Solutions Engineer Job at Domino Data Lab

Job Description

Our Sales Engineering team is at the heart of transforming curiosity into confidence. We help prospects envision the full potential of our platform, guiding them from discovery to realization. Working closely with Enterprise Account Executives, our Sales Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer implementations. As a growing company, our Sales Engineers play a pivotal role beyond just sales—collaborating across Marketing, Product Management, and Engineering to bridge the gap between market needs and product innovation.

Job Responsibility

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

Requirements

Security Clearance: 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)
Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms
Experience with U.S. public sector customers, especially within federal agencies, defense, or national labs
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

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
medical, dental, and vision benefits
wellness stipends

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