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Product Manager For Ai Productss

Needs to connect AI agents to internal tools securely without exposing sensitive data, while maintaining visibility into model interactions.

Needs to securely integrate AI models with enterprise tools and data while maintaining governance and auditability.

Designs and deploys intelligent pipelines; uses HCEL and Agent Runtime to orchestrate complex AI workflows with minimal glue code.

Guillaume's experience in deep learning, domain adaptation, and certified medical AI makes him a strong collaborator for research teams needing practical deployment expertise.

Requires a unified API to quickly build and deploy AI features without managing individual provider integrations.

Need to experiment with scaling techniques and evaluate agentic tasks using orchestrated test-time compute.

Access a wide range of models for experimentation and production without high costs.

Oversees AI agent deployments and needs automated evaluation, guardrails, and observability to maintain quality and track team productivity across multiple projects.

Uses Deeplake for efficient data management and streaming to GPUs, and Refinery for automated model improvement.

Build and deploy production-ready AI agents with type safety, evals, and observability.