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Lead Product Manager, Embedding, Search
Twelve LabsLead Product Manager setting strategy for multimodal video embedding and search at Twelve Labs. Collaborating with research and engineering teams to drive product success in AI technology.
Posted 6/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $200,000 - $215,000 per yearWebsite
Tech Stack
Tools & technologiesAWS
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- 5 to 8 years of experience, though what matters is demonstrated capability, not tenure
- 3+ years of shipping products with a model related core
- Time at a company where embeddings, vector search, or retrieval was integral to the core product
- Experience with multimodal models and the operational cost of running them at scale
- Experience in video language models
- Experience augment product development and releases with modern AI tooling
- A large bonus if you have working fluency in English and Korean.
Benefits
Comp & perks- Full health, dental, and vision benefits
- Extremely flexible PTO and parental leave policy
- Office closed the week of Christmas and New Years.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product strategymodel quality evaluationtraining data managementlaunch planningretrieval quality definitionembeddings deploymentvector searchmultimodal modelsvideo language modelsAI tooling
Soft Skills
customer engagementcollaborationanticipation of needsmonitoringcommunication