Head of Marketing

Location: San Francisco / North America Remote · Full-Time

About Andromeda

Andromeda is a market and infrastructure platform to buy, sell, and operate compute.

We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it. We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.

We sit at the center of three forces:

Companies that need reliable, high-performance compute fast
A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers
Capital, risk, and operational complexity that most teams are not equipped to manage

When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite.

In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it.

The Role

We're looking for a founding marketing hire: part product marketer and part storyteller. This person will own our public narrative, translate our GPU compute offering for technical and executive buyers, and build the enablement, launches, and customer proof that help our sales team win. You'll partner closely with Wil, our CEO, on refining and publicizing our point of view on the compute market. There's no playbook or team to inherit: you'll set the direction.

What You’ll Do

Own the Andromeda story. Define how we describe what we do and why it matters, including the company narrative, who we sell to, and the core messaging that sales, customers, partners, and press all pull from.
Translate the product for different audiences. Work closely with Product, Eng, and Capacity to understand our clusters, capacity, and pricing well enough to explain them credibly to engineers, executives, and buyers who each care about different things.
Lead go to market for new offerings and announcements. Coordinate Product, Eng, Sales, and partners around one plan, including the narrative, sales materials, press, and what success looks like.
Equip sales to win. Build the decks, one pagers, and deal talking points reps need, run win/loss analysis, and keep a current view of competitors that improves how we sell.
Build customer proof. Develop case studies, reference customers, and use cases that show real outcomes, and work with partners on joint announcements and co-marketing.
Create the customer learning loop. Build direct relationships with customers and prospects, capture objections and gaps, track the compute market, and turn what you learn into product and positioning decisions.

What We’re Looking For

A marketing leader with depth in AI infrastructure. Deep experience in product marketing or GTM roles in AI infrastructure, cloud, or developer platforms, with real time spent close to the product and the people who build it.
Technical credibility. You understand GPU compute and AI infrastructure well enough to hold your own with engineers, influence product decisions, and earn the trust of technical buyers.
An exceptional writer and storyteller. You can take something complex and make it clear and persuasive for engineers, executives, investors, and press, and you hold a high bar for anything that goes out under the company's name.
Commercial judgment. You think like an owner of the business, understand how deals get won and lost, and have built the enablement, competitive, and customer proof programs that helped sales close.

Not A Fit

You want to lead through a large team and rely on others to carry execution.
You prefer to direct the work rather than do it. You will be writing the messaging, building the decks, and producing the content yourself.
You want to inherit something that already works. There is no existing playbook, toolset, or process here, and you will be building all of it from scratch.

Why You’ll Love It Here

True Ownership. You will be the founding member of our marketing team, with the opportunity to build the function from the ground up and shape its direction from the very start.
Competitive compensation and meaningful equity: Share in the value you help create.
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 the company

Andromeda AI Inc. runs a GPU compute marketplace that connects companies with a global network of providers for on-demand AI training and inference. It routes jobs across 100+ providers, manages sourcing, benchmarking, contracting, and billing, and consolidates charges into a single invoice using its pricing index to surface fair GPU pricing. The platform pulls from data centers, cloud services, and idle capacity from other sources to create a large, flexible pool of compute resources. Its goal is to increase compute liquidity and make powerful GPUs more accessible and affordable for AI development and research.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2023

Get referred to Andromeda Cluster

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Simplify's Take

What believers are saying

Andromeda raised $60 million from Paradigm at a $1.5 billion valuation in March 2026.
The company now serves more than 100 AI customers across 50-plus capacity providers.
WEKA says clusters deploy in ten minutes, increasing throughput and lowering customer switching costs.

What critics are saying

Hyperscalers and neoclouds can undercut pricing, compressing Andromeda margins by 2026.
A provider outage or storage mismatch across 50-plus suppliers breaks customer trust immediately.
If AI demand cools, Andromeda's marketplace liquidity collapses, threatening the entire company.

What makes Andromeda Cluster unique

Nat Friedman and Daniel Gross built Andromeda from NFDG portfolio demand.
Andromeda standardizes GPU buying across 50-plus providers with one contract, invoice, and benchmark.
WEKA integration gives hyperscaler-grade storage consistency across managed clusters in minutes.

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Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Unlimited Paid Time Off
Remote Work Options
Company Equity

Growth & Insights and Company News

6 month growth

-3%

1 year growth

-3%

2 year growth

-3%

Ohsem.me

Jul 30th, 2026

WEKA and Andromeda partner to power AI workloads at global scale.

