Andromeda Cluster

Location: North America Remote / San Francisco · 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 Opportunity We're hiring a Infrastructure Manager to accelerate supply and demand matching on our platform. This is an Individual Contributor role reporting to the Head of Infrastructure. The Infrastructure team sits at the core of our infrastructure. We're responsible for acquiring and facilitating compute resources across the company, working closely with compute providers, sales, and technical teams to match compute supply with demand. Today we have already established the fundamental layer of capacity with providers. As we scale, we are building the next layer—widening our network and liquidity, deepening the scope of our services, and accelerating our growth. What You'll Do • Match incoming leads from our sales team with internal capacity and external capacity in the market • Maximize utilization of our compute resources • Source and onboard new compute suppliers across the globe • Source capacity based on customer needs and market trends • Solve customer and supplier problems in a fast-moving, dynamic market • Understand technical and commercial differences between suppliers to optimize our capacity funnel • Develop a proactive compute strategy informed by market intelligence • Negotiate cost with suppliers and other vendors • Create and implement processes around capacity planning What We're Looking For • 2+ years in cloud sales, GPUs, data centers, or a related field • Existing network of contacts in the compute market (providers, brokers, or buyers) • Deep understanding of the GPU compute market—what drives supply and demand • Strong written and verbal communication across technical and commercial stakeholders • Sound judgment in decisions that directly impact revenue and cost • Comfortable operating in ambiguity • Self-directed and energetic, able to operate autonomously while collaborating cross-functionally • Bias toward action in a fast-paced environment Why You'll Love It Here - Impact: Be in a critical team unlocking revenue for the wider company - Real business: Meaningful revenue, complex transactions, and tangible impact - High-growth environment: Get in early at a company in a massive market - Ownership: Direct line to leadership and influence over how we scale - 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.

Location: North America Remote / San Francisco · 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 Opportunity We're hiring a Infrastructure Manager to accelerate supply and demand matching on our platform. This is an Individual Contributor role reporting to the Head of Infrastructure. The Infrastructure team sits at the core of our infrastructure. We're responsible for acquiring and facilitating compute resources across the company, working closely with compute providers, sales, and technical teams to match compute supply with demand. Today we have already established the fundamental layer of capacity with providers. As we scale, we are building the next layer—widening our network and liquidity, deepening the scope of our services, and accelerating our growth. What You'll Do • Match incoming leads from our sales team with internal capacity and external capacity in the market • Maximize utilization of our compute resources • Source and onboard new compute suppliers across the globe • Source capacity based on customer needs and market trends • Solve customer and supplier problems in a fast-moving, dynamic market • Understand technical and commercial differences between suppliers to optimize our capacity funnel • Develop a proactive compute strategy informed by market intelligence • Negotiate cost with suppliers and other vendors • Create and implement processes around capacity planning What We're Looking For • 2+ years in cloud sales, GPUs, data centers, or a related field • Existing network of contacts in the compute market (providers, brokers, or buyers) • Deep understanding of the GPU compute market—what drives supply and demand • Strong written and verbal communication across technical and commercial stakeholders • Sound judgment in decisions that directly impact revenue and cost • Comfortable operating in ambiguity • Self-directed and energetic, able to operate autonomously while collaborating cross-functionally • Bias toward action in a fast-paced environment Why You'll Love It Here - Impact: Be in a critical team unlocking revenue for the wider company - Real business: Meaningful revenue, complex transactions, and tangible impact - High-growth environment: Get in early at a company in a massive market - Ownership: Direct line to leadership and influence over how we scale - 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.

