Description

The Team

The Global AI & Knowledge Organization (GAIKO) is A&M's central engine for AI strategy, enablement, and knowledge infrastructure. Led by the Chief AI & Knowledge Officer, the team bridges firm strategy and frontline delivery, responsible for how A&M adopts, governs, and scales AI across its practices and geographies.

The team's mandate spans the full lifecycle of AI at A&M: from rolling out enterprise tools like Claude to thousands of practitioners across the US, Australia, and Europe, to building the platforms and governance frameworks that ensure AI work is reusable, compliant, and compounding in value over time.

How you will contribute

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. The Product Manager will own the strategy, roadmap, and day-to-day execution of this platform, serving as the connective tissue between practitioners, technologists, governance stakeholders, and firm leadership.

The Marketplace exists to solve a real problem: high-value AI work built across the firm too often stays siloed or disappears at project close. This platform changes that, making AI solutions broadly discoverable and turning the work of individuals and teams into a persistent, shared firm asset. By giving all practitioners access to proven, compliant assets, we raise A&M's baseline AI capability and reduce the risk of inconsistent or non-compliant work in the field.

This is a high-visibility, high-impact role operating at the intersection of AI enablement and governance, knowledge management, and product development. The incoming PM will onboard into a live platform with an established governance framework, contributor network, and stakeholder ecosystem. The right candidate will bring both product discipline and a genuine enthusiasm for how AI is reshaping professional services. You will have direct influence over how thousands of A&M practitioners discover and deploy AI, and how the firm captures and compounds its institutional knowledge over time.

• 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

Required

• 5+ 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
• Comfort 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