--- title: 'Member of the Technical Staff - Provider Tools at Andromeda Cluster' canonical: 'https://feeny.ai/job/member-of-the-technical-staff-provider-tools-andromeda-cluster-north-42pjzgv0nber' type: 'job' last_seen: '2026-10-29' --- # Member of the Technical Staff - Provider Tools at Andromeda Cluster - **Company:** Andromeda Cluster - **Location:** North, United States / San Francisco, CA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-10-29 - **Apply:** https://jobs.ashbyhq.com/andromeda/c0030b26-3db7-4c24-9291-5739836c343f ## Job description Member of Technical Staff, Provider Tools Location: North America Remote / San Francisco, CA · 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 You will build the software compute providers use to sell through Andromeda. Data centers and cloud operators bring GPU clusters to us today through calls, spreadsheets, and manual checks before they sell any hours. Your job is to let a provider onboard a cluster, prove it is healthy, list it, and get paid. No one on our side needs to step in. You will also turn what we learn about each cluster into advice: what is failing, what buyers want, and what to fix to sell more. Most of the work is backend, in Go, Postgres, and data pipelines, with a TypeScript console on top. You read hardware health data every day. You work with our supply and solutions teams, carry a pager, and talk to providers every week. ## What You'll Own - Onboarding: The path from a signed provider to a cluster listed for sale, with no manual step on our side. - Readiness checks: Automated tests that decide whether a cluster is ready to sell, and that keep checking after it lists. - Statements: Statements that show a provider what sold and what we paid them, so they never need to ask us. - Fleet data: Uptime and health pipelines across every provider's clusters. - Provider advice: Reports from fleet data that tell a provider which failures cost them sales and what to fix first. ## What We're Looking For - Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty. - Supply-side product experience: You have built onboarding, readiness checks, or payouts for sellers, hosts, merchants, or partners. - Backend depth: You have shipped production services in Go, or you have the systems background to ship production Go within your first month. - Data pipelines: You have built pipelines and data models in SQL and Postgres or a warehouse that other teams rely on. - Hardware literacy: You can read a failing GPU health check on a Linux host and say which part broke. - Enough front end to ship: You build the front end for each feature you own. - Production on-call experience: You have carried a pager for a system customers depend on, and made it quieter afterward. Not A Fit - Front end only: Most of this role is backend and data. - You need a spec: Requirements here arrive as a provider problem and a rough sketch. - Hardware is someone else's problem: Here the hardware is the product our providers sell. - You want to manage: This is an IC role. Strong Candidates May Have - GPU cloud or marketplace experience: Supply onboarding or capacity tracking at a GPU provider or marketplace. - Hardware validation: Burn-in, acceptance testing, or checking delivered hardware against what a vendor promised. - Fleet monitoring: DCIM, uptime, or observability across many sites. - Payouts and revenue share: Metering usage and paying many parties correctly. ## Why You'll Love It Here - You replace the calls and spreadsheets providers rely on today with software they run themselves. - We are a unicorn, and our customers are leading AI labs and data centers in one of the fastest-growing markets on earth. - Small senior team, a seat at the table with leadership, and impact measured in days, not quarters. - Competitive pay and meaningful equity, plus 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. 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