Site Reliability Engineer - AI Infrastructure Location: Global Remote / San Francisco · 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 — a marketplace that moves the infrastructure and workloads powering AGI not dissimilar to the flows of capital in the world's financial markets. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. What You’ll Do - Provision, configure, and operate Kubernetes-based clusters for customers across multiple providers. - Build automation and tooling to streamline cluster deployments and integrations. - Debug customer issues across networking, storage, scheduling, and system layers. - Improve reliability and scalability of both training and inference infrastructure. - Design and implement monitoring, alerting, and observability for critical systems. - Collaborate with engineering and product teams to plan and deliver infrastructure for new services. - Participate in on-call and incident response, leading postmortems and reliability improvements. What We’re Looking For - 5+ years experience in SRE, DevOps, or infrastructure engineering roles. - Strong Linux systems and networking fundamentals. - Deep experience with Kubernetes and container orchestration at scale. - Proficiency with Infrastructure-as-Code (Terraform, Helm, Ansible, etc.). - Strong automation and scripting skills (Python, Go, or Bash). - Experience with observability stacks (Prometheus, Grafana, Loki, Datadog, etc.). - Track record of operating production systems and leading incident response. Nice to Have - Exposure to ML/AI infrastructure or GPU-based systems (CUDA, Slurm, Triton, etc.). - Familiarity with high-performance networking (InfiniBand, NVLink) or distributed storage (VAST, Weka, Ceph). - Customer-facing support or consulting experience. Why You’ll Love It Here This is a builder’s role. You’ll have ownership and autonomy to shape how our systems run, working directly with customers and providers while building the foundation for reliable, scalable AI infrastructure.

Software Engineer - AI Infrastructure Location: North America Remote / San Francisco · Full-Time About Andromeda Andromeda Cluster, founded by Nat Friedman and Daniel Gross, is on a mission to democratize access to cutting-edge AI infrastructure previously reserved for hyperscalers. What began with a single managed cluster has quickly evolved into a global platform, connecting leading AI labs, data centers, and cloud providers. Our orchestration layer seamlessly routes training and inference jobs across the world, unlocking flexibility and efficiency in one of the fastest-growing sectors on earth. Our long-term vision is to establish a global marketplace for AI compute—powering AGI with the same fluidity as world financial markets. We are scaling rapidly and seeking exceptional talent in AI infrastructure, research, and engineering. The Role As an Infrastructure Product Engineer, you will play a pivotal role in building the backbone of Andromeda’s platform. You'll transform complex, real-world infrastructure challenges into scalable product capabilities that benefit our customers. Positioned at the intersection of infrastructure and product engineering, this role is deeply technical and systems-oriented, yet laser-focused on building solutions with broad leverage. What You'll Do - Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions. - Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers). - Translate customer usage patterns into product requirements, delivering impactful features and improvements. - Create automation and internal tooling to eliminate manual or ad-hoc operational work. - Enhance reliability, performance, and observability at the platform level, emphasizing durable improvements over quick fixes. - Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer-specific solutions. - Write clean, maintainable, and well-documented code with a focus on long-term sustainability. - Participate in technical design discussions and contribute to the architectural evolution of our platform. What We're Looking For - 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles. - Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems. - Proven expertise with Kubernetes, VMs, or bare-metal environments. - Advanced software engineering skills; capable of building production-grade APIs and services (Python, Go, or similar). - Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.). - Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions. - Product-focused mindset: care about interfaces, defaults, reliability, and sustainable operations. - Excellent written and verbal communication skills; effective collaborator across engineering and product functions. Nice to Have: - Hands-on experience with GPU or AI infrastructure. - Experience with control-plane or orchestration systems. - Background spanning both infrastructure and application/backend engineering. - Experience architecting multi-tenant systems. - Strong skills in technical writing and design documentation. - Early-stage startup experience. Why You’ll Love It Here This is a true builder’s opportunity: you’ll have ownership and autonomy to shape our systems, engage directly with customers and providers, and lay the foundations for scalable, reliable AI infrastructure. Join us at Andromeda and help power the future of AI.

