Staff Solutions Engineer, Public Sector

Twelve Labs is pioneering the development of advanced multimodal foundation models for video understanding. The Staff Solutions Engineer will support US public sector customers by deploying video analysis solutions and ensuring technical success in government operations.

Responsibilities:

• Deploy Video Understanding Solutions in Government Environments
• Embed directly with federal, state, and local government customers to understand their video analysis workflows, pain points, and operational requirements
• Design and implement video understanding solutions using TwelveLabs' platform (semantic search, scene detection, object tracking, activity recognition, summarization) on government networks
• Deploy our multimodal AI models in AWS GovCloud, Azure Government, FedRAMP environments, classified networks, and on-premises secure facilities
• Build custom pipelines integrating TwelveLabs APIs with government systems like Palantir Foundry, Salesforce, SharePoint, and agency-specific platforms
• Serve as the primary technical point of contact for your assigned customers—you own their success
• Rapidly prototype solutions using real customer data and operational requirements
• Translate mission needs into technical implementations, whether that's building video search interfaces, automated monitoring workflows, or content analysis systems
• Troubleshoot complex production issues in secure environments and maintain high system availability
• Manage engagement post deployment in air-gapped networks, classified systems, and secure facilities
• Prepare and deliver security documentation for ATOs (Authority to Operate), CTFs (Certification to Field), and RMF compliance
• Work within NIST, FedRAMP, FISMA, and federal security frameworks
• Interface with government security teams, ISSOs, and AOs to ensure compliant deployments
• Bring field learnings back to product and engineering teams to shape the roadmap
• Identify patterns across customer deployments that can be productized into platform features
• Contribute to internal tooling, deployment automation, and reference architectures
• Collaborate with ML engineers to optimize model performance for government use cases
• Build trusted relationships with government program managers, technical leaders, and end users
• Present technical solutions to senior government leadership and agency stakeholders
• Understand customer missions deeply enough to propose solutions they didn't know were possible
• Represent TwelveLabs at government conferences, industry days, and agency briefings

Requirements:

• Ability to attain, or already hold a TS/SCI clearance
• Must be a US Citizen and eligible to maintain clearance
• Willing to work on-site at customer locations in DC/VA/MD area (up to 40-60% of time)
• Comfortable working in SCIFs and other secure facilities
• BS degree or higher in Computer Science, Engineering, Mathematics, or related technical field or equivalent experience
• 3+ years of software engineering, ML engineering, or technical solutions experience
• Strong coding ability in Python, or similar languages
• Experience with cloud platforms (preferred: AWS. acceptable: Azure, GCP) and containerization (Docker, Kubernetes)
• Working knowledge of APIs, microservices, and modern software architecture
• 1+ years deploying or operating software in government networks (classified or unclassified)
• Familiarity with federal security frameworks (RMF, NIST 800-53, FedRAMP, FISMA, STIGs)
• Understanding of government procurement, workflows, and operational environments
• Technical breadth: Can quickly learn new technologies, frameworks, and customer systems
• Customer obsession: Genuinely curious about understanding mission problems, not just deploying software
• Ownership mentality: Takes full responsibility for customer outcomes—no 'not my job' mindset
• Execution speed: Thrives in fast-paced environments and ships working solutions quickly
• Communication skills: Can translate between technical implementation and mission impact
• Adaptability: Comfortable with ambiguity, changing requirements, and evolving customer needs
• Experience with computer vision, video processing, or multimodal AI systems
• Background in video analysis, surveillance systems, or multimedia intelligence
• Familiarity with GPU infrastructure, model serving (TensorRT, vLLM, Triton), or ML deployment
• Experience with GitOps, Infrastructure as Code (Terraform), or CI/CD in secure environments
• Previous work with Palantir Foundry, Elasticsearch, or government data platforms
• Knowledge of video codecs, streaming protocols, and large-scale media processing
• CompTIA Security+ or other relevant certifications
• Experience in startup or fast-moving technology environments
• Background as a Forward Deployed Engineer, Solutions Engineer, or Technical Account Manager