At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang, and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
As part of our Government pod, you'll help deliver TwelveLabs’ video-language models (Pegasus and Marengo) and our indexing and agentic platform into highly protected GovCloud or fully air-gapped deployments. The work blends deep engineering with security and compliance: designing to the FedRAMP and Department of Defense Cloud Security Requirements Guide (DoD SRG) Impact Levels. You’ll build for constrained networks & hardware, rigorous supply-chain practices, and high-reliability operations. This role requires eligibility for a US security clearance; active clearances are a plus.
We’re looking for a Full Stack Engineer with strong backend expertise and solid frontend skills to join our team. You’ll play a key role in designing, building, and scaling systems that power our platform end-to-end — from robust APIs and data pipelines to intuitive user interfaces.
Backend Systems & APIs : Design and implement scalable RESTful APIs (OpenAPI-compliant) that power features such as indexing, search and video analysis, integrating with model inference pipelines.
System Architecture : Architect and optimize high-throughput, service-oriented backend systems for enterprise-grade SaaS to ensure low latency, high availability, and scalability.
Frontend Development : Design and develop responsive, high-performance frontend applications using modern frameworks (React, Next.js), ensuring seamless integration with backend services.
Cross-Functional Collaboration : Partner with Machine Learning engineers, Infrastructure Engineers and Forward Deployed Engineers to deliver end-to-end solutions, ensuring smooth integration between backend systems, AI pipelines, and user interfaces.
Quality & Standards : Drive adherence to coding standards, best practices, and optimization techniques across the stack, delivering high-quality, reliable, and maintainable systems.
Required Experience
6+ years of professional full stack software engineering experience building applications and tools for government customers, with features such as auditable workflows, secure authentication, and role-based access controls.
Backend: Deep knowledge of service-oriented architecture (SOA), RESTful APIs, microservices, and distributed systems. Strong understanding of scalable database design (relational and NoSQL).
Frontend: Experience with modern frontend frameworks, including React, Next.js, React Query, and TypeScript. Experience building responsive UIs using CSS frameworks (Tailwind) and component libraries (Material UI).
Infra: Familiar with Docker, Kubernetes, and infrastructure scaling. Exposure to IaC tools (ex. Terraform), and observability tools (ex. Prometheus, Grafana).
Government & Security-Specific Expertise: Experience deploying with GovCloud or air-gapped environments. Familiarity with RBAC, LDAP, and government SSO standards. Eligibility for U.S. Security Clearance .
Collaboration & Mindset
Strong analytical, problem-solving, and first-principles thinking for tackling complex technical challenges.
Exceptional communication skills, able to clearly articulate technical concepts to technical and non-technical stakeholders.
Thrives in agile, fast-paced environments, demonstrating adaptability, resilience, and a strong ownership mindset.
Preferred Qualifications:
Active Government Security Clearance
Hands-on experience with video technologies (FFmpeg, AWS Media Services) and integrating backend systems with AI/ML pipelines for video analysis (e.g., object detection, motion tracking, summarization).
Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility.
Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
🤝 An open and inclusive culture and work environment.
🧑💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
🦷 Full health, dental, and vision benefits.
✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
🛂 VISA support (such as H1B and OPT transfer for US employees).
$150K – $170K • Offers Equity
The base salary & equity offered for this position will depend on several factors, including location, experience, qualifications and business needs which are assessed during the interview process.
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