About BellagentBellagent 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, enabling 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 OverviewWe 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.
ResponsibilitiesPlatform 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
RequirementsBackground & 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