WEKA and Andromeda partner to power AI workloads at global scale. 30/07/2026 Partnership delivers consistent, high-performance AI storage across Andromeda's global provider network, lowering the total cost of innovation for AI teams CAMPBELL, Calif., July 30, 2026 /PRNewswire/ - WEKA, the AI data and memory infrastructure company, today announced that Andromeda, the platform connecting AI teams with high-performance compute, is integrating the WEKA NeuralMesh platform as a core AI data storage layer for managed GPU clusters. Andromeda's customers can now access a dedicated NeuralMesh or a GPU-native WEKA NeuralMesh Axon deployment to achieve consistent storage performance across any cluster running on any hyperscaler or AI cloud. WEKA and Andromeda: powering AI teams building at the frontier Keeping GPUs Fed Across Every Environment Andromeda is on a mission to make high-performance compute available to every team building at the frontier, so breakthroughs are driven by ideas, not hardware access. The company works with leading AI labs, data centers, and cloud providers, routing training and inference jobs across the global supply chain. Andromeda operates across more than 50 compute providers worldwide, routing training and inference workloads through a growing global fleet of managed clusters. Every cluster on Andromeda's platform must meet the same quality benchmarks regardless of who operates the infrastructure; the company certifies each cluster across GPU, storage, network fabric, and security before it reaches a customer. That standard exposed a hard problem: each provider brought its own storage environment and performance varied cluster to cluster. With WEKA, Andromeda achieves significant performance gains on existing hardware, deployment in minutes, consistency across every provider, and lower storage costs. "Our goal is to enable the global flow of compute, and that means every cluster we deliver has to perform, no matter where the capacity comes from. Standardizing on WEKA NeuralMesh has given our customers hyperscaler-grade consistency with open-market flexibility at the storage and memory layer, where performance is won or lost," said Wil Moushey, CEO at Andromeda. "Idle GPUs are throttling the pace of AI innovation. WEKA helps us ensure every GPU we manage is earning its keep." GPU-Native AI Storage & Memory, Deployed in Minutes When one research lab found its workloads bottlenecked by its cluster's supplied storage, Andromeda deployed NeuralMesh Axon on the same hardware, unlocking the performance the lab needed, without additional infrastructure. NeuralMesh Axon is the GPU-native deployment of the NeuralMesh software platform. It fuses storage directly into Andromeda's GPU servers, converting each cluster's existing NVMe into a unified, high-performance data layer that feeds training and inference at full speed. Because that infrastructure is already racked, powered, and paid for, it adds performance without adding footprint, power draw, or cost. Using the NeuralMesh Kubernetes Operator, Andromeda can stand up a complete NeuralMesh cluster in minutes and manage its full fleet through the same workflows that run every other layer of the stack. Among Andromeda's NeuralMesh deployments, roughly half run NeuralMesh Axon; the rest run dedicated NeuralMesh deployments for customers who need every GPU core and every gigabyte of memory dedicated to their workloads. Wherever it's deployed, NeuralMesh delivers the same performance floor, regardless of which provider's hardware sits underneath it. That reliability allows Andromeda to onboard customers onto clusters that previously had no shared storage. For Andromeda, the impact is evident: * Ready on day one. New NeuralMesh Axon clusters deploy in as little as 10 minutes, so AI teams start running workloads the day their cluster comes online. * Rapid iteration. AI teams building on Andromeda-managed clusters have seen environment startup load times drop from three minutes to 30 seconds, fitting more experiments into every day. * Performance at scale. Andromeda clusters running on NeuralMesh Axon are achieving sustained throughput of over 400 GB per second per cluster and over 6 million IOPS in production. That performance enabled one Andromeda biotech customer to complete metadata-heavy transfers involving one billion files per directory in minutes rather than hours. * Native resilience. When faults threaten to cascade across an Andromeda cluster, NeuralMesh contains them and keeps the cluster available, protecting every customer workload. "Andromeda's first WEKA NeuralMesh Axon deployment took just 10 minutes to stand up from bare metal. That became our blueprint," said Vishvajit Kher, lead architect at Andromeda. "If a cloud provider doesn't offer shared storage, we're no longer blocked. We deploy WEKA NeuralMesh and know it will perform. It's a full-featured system, up to 90% less expensive than market alternatives, delivering savings that compound as we scale. Every dollar flows straight through to benefit the AI teams we serve." "Andromeda is solving one of the hardest problems in AI infrastructure: making compute from more than 50 different providers feel like one platform," said Liran Zvibel, co-founder and CEO at WEKA. "WEKA NeuralMesh extends that promise to the data layer, deploying in minutes and feeding training and inference workloads at full speed on any GPU provider's hardware, anywhere in the world. The teams building on Andromeda can skip the storage question entirely and start innovating. Together, we're helping AI teams reduce time from idea to outcome." Extending to the Newest Generation of AI Infrastructure Andromeda is deploying WEKA NeuralMesh across its global platform, spanning dedicated and GPU-native deployments. The partnership is already extending to next-generation AI hardware as Andromeda scales its global platform. AI teams interested in running workloads on Andromeda can get started at andromeda.ai. About Andromeda Andromeda connects buyers and suppliers of compute through a single platform that makes AI infrastructure easier to buy, sell, and operate - combining the simplicity and reliability of a hyperscaler with the flexibility, speed, and economics of an open market. Buyers get one interface to a global network of compute providers, with reservations, on-demand, and spot capacity validated against consistent benchmarks. Suppliers get the software, expertise, and distribution to acquire customers, run GPU clusters, and monetize capacity at scale. Andromeda serves more than 100 AI customers across 50+ capacity providers, with billions of GPU-hours supported. Learn more at www.andromeda.ai. About WEKA WEKA is the AI data and memory infrastructure company transforming the economics of agentic AI. The WEKA(R) NeuralMesh(TM) platform extends high-performance data storage and GPU memory to wherever they need to run, giving enterprises, AI cloud providers, and AI builders a unified foundation for training, inference, and agentic workloads. With WEKA Augmented Memory Grid, NeuralMesh extends GPU memory capacity by 1000x, accelerating time to first token by up to 20x, and serving 10x more concurrent users from the same GPU footprint, proven in production benchmarks. Trusted by leading global enterprises, frontier labs, and AI cloud providers, WEKA empowers customers to maximize GPU utilization, generate more tokens per watt, lower their cost per token, and scale production AI faster. Learn more at www.weka.io, or connect on LinkedIn and X. WEKA, WEKApod, and the W logo are registered trademarks of WekaIO, Inc. Other trade names herein may be trademarks of their respective owners. WEKA, The Foundation for Enterprise & Agentic AI Innovation 02/07/2026 18/08/2014 13/05/2026 27/04/2026 30/04/2026

SiliconANGLE Media

Mar 19th, 2026

On-demand GPU startup Andromeda raises funding at $1.5B valuation

On-demand GPU startup Andromeda raises funding at $1.5B valuation - SiliconANGLE

Andromeda Cluster

Head of Marketing

About the job