Solutions Engineer – Public Sector

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee technical assessments and demonstrations of the Domino platform for clients within the Department of Defense, civilian agencies, federally funded research and development centers (FFRDCs), and major defense contractors.

• Create and implement proof-of-concept deployments customized to each client's environment and mission objectives, highlighting Domino’s integration with their data science workflows and infrastructure.

• Work alongside account executives to develop solution architectures that align with federal security and compliance regulations (e.g., FedRAMP, IL5).

• Build and sustain reusable demonstration environments and technical assets that expedite future sales processes.

• Promote post-POC adoption readiness by collaborating with Customer Success and Solutions Architects to guarantee a seamless transition into deployment.

• Success will be measured by improved technical win rates, shorter closing times, and enhanced adoption in key government accounts.

⛳️ Requirements

• Security Clearance: This role necessitates an active U.S. Secret Security Clearance (U.S. Citizenship required), with the capability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (after commencement). A U.S. Security Clearance that has been active in the last 24 months is regarded as active.

• Demonstrated success in pre-sales or solutions engineering, preferably in support of enterprise software or AI/ML platforms. This experience does not have to be with a software vendor; equivalent solution engineering roles as an internal consultant or developer may also be relevant.

• Experience engaging with U.S. public sector clients, particularly within federal agencies, defense, or national laboratories — with a solid understanding of their procurement processes, compliance requirements, and security frameworks.

• Proven history of leading successful technical evaluations or pilots that led to multimillion-dollar enterprise or government software contracts.

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

• Expertise in Python, R, and contemporary data science / machine learning tools.

• Knowledge of containerization (Docker, Kubernetes), cloud platforms (AWS GovCloud, Azure Government, GCP), and networking principles.

• Comprehension of the complete AI lifecycle, from experimentation through to production.

🏝️ Benefits

• Equity

• Company bonus or sales commissions/bonuses

• 401(k) plan

• Medical, dental, and vision benefits

• Wellness stipends