Field Application Engineer

Delos Data

Field Application Engineer handling technical pre-sales and post-sales for Delos Data's AI software products. Leading customer engagements and collaborating with engineering on deployment and support.

Posted 6/12/2026full-timePalo Alto • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

KubernetesLinuxPython

About the role

Key responsibilities & impact

Lead technical pre‑sales engagements for Nonstop AI ™ software products
Drive early‑access and production deployments
Provide hands‑on post‑sales support for customers running Delos Nonstop AI™ in production
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
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
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
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

Requirements

What you’ll need

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%)

Benefits

Comp & perks

Comprehensive health, dental, and vision coverage
FSA and retirement benefits
Influencing how Delos Data sells, deploys, and supports its software
Direct access to engineering leadership and a fast feedback loop from field to product
Hybrid work from our Palo Alto headquarters and a culture built on ownership and technical depth

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI infrastructure softwareKubernetesSlurmTinkerbellCanonical MaaSLinuxAPIsPythonBashGPU/XPU clusters

Soft Skills

communication skillscustomer-facingtechnical presentationsproblem-solvingcollaborationrelationship buildingtroubleshootingdocumentationescalation managementtechnical justification