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Domino Data Lab · 2 months ago

Sales Engineer, Public Sector

United States

Full-time

Remote

Mid, Senior Level

Domino Data Lab builds software to assist AI-driven organizations in developing and operating advanced data science solutions. The Sales Engineer role involves leading technical evaluations, crafting product demonstrations, and collaborating with various teams to bridge market needs and product innovation.

AI InfrastructureAnalyticsArtificial Intelligence (AI)Big DataData MiningEnterprise ApplicationsEnterprise SoftwareMachine LearningSoftware

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead technical evaluations and demonstrations of the Domino platform for customers across the Department of Defense, civilian agencies, federally funded research and development centers (FFRDCs), and major defense contractors

Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure

Collaborate with account executives to craft solution architectures that meet federal security and compliance standards (e.g., FedRAMP, IL5)

Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles

Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment

Qualification

Pre-sales engineeringPythonAI/ML platformsU.S. public sector experienceTechnical evaluationsContainerizationCloud platformsCollaborationProblem-solvingGrowth mindset

Required

This position requires an active U.S. Secret Security Clearance (US Citizenship required), with the ability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (post start). A U.S. Security Clearance that has been active in the past 24 months is considered active

Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work

Experience with U.S. public sector customers, especially within federal agencies, defense, or national labs — understanding their procurement processes, compliance constraints, and security environments

Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise or government software deals

Experience working in complex, highly regulated IT environments, including hybrid or air-gapped systems

Proficiency in Python, R, and modern data science / machine learning tools

Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS GovCloud, Azure Government, GCP), and networking concepts

Understanding of the end-to-end AI lifecycle, from experimentation to production