Solutions Engineering (Remote)

Solutions Engineer
North America Remote / San Francisco · Full-Time

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.

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).

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.

Build strong relationships with customer stakeholders, including engineering leaders, platform teams, and security/infra owners.

Produce high-quality enablement assets (demo environments, evaluation playbooks, reference architectures, FAQs) to scale the team’s effectiveness.

5+ years in a customer‑facing technical role, including 2+ years in a pre‑sales function (Sales Engineer, Solutions Architect, etc.).

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.

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.

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

Your demos and enablement assets become repeatable foundations for the broader go‑to‑market team.

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.

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.

#