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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. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. 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.
Solutions Engineer
Location
United States
Posted
105 days ago
Salary
0
No structured requirement data.
Job Description
Solutions Engineer
Andromeda Cluster
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. - 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. 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. Requirements - 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. Benefits - 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.
Job Requirements
- 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.
- 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.
Benefits
- 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.
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