Technical Product Manager / Product Owner

Bellagent•Chicago, IL

10d

About The Position

We are looking for a Technical Product Manager / Product Owner to own the MCP server and integrations platform at Bellagent.ai. This role sits at the center of engineering, design, and business—turning strategy, user feedback, and technical constraints into shipped, high-impact platform capabilities. You will be directly responsible for defining, prioritizing, and executing the roadmap for Bellagent’s MCP server, integration framework, and modular agent infrastructure.

Requirements

Computer Science or equivalent technical background
Experience as a Technical Product Manager or Product Owner owning platform or infrastructure product
Startup experience in lean, agile environments with high ownership
Strong understanding of distributed systems and modern AI infrastructure
Comfortable working directly with engineers on architecture, APIs, and system design
Deep familiarity with:
MCP servers and agent runtime platforms
Modular and composable system design
Agentic and multi-agent AI workflows
Vector databases, embeddings, and RAG architectures
Memory layers and context management protocols
Cloud infrastructure (AWS, GCP, or Azure), including deployment, scaling, and observability
Highly execution-oriented with strong product judgment
Comfortable operating in ambiguity and defining structure where none exist
Clear, concise communicator with strong documentation habits
Organized, accountable, and bias toward shipping

Responsibilities

Platform Ownership (MCP Server & Integrations)
Act as Product Owner for the MCP server and integrations team
Own the vision, roadmap, and backlog for MCP services, memory/context layers, and integration infrastructure
Define standards for extensibility, reliability, and security across all integrations
Product Strategy & Prioritization
Prioritize platform initiatives balancing developer experience, system scalability, and business impact
Translate platform strategy into clear, executable epics, user stories, and acceptance criteria
Make informed tradeoffs in a lean, fast-moving startup environment
Execution & Delivery
Lead sprint planning, backlog grooming, and release management for the MCP and integrations roadmap
Drive end-to-end execution—from architecture definition through production rollout
Ensure platform features are production-grade, observable, and maintainable
Technical Collaboration
Partner closely with engineering to design modular, agentic AI systems
Bridge product intent with technical reality, ensuring clarity across teams
Participate deeply in architecture discussions around:
MCP server design and lifecycle management
Modular, composable integration frameworks
Agent orchestration and tool execution
Vector databases, embeddings, and retrieval strategies
Memory systems and context protocols
Cloud infrastructure and scalability
User Feedback & Iteration
Gather feedback from internal teams, customers, and developers consuming the MCP and integrations platform
Improve developer experience, documentation, and platform usability
Turn feedback into prioritized platform improvements
Cross-Functional Leadership
Collaborate with product, GTM, and customer teams to align platform capabilities with real-world use cases
Coordinate across a globally distributed engineering team, maintaining velocity and alignment