Solutions Engineer

Solutions Engineer 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 s ... (truncated, view full listing at source)