Solutions Engineer

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.

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.

Requirements

• 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.
• POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI.

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.

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.