Performance Engineer - AI Infrastructure Location: Global Remote / San Francisco · 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 Opportunity We are hiring a Performance Engineer to join our Growth team. In this role, your "product" is the efficiency and throughput of our massive-scale AI clusters. As we scale our network, the difference between a "working" cluster and an "optimized" one represents millions of dollars in value and weeks of saved research time for our customers. You will sit at the intersection of systems engineering and research, profiling end-to-end training runs to hunt down bottlenecks in compute, communication, and storage. What You’ll Do - Profile & Optimize: Conduct end-to-end profiling of training workloads to identify bottlenecks across GPU kernels, NCCL communication, and storage I/O. - System Refinement: Collaborate with systems engineers to improve scheduling efficiency, collective communication performance, and kernel execution. - Observability: Build and maintain high-fidelity tooling to monitor and visualize MFU, throughput, and cluster uptime. - Process Design: Design technical processes (e.g., postmortem reviews, incident response) that help the team operate effectively and avoid repeating performance regressions. What We’re Looking For - Systems Intuition: You love optimizing performance and digging into systems to understand how every layer interacts—from the training loop to the hardware. - Distributed Training Experience: Proven experience running distributed training jobs on multi-GPU systems or HPC clusters. - Coding Proficiency: Strong programming skills in Python and C++ (Rust or CUDA experience is a major plus). - ML Framework Depth: Solid understanding of PyTorch, JAX, or TensorFlow, and how large-scale training loops are built. - Infrastructure Knowledge: Familiarity with modern cloud infrastructure, including Kubernetes and Infrastructure as Code. - Rigor: A passion for measuring efficiency rigorously and translating raw profiling data into practical engineering improvements. Strong Candidates May Have - Low-Level Mastery: Experience with Linux kernel tuning, eBPF, and understanding systems design tradeoffs at the hardware level. - Specialized AI Infra: Hands-on experience with GPUs, TPUs, or Trainium, and the networking libraries that power them (NCCL, MPI, UCX). - Security & Privacy: Expertise in security best practices for high-scale infrastructure. - Observability: Familiarity with monitoring tools like Prometheus and Grafana. Why You’ll Love It Here This is a builder’s role. You’ll have ownership and autonomy to shape how our systems run, working directly with customers and providers while building the foundation for reliable, scalable AI infrastructure. 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.

Head of Product Location: North America Remote / San Francisco · 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 a Head of Product to define and drive the product vision that makes Andromeda real in the hands of customers and providers. This is a hands-on product leadership role, not a backlog-management or consensus role. You are responsible for turning company strategy, market signal, and customer pain into: - Clear product vision - Sharp priorities - Simple, powerful user experiences - A roadmap that compounds over time You will work in close partnership with the CEO, VP of Engineering, and design team. Product defines what and why. Engineering defines how. You own clarity, focus, and outcomes. This role sits at the center of: - Customer discovery and product strategy - Platform and marketplace design - Product Engineering - GTM alignment and enablement - Economic and incentive design - Tradeoffs between speed, quality, and leverage What You’ll Own 1. Clarify the Product Vision and Strategy You own Andromeda’s product vision across: - Customer-facing platform (developers, ML teams, enterprises) - Marketplace, matching, and pricing surfaces - Supply-side workflows for providers - Internal tooling that powers operations and GTM You will: - Translate the company strategy into a coherent product strategy - Define what Andromeda is (and is not) building - Make hard prioritisation calls under real constraints - Ensure the roadmap compounds toward a durable advantage 2. Deep Customer Discovery and Market Signal You are the voice of the customer inside the company. You will: - Spend significant time with AI labs, enterprises, and providers - Understand buying processes, technical workflows, and incentives - Identify patterns across deals, support issues, and usage data - Turn qualitative and quantitative