
Artificial Intelligence • Enterprise • SaaS
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Series F on 2022-06
October 21

Artificial Intelligence • Enterprise • SaaS
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Series F on 2022-06
• 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. • Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key government accounts.
• 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). 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.
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success • We believe in individuals who seek truth and speak the truth and can be their whole selves at work • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
Apply NowOctober 21
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