Twelve Labs

Technology

LeadProductManager,Embedding&Search

$200–215k San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Product Manager, Embedding & Search at Twelve Labs. Skills: Product strategy, Roadmap, Marengo, Search. Set product strategy for Marengo. Set product strategy for Search”

Industry & Context.

Technology
Problems you'll solve

Product decision framing; Retrieval architecture tradeoffs

Eligibility Requirements

Availability until 8pm PT, Two days onsite per week

What They're Looking For.

Must Have

Research background, ML background, Engineering background, Retrieval experience, Embeddings experience, Vector search experience, Multimodal models experience, Senior solutions engineer experience, Forward deployed engineer experience, Deep ML understanding, Product owner experience, Search production experience, Serve humans and agents, Shipped enterprise product, Shipped PLG product

Nice to Have

5 to 8 years experience, 3+ years shipping products, Embeddings integral to product, Vector search integral to product, Retrieval integral to product, Multimodal models experience, Video language models experience, Augment product development with AI tooling, Augment product releases with AI tooling, Working fluency in English, Working fluency in Korean

What You'll Do.

Set product strategy for Marengo

Set product strategy for Search

Set roadmap for Marengo

Set roadmap for Search

Decide what gets built

Decide what gets deferred

Decide what gets killed

Partner with research team on model quality

Partner with research team on eval rubrics

Partner with research team on training data investments

Partner with research team on release readiness

Partner with GTM on launch planning

Partner with GTM on launch execution

Partner with GTM on launch enablement

Monitor post launch performance

Spend time with customers

Spend time with field teams

Understand retrieval failures

Anticipate customer needs

Define quality bar for retrieval

Hold quality bar across releases

Hold quality bar across deployments

Own embedding deployment

Own search deployment

Stay sharp on competitive landscape

How You'll Work.

Team & Collaboration

Research team partnership; GTM partnership; Customer collaboration; Field team collaboration

Process & Methodology

Roadmap planning, Release management

Full Job Description

WHO WE ARE At Twelve Labs, 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. ABOUT THE ROLE Video is the richest and most complex data type in the world. TwelveLabs builds the foundation models and products that give machines genuine understanding of what is happening inside it. Marengo is our multimodal video embedding model. Search is the product built on top of it. They are the technical center of the platform: what customers deploy in production, what competitors are trying to replicate, and where some of the hardest product decisions live. You will own both. You set the strategy and roadmap for Marengo and Search. You work with the research team on what the model should learn, how to evaluate it, and when it is ready to ship. You work with customers and field engineers to understand where retrie

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