Andromeda Cluster - Solutions Engineer
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 • 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. • What success looks like • POCs convert reliably because evaluations are well-scoped, technically credible, and • tied to customer ROI. • 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.
Responsibilities
• 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.
Benefits
• ● High-growth environment: Get in early at a company at the center of the AI infrastructure boom • High-growth environment: • ● Ownership: First HPC Architect for the solutions engineering team, you’ll get to build this function from the ground up • Ownership: • ● Competitive compensation: + meaningful equity • ● Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO
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