Product Manager: AI Agents & API Governance

Gravitee; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Stock options

Hybrid work culture

Professional development budget

Competitive medical coverage

Pension / 401k options

Résumé du poste

Gravitee is seeking a Product Manager to own the roadmap for the MCP or Agents module of AI Agent Management. You will balance user needs, technical feasibility, and commercial priorities in a fast-evolving space, partnering with an Engineering Manager and their pod.

The role focuses on collecting customer needs for MCP servers/clients and Agents, prototyping AI-assisted capabilities, and presenting direction to customers and field teams.

Qualifications

• Product Management in the Enterprise software space
• Strong technical background in API infrastructure or developer tools
• Ability to explain complex trade-offs to engineers and business stakeholders
• Familiarity with Model Context Protocol, A2A, and the broader agent tooling ecosystem
• Good understanding of REST APIs and integration patterns
• Genuine curiosity about how AI capabilities are reshaping tool orchestration

Responsabilités

• Define and own the product roadmap for native MCP or A2A support across Gravitee's platform
• Work closely with Engineering Manager and pod through discovery, design, and delivery
• Collect and prioritize the needs of customers building or adopting MCP servers and clients, or Agents and A2A
• Prototype new capabilities using AI-assisted tools to validate ideas before committing engineering investment
• Present product direction directly to customers and prospects, often alongside field teams
• Track adoption and usage metrics for MCP / Agent capabilities and turn them into a clear action plan

Connaissances

Product Management

REST APIs

A2A

MCP

Security governance

Cross-functional collaboration

Description du poste

Gravitee is seeking a Product Manager to own the roadmap for the MCP or Agents module of AI Agent Management. You will balance user needs, technical feasibility, and commercial priorities in a fast-evolving space, partnering with an Engineering Manager and their pod.

The role focuses on collecting customer needs for MCP servers/clients and Agents, prototyping AI-assisted capabilities, and presenting direction to customers and field teams.