Product Scientist, Embeddings – Search

Twelve Labs

Product Scientist focusing on embeddings and search to enhance video understanding at Twelve Labs. Collaborating with research and engineering to define product strategy and roadmap.

Posted 7/1/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Set the product strategy and roadmap for Marengo and Search, deciding what gets built, what gets deferred, and what gets killed
Partner with the Marengo research team on model quality: eval rubrics, training data investments, release readiness
Partner with the GTM on launch planning, execution, and enablement including post launch monitoring
Spend real time with customers and field teams understanding where retrieval fails in production and anticipating what they will need next
Define the quality bar for retrieval and hold it across every release and every deployment shape
Own how embeddings and search get deployed across managed SaaS, customer hosted environments, and AWS Bedrock
Stay sharp on the competitive landscape

Requirements

What you’ll need

You have a research, ML, or engineering background with real work in retrieval, embeddings, vector search, or multimodal models, and you moved toward product because you care more about what gets built and why
You have been a senior solutions engineer or forward deployed engineer with deep ML understanding, and you have been the de facto product owner on the hardest customer problems whether or not the title was yours
You can go deep on retrieval architecture tradeoffs with a researcher in the morning and frame a product decision for a GTM team in the afternoon, and both conversations are substantive
You have strong opinions about what makes search work in production and can back them with evidence, not intuition
You have strong opinions on how to best serve humans and agents as distinct customer segments
You see what customers need today and can extrapolate what they will need next. You use current demand as a foundation for roadmap decisions, not just a backlog.
You have shipped product with strong enterprise and PLG (Product Led Growth) motions attached.

Benefits

Comp & perks

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
Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

RetrievalEmbeddingsVector SearchMultimodal ModelsProduct ManagementData Evaluation RubricsLaunch PlanningPost Launch MonitoringDeployment in AWS BedrockQuality Assurance

Soft Skills

Customer EngagementSubstantive CommunicationProblem SolvingStrategic ThinkingCollaboration