Andromeda

Solutions Engineer

North America Remote / San Francisco, CA · Full-time

Sponsorship not specifiedDetected 148 days ago

JavaScriptPythonFull-Stack DevelopmentDockerKubernetesAnsibleMachine LearningSalesCustomer SuccessResearchCommunication

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.

Partner with Sales to qualify opportunities, lead technical discovery, and shape
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
Build strong relationships with customer stakeholders, including engineering
Translate technical requirements into solution designs that map directly to business outcomes (latency, throughput, cost, reliability, security).
Front-row seat to the AI wave: support customers building and deploying frontier-scale systems.
Build the SE motion: help define the playbooks, artifacts, and technical sales approach as we scale.
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.

5+ years in a customer-facing technical role, including 2+ years in a pre-sales function
Proven ability to run technical evaluations end-to-end and influence outcomes in
Proficiency in Python and JavaScript, with experience building prototypes on API

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.
Direct impact on revenue: you'll be core to how we win and expand strategic accounts.
Andromeda Cluster is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.

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.
Familiarity with Kubernetes, SLURM, Docker/containers, and infrastructure
High ownership, comfort in ambiguity, and strong prioritization across multiple deals and customer threads.
can explain infrastructure and AI concepts clearly to both technical and non-technical audiences.
automation/IaC (e.g., Ansible).
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.
POCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI.
What success looks like

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.

What We're Looking For
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 are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.

This listing is sourced directly from Andromeda's careers page and normalized into a canonical job model.