Partnerships Engineer at Twelve Labs

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

8+ years of experience as a technical pre/post Solutions Architect (Startup experience is a big plus)
A real passion for AI and a strong desire to become an expert on the applications of large visual-language models (ML experience is a plus)
Excellent communication skills and technical chops to seamlessly toggle between presenting to customer stakeholders and whiteboarding with technical audiences
Strong knowledge of HTTP, JavaScript, Web SDKs, and APIs, with the ability to comfortably implement software prototypes leveraging APIs from scratch
Strong market awareness, with the ability to gather, filter, and process complex market (industry, customer, prospect) intelligence
High tolerance for ambiguity in an early-stage startup environment
Deep understanding of cloud and data infrastructure and the points of leverage for video
Comfortable leading conversations with customers, naturally curious about their business, and able to design and execute experiments demonstrating transformative business values

Responsibilities

Work closely with Product and Engineering leaders within partners’ services teams to find high-leverage and customer-impact ways to integrate TwelveLabs models
Run enablement sessions for cloud infrastructure partner’s solutions architect teams to build with the TwelveLabs APIs in customer environments
Develop and execute programs with partners that accelerate adoption, partnering closely with partners’ GTM organization to scale best practices and sales plays globally
Inform the long-term product roadmap by merging customer and partner feedback
Present to large groups of partners and customers at conferences and partner engagement events to drive adoption of TwelveLabs APIs
Write blog posts and build architectures to expand thought leadership in the AI and video space
Build proof-of-concept integrations to kickstart and inspire engineering work with partners
Work closely with Twelve Labs’ leadership to develop growth plans, pricing, and long-term roadmaps with strategic partners to materially impact growth
Monitor the industry landscape (people, competitors, potential partners) daily to contribute to GTM strategy and playbook
Provide input to Twelve Labs’ product team on features to prioritize

Skills

API Integration

Cloud Infrastructure

Data Infrastructure

Video Processing

Solution Architecture

Product Management

Pre-Sales Engineering

Post-Sales Engineering

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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