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Domino Data Lab

Makes software for building AI at regulated firms

AI Solutions Engineer - Public Sector

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms; equivalent solution-engineering work internally or as a consultant developer may qualify.
  • Experience with U.S. public-sector customers, especially federal agencies, defense, or national laboratories, and understanding of their procurement processes, compliance constraints, and security environments.
  • A 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 and machine-learning tools.
  • Familiarity with containerization, including Docker and Kubernetes, cloud platforms including AWS GovCloud, Azure Government, and GCP, and networking concepts.
  • Understanding of the end-to-end AI lifecycle, from experimentation to production.
  • An active U.S. Secret Security Clearance, with ability to obtain a Top Secret/Sensitive Compartmented Information clearance and program access after starting. A U.S. clearance active within the past 24 months is considered active.
  • U.S. citizenship is required.

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, and major defense contractors.
  • Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing integration with their data science workflows and infrastructure.
  • Collaborate with account executives to craft solution architectures that meet federal security and compliance standards, such as FedRAMP and IL5.
  • Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles.
  • Drive post-proof-of-concept adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment.
  • Feed customer insights back to Product, Engineering, and Marketing to help shape the platform.

Desired Qualifications

  • Experience supporting enterprise software or AI/ML platforms is ideal.

About the Company

Domino Data Lab

Makes software for building AI at regulated firms

Domino Data Lab makes software that large companies and government agencies use to build and govern AI, with a focus on heavily regulated fields such as drug development, banking, and defense. Its platform, launched in 2014, was one of the first to package each data science project in a container, a sealed software setup, so results can be rerun exactly. Data scientists write code in Python, R, or SAS and train models on their company's own servers or any major cloud, while Domino logs each step so auditors can trace how a result was made. Customers pay subscriptions priced by the number of users and run Domino themselves or as a service Domino hosts. Domino was founded in 2013 and is based in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$226.6M
Headquarters
San Francisco, CA
Founded
2013

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