Field Application Engineer

Software Field Applications Engineer (FAE) Who We Are

We are a stealth mode startup building foundational technology to address performance, scalability, and resiliency challenges in large scale AI data center clusters. We are backed by top tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions.

We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously.

As a Software Field Applications Engineer at Delos Data, you will operate at the intersection of customers, engineering, and sales. You’ll lead technical pre‑sales engagements for our Nonstop AI™ software products, drive early‑access and production deployments, and provide hands‑on post‑sales support for customers running Delos Nonstop AI™ in production. With deployments underway at select customers and a growing public presence at events like NVIDIA GTC and Computex, we're hiring a Software FAE to be the technical face of Delos Data with our most demanding customers who are hyperscalers, neoclouds, and frontier AI Labs operating AI infrastructure at massive scale.

You will be the trusted technical partner for customers operating AI infrastructure at an extreme scale and the primary conduit for customer insights back into our product and engineering teams.

Technical Sales & Pre‑Sales

• Partner with sales and marketing team to lead technical discovery, solution design, and product demonstrations of Delos Data’s AI infrastructure software
• Own proof‑of‑concept, early‑access, pilot and production deployments end‑to‑end: scoping, success criteria, execution, and conversion to production
• Develop and deliver technical presentations, architecture proposals, and competitive evaluations for engineering and executive audiences
• Respond to RFPs/RFIs and build the technical justification that supports customer purchase decisions

Customer Support & Success

• Provide hands‑on post‑sales support for production deployments, including integration, troubleshooting, performance tuning, and escalation management
• Guide customers through software upgrades, cluster expansion, and new feature adoption
• Develop runbooks, integration guides, and best‑practice documentation tailored to customer environments
• Serve as the technical escalation point between customer operations teams and Delos’ engineering

Customer Engagement

• Build and maintain deep technical relationships with infrastructure, SRE, and platform engineering teams at hyperscale, neocloud, and AI labs customers
• Navigate the unique requirements of these environments: multi‑tenancy, custom hardware fleets, extreme scale, strict SLAs, and bespoke integration needs
• Align customer deployment milestones and operational needs with Delos product release cycles

Product Feedback & Field Enablement

• Channel structured field feedback for feature gaps, bugs, competitive intelligence into product and engineering
• Build demo environments, reference architectures, and technical collateral for the sales organization
• Represent Delos Data at industry events, customer briefings, and technical workshops

• 5+ years in a customer‑facing technical role (FAE, sales engineer, solutions architect, or TAM) for infrastructure software
• Proven experience supporting or selling AI infrastructure software spanning orchestration, telemetry, analytics, and management — e.g., Kubernetes, Slurm, Tinkerbell, Canonical MaaS, observability stacks, or infrastructure management platforms
• Direct experience working with hyperscalers, neoclouds, AI labs as customers, with an understanding of their procurement processes, technical expectations, and operational…