Product Manager, AI Marketplace

About the role

The GAIKO team is building the A&M AI Marketplace, a centralized platform that transforms the AI tools, prompts, agents, and other AI products created across our practices into reusable firm-wide assets.

Responsibilities

• Own and evolve the Marketplace product roadmap, driving the platform from initial MVP through scaled self-service contribution and automated repository ingestion
• Define and track success metrics including monthly active users, asset reuse rates, time-to-publish, SLA compliance, and approval rates
• Manage the end-to-end asset review process, collaborating with asset curators, BU/Topic Leaders and representatives, and offshore support to ensure security and risk compliance, quality governance, and timely curation of contributed assets
• Develop and manage the asset maintenance process, including asset deprecation and archival policy, to ensure AI Marketplace asset library is relevant, non-duplicative, and continuously improving
• Manage, maintain, and evolve role-based permissions, firm-aligned taxonomy, and metadata standards that enable reliable search and discovery
• Develop and manage an incentive or contributor recognition model for asset submission
• Drive user adoption across practices and geographies through active engagement with BU representatives, communication, training, and a practitioner feedback loop
• Partner with UX design and development team to prioritize the platform backlog and translate practitioner needs into product requirements
• Engage the Operating Committee and firm leadership with clear, data-driven updates on platform performance and strategic direction
• Serve as the firm’s internal subject matter expert on the Marketplace, evangelizing the value of shared AI assets and reuse over bespoke builds

Qualifications

• 8+ years of product management experience, ideally in enterprise SaaS, knowledge management, or AI/ML tooling
• Demonstrated ability to define a product vision, build a roadmap, and drive results against clear success criteria
• Comfortable operating and influencing in a matrixed professional services environment with multiple senior stakeholders
• Familiarity with AI concepts including hallucination and output reliability, LLM-based tooling, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) standards, or the appetite to learn quickly
• Strong communication and stakeholder management skills; ability to translate technical concepts for business audiences and vice versa
• Data-oriented: comfortable defining KPIs, interpreting usage analytics, and using evidence to prioritize
• Preferred Experience with governed content platforms, asset repositories, or internal marketplace concepts is strongly preferred
• Familiarity with enterprise workflow/intake tools (such as ServiceNow) is preferred
• Prior consulting or professional services experience is a plus