signal into product decisions 3. Own the Roadmap and Product Execution You own the product roadmap end-to-end. That means: - Clear problem definitions and success metrics - Tight scoping and sequencing with Engineering - Ruthless prioritization as constraints change - Shipping incrementally without losing the long-term arc 4. Partner Closely with Engineering You are joined at the hip with the VP of Engineering. You will: - Provide clear product direction and tradeoff framing - Ensure engineers understand why things matter - Balance speed, quality, and scalability explicitly - Protect engineering focus by eliminating ambiguity - Help hold engineering accountable for delivering against the vision 5. Be a Product Partner to GTM Product is a core revenue driver at Andromeda. You will: - Shape how the product is positioned and sold - Ensure product capabilities align with real deal requirements - Help define pricing, packaging, and marketplace mechanics - Equip Sales and Partnerships with clear narratives and demos - Close the loop between the field and the roadmap You’ll regularly engage with senior stakeholders at customers and partners and must be credible in those conversations. What Success Looks Like in Year One - The product vision is clear, coherent, and understood across the company - The roadmap is focused, realistic, and compounding - Customers clearly understand Andromeda’s value and how to use it - Product decisions are faster and better aligned with strategy - Engineering execution improves due to clarity and prioritization - Sales cycles shorten because the product story is sharper - The platform feels simpler and more powerful, even as complexity grows What We’re Looking For You may be a fit if you: - Have led product for developer tools, marketplaces, or AI/ Cloud infrastructure products, exchanges - Have an engineering background. - Are deeply comfortable working with engineers and technical customers - Are a strong systems thinker who enjoys hard tradeoffs - Thrive in zero-to-one and one-to-scale environments - Are opinionated, but evidence-driven - Have experience supporting enterprise or developer GTM motions Not a Fit If You - Primarily manage process or backlogs - Have never been an engineer - Are uncomfortable engaging directly with customers - Optimize for feature count instead of outcomes - Need a large org or perfect data to move forward 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.

VP of Engineering Location: North America Remote / San Francisco, CA · 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 a VP of Engineering to lead the technical organization behind Andromeda’s platform and operations. This is a builder–operator role, not a pure people-management role. This is a change leadership role, not a “scale what already works” role. Our platform works, but it’s held together with speed and hustle, not systems and automation. Your job is to introduce the structure we need to scale, and do so without alienating a high-performing team or grinding the business to a halt. That’s a hard balance. It requires technical depth and organizational patience. If you succeed here, you will help define how AI compute is bought, sold, and operated at scale. You sit at the intersection of: - Product and platform development - Customer solutions and support - Provider onboarding and lifecycle management - Enterprise security and compliance - Technical credibility with customers, partners, and OEMs Where We Are Today We’re a fast-moving team that has shipped a working platform in a compressed timeline and achieved hundreds of millions of dollars of revenue. We’ve prioritized speed and iteration over process and documentation, and that’s been the right tradeoff to get here. But we’re approaching an inflection point. We have real technical debt, operational gaps, and scaling constraints that need to be addressed. The challenge is doing this without grinding the business to a halt or alienating a high-performing team that’s built something real and valuable. You’ll inherit a team that operates with high trust, informal communication, and a bias toward building. They’re skeptical of heavy process, because they’ve seen it slow things down elsewhere. Your job is to earn their trust, then introduce the systems and structure we need to scale, at a pace the organization can metabolize. What You’ll Own 1. Build the Platform (Hands-On Where It Matters) You own the architecture, development, and operation of: - Andromeda Cloud – Customer-facing experience for provisioning and managing workloads - Andromeda Rails – Intelligence layer for workload matching, monitoring, utilization, and SLA enforcement - Andromeda OS – Supply-side system for onboarding, benchmarking, monitoring, and monetizing GPU infrastructure Success looks like a world-class developer experience, frictionless supply onboarding, and automated matching between the two. 2. Own Customer Solutions and Support Engineering is customer-facing at Andromeda. You are accountable for: - Platform stability, performance, and uptime - Incident response, observability, and post-mortems - DevOps and SRE excellence - Turning customer pain into fast product improvements This is about clear ownership and fast response—not heavy process. 