Product Manager, Government + Secure Deployment at Twelve Labs

San Francisco, California, United States

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$170,000 – $200,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Biotechnology, Government TechnologyIndustries

Requirements

Candidates should possess 5+ years of product management experience, with at least 2 years focused on government, regulated, or secure/on-premise product domains. Strong technical fluency in infrastructure, containerization, orchestration (like Kubernetes), and security/compliance frameworks is essential. Experience with government certifications such as FedRAMP, DoD IL, ITAR, or secure software supply chains is required, as is a track record of shipping infrastructure or developer-facing products in high-security or air-gapped environments. The ideal candidate thrives in zero-to-one product development scenarios.

Responsibilities

The Product Manager will define the strategy and roadmap for government and secure deployments, ensuring compliance, performance, and mission-readiness. This role involves partnering with research, infrastructure, and security teams to design deployment architectures for air-gapped and high-security environments. Responsibilities include collaborating with government stakeholders and system integrators to align product capabilities with operational needs, and establishing and tracking success metrics related to deployability, efficiency, and compliance benchmarks.

Skills

Product Management

Government

Secure Deployment

Roadmap Definition

Compliance

FedRAMP

DoD IL

ITAR

Air-gapped environments

On-premise deployment

High-security environments

Multimodal foundation models

Video language modeling

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$104.2MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine Learning, EducationIndustries

51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.

Rapid AI advancements require continuous innovation, straining resources.

Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.

Their technology transforms video content into vector representations for fast semantic search.

The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.

Recent $30 million funding enhances technology development and strategic partnerships.

Collaboration with cloud providers boosts scalability and efficiency of video processing.

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