--- title: 'Solutions Architect at Andromeda Cluster' canonical: 'https://feeny.ai/job/solutions-architect-andromeda-cluster-north-zr7mnep0c89s' type: 'job' last_seen: '2026-09-10' --- # Solutions Architect at Andromeda Cluster - **Company:** Andromeda Cluster - **Location:** North, United States / San Francisco, CA - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-29 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/andromeda/a365f059-8753-4d1c-ae48-2a2570a41e28 ## Job description Solutions Architect Location: Remote/SF-Hybrid · 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 hiring our first Solutions Architect to own the technical side of our largest customer engagements. You will be the technical face of Andromeda to frontier labs and enterprises evaluating Andromeda to train and serve their models, as well as the advocate for those customers after they sign. You'll own your accounts end-to-end. You run the technical discovery and the POC that wins the deal, then you're the person who lands the cluster, gets the first real training run through it, and stays the technical owner as the account grows. No handoff to a stranger at signature. The architecture you promised in the evaluation is the architecture you're accountable for in production. You are the person in the room who can go from a CTO's roadmap to an interconnect topology without losing either audience. This is greenfield. There's no SA playbook here yet; no demo environment, no evaluation template, no onboarding runbook, no reference architectures. You'll build them, and they'll become how Andromeda works with customers for years. If you've been the person who quietly built all of that at your last company and want to do it on purpose this time, this is that role. ## What You’ll Do Win the technical evaluation ● Partner with Sales to qualify opportunities, lead technical discovery, and scope evaluations against the customer's real success criteria — not a generic checklist. ● Design cluster and workload architectures that map to business outcomes: time-to-first-token, tokens/sec, MFU, cost per training run, reliability targets. ● Own POCs end-to-end — scope, benchmarks, success metrics, timeline, stakeholder alignment. Land it and grow it ● Take customers from signature to first successful production training run: provisioning, environment setup, validation benchmarks, and the unglamorous debugging in between. ● Serve as the named technical owner for your accounts after launch. You’re responsible for architecture reviews, capacity planning, performance and cost optimization, and technical workload reviews. ● Spot expansion before the customer asks: where they're capacity-constrained, what's coming on their roadmap, and what it will take to serve it. Build the function ● Create the assets the SA team runs on: demo environments, benchmarking harnesses, reference architectures, onboarding runbooks, evaluation playbooks, and competitive material. ● Be the highest-signal feedback loop into Product, Engineering, and Research — recurring gaps, competitive losses, and what customers actually ask for once they're in production. ## What We’re Looking For ● 5+ years in customer-facing technical roles, including 2+ years in pre-sales (Solutions Engineer, Sales Engineer, Solutions Architect, or specialist SA). ● Direct experience selling or supporting GPU compute at a neocloud or GPU provider, or as an AI/HPC specialist at a hyperscaler or NVIDIA. ● Demonstrated ability to take a customer from evaluation into production and stay accountable for the outcome. ● Real fluency in large-scale training and inference: distributed training frameworks, multi-node topologies, InfiniBand/RoCE, storage and checkpointing, and where these break at scale. ● Comfort with Kubernetes and SLURM as scheduling environments customers actually run in. ● Enough Python to build a benchmark, a prototype, or an API integration yourself rather than waiting on engineering. ● A track record of owning technical evaluations in complex, multi-stakeholder deals and changing the outcome. ● Exceptional communication, able to hold a deep conversation with a distributed systems engineer and a CFO. Strong Candidates May Have ● Experience with frontier labs or AI-native companies as customers. ● Performance benchmarking, MFU analysis, or total-cost-of-training modeling. ● Having been the first or earliest SE somewhere. What Success Looks Like ● POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI. ● Customers reach their first production training run fast, and what they saw in the POC is what they get. ● Accounts grow because you saw the constraint coming before the customer raised it. ● The assets you build let the next five SAs ramp in weeks instead of quarters. ## Why You’ll Love It Here ● High-growth environment: Get in early at a company at the center of the AI infrastructure boom ● Competitive compensation: + meaningful equity ● 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 - [Commercial Counsel](https://feeny.ai/job/commercial-counsel-andromeda-cluster-united-states-qxcpjwx99vr0) — United States - [Account Executive](https://feeny.ai/job/account-executive-andromeda-cluster-global-san-francisco-ca-1tm67xsyk7dp) — Global / San Francisco, CA - [Technical Recruiter](https://feeny.ai/job/technical-recruiter-andromeda-cluster-north-sr46j2svwq6d) — North, United States / San Francisco, CA - [Compute Procurement Lead](https://feeny.ai/job/compute-procurement-lead-andromeda-cluster-north-d47ra63emanm) — North, United States / San Francisco, CA - [Forward Deployed Engineer - SRE](https://feeny.ai/job/forward-deployed-engineer-sre-andromeda-cluster-north-gq659csdwgjm) — North, United States / San Francisco, CA - [Member of the Technical Staff - Platform](https://feeny.ai/job/member-of-the-technical-staff-platform-andromeda-cluster-north-5cvpct616zrg) — North, United States / San Francisco, CA - [Member of the Technical Staff - Systems](https://feeny.ai/job/member-of-the-technical-staff-systems-andromeda-cluster-north-v5rxr6ehp0n4) — North, United States / San Francisco, CA - [Member of the Technical Staff - Product](https://feeny.ai/job/member-of-the-technical-staff-product-andromeda-cluster-north-xr2e2vx5fvd1) — North, United States / San Francisco, CA - [Revenue Operations Lead](https://feeny.ai/job/revenue-operations-lead-andromeda-cluster-north-85ygfakh7akh) — North, United States / San Francisco, CA - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-andromeda-cluster-global-san-francisco-ca-8nmssvsgsz33) — Global / San Francisco, CA