Technical Product Manager / Product Owner

ABOUT BELLAGENT

Bellagent is an enterprise-level AI agent platform built to automate everyday business operations with zero-touch integrations that connect instantly to more than 1,300 applications. Launched in 2025 by Proactifi Inc., and headquartered in Chicago, the platform is built for practicality with industry-leading compliance and security standards, the platform enables organizations to deploy AI agents without friction from day one.

Bellagent’s mission to make powerful, enterprise-level AI practical and accessible is helping businesses of all sizes operate smarter, serve customers better and compete in an AI-driven economy.

ROLE OVERVIEW

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.

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

What Success Looks Like

• A reliable, extensible MCP server powering Bellagent’s agent ecosystem
• A modular integrations platform that scales across use cases and customers
• Clear platform APIs and workflows that engineers and product teams can build on quickly
• Tight feedback loops and consistent, high-quality platform releases

Requirements

WHAT WE'RE LOOKING FOR

Background & Experience

• 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

Technical Depth

• 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

Operating Style

• 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