interest in building a broad, generalist in-house practice over time

Strong Candidates May Have ● Exposure to infrastructure, cloud, or marketplace business models ● Experience at early-stage or hypergrowth companies where deal velocity was critical ● Comfort with complex, SLA-driven, or otherwise non-standard commercial agreements ● Hands-on experience with AI or legal-tech tools, or a track record of adopting new technology to work more effectively

## Why You'll Love It Here

Apprenticeship with real stakes: Direct mentorship from the GC, on live deals, with significant room to grow AI-native by design: Help build the tools and workflows for a new era of legal practice Greenfield: Help build a legal function from first principles, with real foundation already in place Real business: Meaningful revenue, complex transactions, and tangible impact High-growth environment: Operate at the center of one of the most innovative markets in technology

## Compensation & Benefits

Base salary: $210K - $235K Annual target bonus: $15K - $40K Equity: a meaningful equity grant Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

## About Andromeda Cluster

## Company Overview
- **One-liner**: Andromeda is building the liquidity layer for global AI compute, connecting AI teams with high-performance GPU capacity through a trusted marketplace that standardizes and matches supply with demand.
- **Entity Type**: Private (Funding not disclosed)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023 (inferred from public launch in March 2026 after three years of operation)
- **Founders**: Nat Friedman, Daniel Gross

## Core Business
- **Primary industry**: AI infrastructure and compute marketplace
- **Target customers**: B2B – AI labs, data centers, cloud providers, and any organization building large-scale AI workloads
- **Mission/purpose**: To make high-performance compute available to every team building at the frontier, so breakthroughs are driven by ideas, not hardware access.

## Products & Services
- **[Andromeda Marketplace (Buy Side)]**: A single platform where AI teams can define their workload (GPU type, quantity, region, timeline) and access real-time pricing across 100+ providers. The platform benchmarks, prices, routes, and deploys compute – reserved, on-demand, or spot – with standardized SLAs, contracts, and full observability.
- **[Andromeda Marketplace (Sell Side)]**: Enables compute providers (telcos, crypto data centers, MSPs, sovereign clouds) to onboard their infrastructure, get it certified against enterprise-grade benchmarks, receive qualified demand, and start earning revenue with standardised terms and one invoice.
- **Managed Clusters**: Began as a single multi-thousand GPU cluster for early-stage startups; now operates a constellation of clusters across many providers, supporting both training and inference workloads.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key metric**: 1 billion+ GPU-hours of compute managed; over 1000 transactions completed; 100+ compute providers on the platform
- **Notable Investors/Partners**: Founders are well-known tech figures (Nat Friedman, former GitHub CEO; Daniel Gross, investor/entrepreneur). Specific investors not disclosed. Works with leading AI labs, data centers, and cloud providers.
- **Growth Signals**: Public launch in March 2026; 14 employees with +15.8% monthly headcount growth; 10 active job postings; +11.1% monthly job posting trend; global remote hiring with San Francisco office.

## Competitive Advantages
- **Standardized certification**: Every cluster on the network must meet uniform benchmarks for GPU, CPU, storage, network fabric, throughput, and security – removing trust barriers.
- **Matching engine**: Prices, routes, and deploys the right infrastructure to the right workload automatically, with options for reserved, on-demand, and spot.
- **Full-stack market infrastructure**: Sourcing, certification, contracting, matching, operations, and observability – all under one relationship.
- **Founder credibility**: Built by Nat Friedman and Daniel Gross, giving the platform instant legitimacy and access to early AI labs.

## Strategic Focus
- Build the liquidity layer for global AI compute: expand the network of providers and buyers, deepen the orchestration layer, and enable compute to flow as freely as other commodities.
- Grow the team across engineering, sales, partnerships, and operations – with a strong emphasis on AI infrastructure roles.

## Why Work Here
- **Culture & environment**: Small, high-impact team (14 people) working on one of the most critical bottlenecks in AI. Flat structure with direct access to leadership.
- **Remote/hybrid policy**: Global remote with a San Francisco office. Many roles listed as "Global Remote / San Francisco, CA".
- **Engineering culture**: Deep technical challenges – GPU orchestration, distributed systems, observability, kernel-level performance tuning. Tech stack includes Kubernetes, Slurm, PyTorch, CUDA, Weka, Prometheus, Grafana, and more.
- **Roles available**: Compute Trader, Site Reliability Engineer, Software Engineer, Head of Partnerships, Solutions Engineer, Strategic Compute Finance Lead, and more – all focused on AI infrastructure.

## Sources
1. [Andromeda Homepage](https://www.andromeda.ai/)
2. [Andromeda Careers Page](https://andromeda.ai/careers)
3. [LinkedIn Company Page](https://www.linkedin.com/company/andromeda-cluster)
4. [Built In Profile](https://builtin.com/company/andromeda-andromeda-ai)
5. [Andromeda Insights Page](https://andromeda.ai/insights)

## Other roles at Andromeda Cluster

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