Principal Product Manager (AI/MCP)

Location: United States (Remote); Texas and Virginia are listed as locations.

Compensation: $160,000–$200,000 per year.

Company

Global software solutions support not-for-profit and membership organizations through engagement management, learning management, application and review, mobile, and related ecosystem products.

What you will do

• Define the platform and ecosystem vision across APIs, integration services, developer experience, shared identity and authentication, extensibility, and AI-ready capabilities, with Model Context Protocol (MCP) as a strategic priority.
• Own the roadmap and business use cases for MCP-enabled access, including AI agent interoperability, secure tool and resource exposure, permissions, governance, and developer and partner adoption.
• Prioritize platform investments based on customer needs, partner demand, implementation friction, cross-sell enablement, and measurable business impact.
• Partner with Engineering on feasibility, security, standards, reliability, protocol implementation, and delivery while Engineering owns technical architecture.
• Define shared capabilities for multiple portfolio products and third-party AMS and adjacent-system integrations.
• Establish developer and partner experience requirements, platform metrics, discovery practices, business cases, and build-buy-partner recommendations while coordinating with Partnerships, Security, Cloud/DevOps, Design, and product teams.

Requirements

• 8+ years of product management experience, including ownership of B2B SaaS platforms, APIs, developer products, or integration ecosystems.
• Demonstrated success translating technical platform capabilities into customer adoption, partner value, or revenue outcomes.
• Strong fluency in API products, identity concepts, integration patterns, developer experience, and enterprise SaaS interoperability.
• Practical experience shipping AI-enabled platform integrations and agent or tool connectivity, including secure data access, authorization, interoperability, and the evolving AI developer ecosystem.
• Hands-on experience with MCP servers or clients, agent tool-use ecosystems, AI integration frameworks, or comparable emerging standards.
• Excellent prioritization and executive communication skills, including balancing shared-platform needs across multiple product teams.
• Ability to partner credibly with engineering architects without confusing product strategy with technical architecture ownership.
• Experience in association technology, enterprise applications, CRM/AMS ecosystems, or acquired multi-product software portfolios.
• Experience with partner marketplaces, integration hubs, iPaaS, or developer communities.

Culture & Benefits

• Employee-first environment focused on collaboration and continuous improvement.
• Paid time off, volunteer time off, and study leave.
• Medical, dental, vision, life, AD&D, flexible spending, and healthcare savings benefits.
• Wellness benefits, employee assistance program, and a 401(k) retirement plan with discretionary match.
• Professional growth and development opportunities.
• Hybrid remote work.