Tech Product Manager, AI & Agents — Software Intelligence

Visa Hunt

France

Sur place

EUR 90 000 - 140 000

Plein temps

14 jours+

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Résumé du poste

CAST is seeking a Technical Product Manager – AI & Agents to own the product definition and roadmap for integrating CAST's platforms into the agentic AI ecosystem. You will define data exposure from MCP servers and shape how developers and AI agents consume it, enabling deeper integration across partners.

You will partner with hyperscalers and top system integrators to turn cutting-edge research into repeatable offerings, while shaping next‑generation retrieval that blends deterministic graphs

Qualifications

  • Hands-on background in software engineering or architecture.
  • Experience with agentic AI, LLM integrations, or developer tooling.
  • Ability to work across research, engineering, and commercial teams.
  • Fluent English. Our teams and partners are global.

Responsabilités

  • Own product definition and roadmap for integrating CAST platforms into the agentic AI ecosystem.
  • Drive MCP server & agentic integrations; decide data exposure and how agents consume it.
  • Manage hyperscaler partnerships with AWS and Google Cloud; turn research into repeatable offering.
  • Collaborate with GSI partners to understand market needs and frame product bets.
  • Define next-generation retrieval by combining deterministic graphs with semantic retrieval.

Connaissances

Software engineering
Architecture
Agentic AI
LLM integrations
Developer tooling
Cross-functional collaboration
Fluent English

Description du poste

CAST is seeking a Technical Product Manager – AI & Agents to own the product definition and roadmap for integrating CAST's platforms into the agentic AI ecosystem. You will define data exposure from MCP servers and shape how developers and AI agents consume it, enabling deeper integration across partners.

You will partner with hyperscalers and top system integrators to turn cutting-edge research into repeatable offerings, while shaping next‑generation retrieval that blends deterministic graphs

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