Field Application Engineer

Responsibilities

• 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

Qualifications

• 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 scale
• Strong working knowledge of AI compute environments: GPU/XPU clusters, high-speed interconnects (InfiniBand/RoCE/Ethernet/NVLink), job scheduling, and inference/training workloads
• Hands-on proficiency with Linux, containers, APIs, and scripting (Python, Bash) for demos, integrations, and troubleshooting
• Excellent communication skills — able to whiteboard cluster architecture with SREs and brief senior infrastructure leaders with clarity
• Willingness to travel to customer sites and industry events as needed (typically 25–40%)

Preferred Qualifications

• Experience taking early-stage or pre-launch products into hyperscale accounts
• Familiarity with inference serving and performance optimization (e.g., KV-cache behavior, disaggregated serving, GPU utilization analysis)
• Background with observability stacks (Prometheus, Grafana, OpenTelemetry) and data pipelines for infrastructure analytics
• Prior experience at an AI infrastructure software vendor, GPU cloud provider, networking vendor, or hyperscaler

What We Offer

• Influence over how Delos Data sells, deploys, and supports its software
• Direct access to engineering leadership and a fast feedback loop from field to product
• Competitive salary and meaningful early-stage equity
• Comprehensive health, dental, and vision coverage, and retirement benefits
• Hybrid work from our Palo Alto headquarters and a culture built on ownership and technical depth

How To Apply

Submit your resume and a brief note describing a hyperscaler, neocloud or an AI lab engagement you led — what you sold or supported, the technical challenges involved, and the outcome. Compensation Target base salary for this role is $140,000–$180,000 per year + meaningful equity + benefits + 401k. Salary ranges are determined by role, level, experience, and location.