3. Be a Technical Partner to Revenue Engineering is a core revenue enabler. You will: - Support large, complex, high-stakes deals with deep technical credibility - Translate customer needs into concrete architectures - Build tools, benchmarks, demos, and POCs that accelerate sales - Equip GTM teams with accurate technical materials and guardrails - Close the loop between the field and the roadmap You’ll regularly engage with senior technical leaders at AI labs, enterprises, OEMs, and cloud providers—and you must hold your own. 4. Build the Engineering Organization (Without Bureaucracy) You will build a small, elite, high-trust engineering team. That means: - Hiring exceptional engineers with strong judgment and ownership - Putting the right people in the right seats - Setting clear priorities and technical direction - Avoiding premature process while enforcing accountability This is not a place for bureaucracy, politics, or ego. 5. Own Security and Compliance You are the executive owner of platform trust. You will: - Lead SOC 2 Type II and ISO readiness and certification - Define security architecture across platform, infrastructure, and data - Manage third-party risk and vendor security - Support enterprise and government procurement - Build a compliance roadmap that scales without slowing innovation How You’ll Approach Change - You will not walk in and propose pausing product development. You will not propose hiring 15 people in month one. You will not present a 90-day transformation plan in your first week. - Instead, you will: - Focus on adding value and earning trust/ credibility quickly within the first few weeks of joining. - Spend a large block of your time in the first 30 days learning the business, team, and building relationships. - Introduce process/ structure/ hiring plans incrementally, with clear rationale and team input What Success Looks Like in Year One - You are deeply trusted by the engineering team - You have a strong grasp of the product, market, and system - The platform is stable, performant, and scaling with demand - Customer experience is reliable and responsive - Supply onboarding is increasingly automated - Sales closes larger, more complex deals faster with strong technical backing - The engineering org is aligned, energized, and executing - SOC 2 Type II and ISO are complete or well underway What We’re Looking For You may be a fit if you: - Are extremely interested in, excited about, and familiar with modern AI infrastructure - Are a senior engineering leader who still goes hands-on when needed - Have architected, built, and operated infrastructure or developer platforms - Are a strong systems thinker with sound judgment under ambiguity - Are comfortable in zero-to-one and one-to-scale environments - Are credible with customers, partners, and senior technical stakeholders - Have experience with reliability-critical systems (infra, SRE, networking) - Have exposure to enterprise security and compliance Not a fit if you: - Lead with authority before earning trust - Move faster on org change than relationship building - Need large teams, lots of meetings, and heavy process to feel effective - Delegate design / architecture instead of owning it - Avoid customer-facing responsibility - Prefer planning over shipping What’s Hard About This Role - The team has shipped a lot with informal processes. They’re proud of it, and they should be. But they’re also skeptical of “process people.” You’ll need to earn the right to introduce structure for us to move beyond 0 – 1, so we can move to 1 - 10. - Some of the changes we need require cultural shifts, not just technical ones. You’ll need to be a change agent, not just an architect. - Leadership is deeply involved in the business and has strong opinions. You’ll need to influence through alignment, not unilateral authority. Major decisions–hiring plans, process changes, team structure–require buy-in before execution. 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.

