Technical Sales Lead

Technical Sales Lead

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 success looks like

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

What success looks like

• 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.

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