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Role Description

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.

• 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.

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.

Requirements

• 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.

Benefits

• 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.