Product Manager, AI Entities

What you'll do

• Partner with ML and backend engineers to build scalable AI models, evaluations, pipelines, tools, and APIs.
• Set entity-quality and pipeline metrics; use performance and cost data to prioritize improvements.
• Work with product and downstream teams to address quality and coverage gaps and guide model, annotation, and infrastructure decisions.

What they ask for

• 5+ years of product management experience, including time at a high-growth startup (Series B–E).
• Experience building LLM/LMM-powered products or data infrastructure and understanding modern AI extraction and structured-data systems end-to-end.
• Technical fluency working with ML, backend, or data teams, including discussions of model performance, data pipelines, and system design.
• Analytical skills and experience using quality and operational metrics to make decisions.

Nice to have

• Experience with RAG, agentic systems, and/or LLM/LMM optimization.
• Familiarity with internal platforms or tools for product teams; B2B SaaS experience, especially with AI or data products.

Pay

$177,650 - $209,000 (USD; base salary)

Tools

RAG, LLM, LMM

AI focus

Build and manage AI extraction and data infrastructure, including models, evaluations, pipelines, deployment tools, and APIs that turn unstructured case materials into reliable structured entities.