Scholar Gateway is Wiley’sdistribution layer for AI agents, operating at the intersection of scholarly publishing and AI systems. It enables AI responses grounded in peer-reviewed sources with verifiable citations and DOI links, delivering evidence-backed answers with complete source metadata. 

This role is ideal for a Product Manager who wants to own meaningful areas of a product roadmap and collaborate cross functionally to deliver product outcomes in a technically complex, fast‑evolving AI environment where product patterns are still taking shape.

Job Responsibilities:  

• Own and drive specific areas of the Scholar Gateway roadmap, from problem definition through delivery and iteration. 

• Own product capabilities related to content ingestion and lifecycle management, helping define how scholarly content is structured and maintained for AI-driven discovery. 

• Drive end-to-end workflows to support the onboarding of partners. 

• Partner closely with engineering to shape platform capabilities in areas where technical approaches and product expectations are still evolving. 

• Use qualitative and quantitative inputs (customer feedback, usage signals, partner needs) to inform prioritization and decision-making. 

• Contribute to demos, release notes, and lightweight documentation to support customer understanding and adoption. 

• Partner with support and operational teams on issues that impact customers, helping ensure a smooth product experience. 

Required Qualifications:  

• At least 3–4 years of experience in product management. 

• Demonstrated ability to own and deliver discrete areas of a product roadmap, from discovery through execution. 

• Strong product judgment and communication skills, with the ability to work effectively across technical and nontechnical teams. 

• Analytical and problem-solving skills, with experience using data to inform prioritization and tradeoffs.

• Experience working on technically complex, platform-oriented products (e.g., APIs, services, integrations).

• Confidence working with AI‑enabled products and understanding, at a conceptual level, how modern AI systems use external content and data to inform responses.

• Strong interest and enthusiasm for AI, particularly as related to applications in research and scholarly communication

Preferred Qualifications: 

• Interest or experience in content centric products, data platforms, or knowledge systems. 

• Experience translating ambiguous problem spaces into clear product goals and phased delivery plans. 

• Familiarity with AI infrastructure patterns such as the Model Context Protocol (MCP), agent tooling, or similar approaches for connecting content to AI workflows. 

• Experience working on products that incorporate AI‐enabled capabilities or data driven workflows.