Infrastructure Manager Location: North America Remote / San Francisco · 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 Opportunity We're hiring a Infrastructure Manager to accelerate supply and demand matching on our platform. This is an Individual Contributor role reporting to the Head of Infrastructure. The Infrastructure team sits at the core of our infrastructure. We're responsible for acquiring and facilitating compute resources across the company, working closely with compute providers, sales, and technical teams to match compute supply with demand. Today we have already established the fundamental layer of capacity with providers. As we scale, we are building the next layer—widening our network and liquidity, deepening the scope of our services, and accelerating our growth. What You'll Do • Match incoming leads from our sales team with internal capacity and external capacity in the market • Maximize utilization of our compute resources • Source and onboard new compute suppliers across the globe • Source capacity based on customer needs and market trends • Solve customer and supplier problems in a fast-moving, dynamic market • Understand technical and commercial differences between suppliers to optimize our capacity funnel • Develop a proactive compute strategy informed by market intelligence • Negotiate cost with suppliers and other vendors • Create and implement processes around capacity planning What We're Looking For • 2+ years in cloud sales, GPUs, data centers, or a related field • Existing network of contacts in the compute market (providers, brokers, or buyers) • Deep understanding of the GPU compute market—what drives supply and demand • Strong written and verbal communication across technical and commercial stakeholders • Sound judgment in decisions that directly impact revenue and cost • Comfortable operating in ambiguity • Self-directed and energetic, able to operate autonomously while collaborating cross-functionally • Bias toward action in a fast-paced environment Why You'll Love It Here - Impact: Be in a critical team unlocking revenue for the wider company - Real business: Meaningful revenue, complex transactions, and tangible impact - High-growth environment: Get in early at a company in a massive market - Ownership: Direct line to leadership and influence over how we scale - 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.

Solutions Engineer Location: North America Remote / San Francisco · 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 — a marketplace that moves the infrastructure and workloads powering AGI not dissimilar to the flows of capital in the world's financial markets. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. About the role We’re a seed-stage AI infrastructure startup powering large-scale training and inference for frontier labs, AI-native startups, and enterprises. We’re hiring a Sales Engineer (SE) to lead technical discovery, run world-class demos and POCs, and partner with Sales to drive successful evaluations and expansions across strategic accounts. This is a pre-sales-forward role for someone who can translate customer needs into crisp technical validation, build trust with executives and engineers, and create a repeatable technical sales motion across our stack (hardware + software). What you’ll do - Partner with Sales to qualify opportunities, lead technical discovery, and shape evaluation plans tied to customer success criteria. - Design and deliver compelling demos of our full stack—tailoring messaging for both technical and executive audiences. - Own the technical POC process: define scope, success metrics, architecture, timeline, and stakeholder alignment; ensure clean handoffs into production. - Build strong relationships with customer stakeholders, including engineering leaders, platform teams, and security/infra owners. - Translate technical requirements into solution designs that map directly to business outcomes (latency, throughput, cost, reliability, security). - Produce high-quality enablement assets (demo environments, evaluation playbooks, reference architectures, FAQs) to scale the team’s effectiveness. - Provide high-signal feedback to Product/Engineering/Research based on recurring objections, feature gaps, and competitive dynamics. What we’re looking for Minimum qualifications - 5+ years in a customer-facing technical role, including 2+ years in a pre-sales function (Sales Engineer, Solutions Architect, etc.). - Proven ability to run technical evaluations end-to-end and influence outcomes in complex sales cycles. - Excellent communication skills: can explain infrastructure and AI concepts clearly to both technical and non-technical audiences. - Strong knowledge of AI/ML infrastructure and GPU-based systems, including how they integrate into HPC environments. - Strong understanding of training, fine-tuning, and inference for open-source LLMs. - Proficiency in Python and JavaScript, with experience building prototypes on API platforms. - Familiarity with Kubernetes, SLURM, Docker/containers, and infrastructure automation/IaC (e.g., Ansible). - High ownership, comfort in ambiguity, and strong prioritization across multiple deals and customer threads. Nice to have - Experience selling or supporting AI infrastructure products (compute, orchestration, model serving, observability). - Experience with performance benchmarking, cost modeling, and evaluation frameworks for GenAI systems. - Prior work at a fast-moving startup with a “build the plane while flying it” mentality. What success looks like - POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI. What success looks like - POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI - Sales cycles accelerate through clear technical validation and strong stakeholder trust. - Your demos and enablement assets become repeatable foundations for the broader go-to-market team. Why join us - Front-row seat to the AI wave: support customers building and deploying frontier-scale systems. - Direct impact on revenue: you’ll be core to how we win and expand strategic accounts. - Build the SE motion: help define the playbooks, artifacts, and technical sales approach as we scale. 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.

