Senior Product Manager

Gravitee

. Own the roadmap for the MCP or Agents module of AI Agent Management .

Posted 10/15/2026full-timeDenver • Colorado • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Product Management within the Enterprise software space, with a strong technical background in API infrastructure and developer tools. Capable of balancing user needs, technical feasibility, and commercial priorities while effectively communicating complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

Product ManagementAPI InfrastructureModel Context ProtocolCustomer-Facing Presentation SkillsMulti-LLM Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API ManagementREST APIsIntegration PatternsMCP ServersAgentsAI CapabilitiesDeveloper ToolsSolutions EngineeringCloud-Native PlatformsOpen Source

Soft Skills

CollaborationCuriosityAdaptabilityOwnershipContinuous Improvement

Industry Keywords

Enterprise SoftwareAI Agent ManagementAgent Tooling EcosystemSecurity and GovernanceCustomer Success

Tech Stack

Tools & technologies

CloudOpen Source

About the role

Key responsibilities & impact

Own the roadmap for the MCP or Agents module of AI Agent Management
Define and own the product roadmap for native MCP or A2A support across Gravitee's platform
Partner closely with an Engineering Manager and their pod through discovery, design, and delivery
Collect and prioritize customer needs from those building or adopting MCP servers and clients, or Agents and A2A
Prototype new capabilities using AI-assisted tools to validate ideas before 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 an action plan
Balance user needs, technical feasibility, and commercial priorities

Requirements

What you’ll need

Product Management in the Enterprise software space
Customer-facing presentation & communication skills
Strong technical background, ideally with experience in API infrastructure or developer tools
Comfortable communicating complex technical trade-offs to both engineers and business stakeholders
Working understanding of the 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
Direct experience building or integrating MCP servers or clients, and/or Agents (desired)
Background in solutions engineering, consulting, or customer success (desired)
Experience with multi-LLM or agent orchestration products (desired)
Familiarity with API gateway or API management products (desired)
Sensitivity to security and governance issues (desired)
Care deeply about quality, clarity, and impact
Curiosity, adaptability, and excitement about emerging technologies like AI
Ownership and follow-through
Collaboration, openness, and continuous improvement
Bonus experience with APIs, cloud-native platforms, AI-enabled systems, or open source

Benefits

Comp & perks

Competitive medical coverage
Pension / 401k program options
Stock options
25 days holiday + in-country national holidays
3 mental health days + wellness allowance
Your birthday off
Professional development budget
Hybrid work culture with hubs across regions
Quarterly team events + annual offsite at an exciting location
Meaningful, progressive, global company culture
Endless growth opportunities
Compensation up to $219,375 OTE