Account Executive Location: Global Remote (US Hours) / San Francisco · Full-Time Travel: Up to 35% 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 — a marketplace that moves the infrastructure and workloads powering AGI not dissimilar to the flows of capital in the world's financial markets. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. About the role We’re an early stage infrastructure startup powering large-scale training and inference for frontier labs, AI-native startups, and enterprises. We’re looking for an Account Executive to own and grow relationships with high-priority AI-native customers. This role is built for someone who thrives in fast-moving, technical sales environments and can operate as a strategic partner to sophisticated buyers. You’ll work closely with Solutions Engineering, Product, and Leadership to help customers secure and scale the infrastructure they need for training runs, inference deployments, and new product launches. Responsibilities - Manage a sales pipeline and forecast revenue effectively, with strong discipline around deal progression, qualification, and close planning. - Own the full sales cycle for AI-native accounts—from outbound prospecting and first meetings through technical validation, commercial negotiation, and close. - Interact with prospects and customers via Zoom, phone, and email with a high attention to customization, speed, and detail. - Consistently achieve quarterly and annual revenue quotas across new logo and expansion opportunities. - Diligently update and maintain clean pipeline data in CRM, including next steps, stakeholders, technical requirements, and forecast accuracy. - Quickly learn and deeply understand our infrastructure stack (hardware + software), communicate our value proposition clearly, and handle objections in competitive situations. - Develop a deep understanding of customer goals, pain points, and timelines (e.g., fundraising milestones, model training schedules, product launches, capacity constraints) and communicate priorities across the company. - Partner closely with Solutions Engineers to run technical evaluations, demos, and POCs that align to customer success criteria. - Build trusted relationships with technical and executive stakeholders, including founders, infrastructure leaders, ML engineers, and finance/procurement teams. - Develop a deep understanding of target markets and industry dynamics, including GPU supply/demand trends, model lifecycle needs, and competitive infrastructure options. - Travel up to 35% to meet customers and prospects, attend industry events, and participate in on-site meetings. What we’re looking for Minimum qualifications - 5+ years of quota-carrying closing experience in a B2B sales role (Account Executive or similar), with a strong track record of exceeding targets. - Experience selling into technical buyers (engineering, infrastructure, platform, ML/AI teams) in a complex sales environment. - Ability to run a consultative sales process, uncovering customer needs and mapping them to technical and commercial solutions. - Excellent written and verbal communication skills, with strong attention to detail and executive presence. - Strong operational rigor in pipeline management, forecasting, and CRM hygiene. - Ability to operate in a fast-paced startup environment with ambiguity, urgency, and frequent context switching. - Strong sense of ownership and bias for action. Preferred qualifications - Experience selling AI/ML infrastructure, cloud infrastructure, GPUs, HPC, developer platforms, or adjacent technical products/services. - Familiarity with AI-native customer workflows, including training, fine-tuning, and inference for LLMs and generative AI applications. - Experience working with customers on time-sensitive compute decisions tied to funding rounds, product launches, or major training runs. - Comfort partnering with technical teams on demos/POCs and translating technical outcomes into business value. - Prior experience in a high-growth startup or zero-to-one go-to-market environment. What success looks like - You build a high-quality pipeline of AI-native opportunities and maintain strong forecast accuracy. - You consistently close and expand strategic accounts by aligning our platform to customer technical and business priorities. - Customers trust you as a credible partner who understands their urgency, constraints, and roadmap. - You help establish a repeatable AI-native sales motion and provide market feedback that sharpens our positioning. Why join us - Massive market pull: demand for high-performance AI infrastructure continues to accelerate. - High impact: you’ll directly shape how top AI-native companies buy and scale compute. - Build from zero-to-one: help define the sales motion, playbooks, and customer strategy at an early stage. - Cross-functional leverage: work closely with technical, product, and leadership teams on strategic deals. 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.