AI Content Licensing Product Manager

Institute of Electrical and Electronics Engineers • Piscataway, NJ

2d • Remote

About The Position

Under the direction of the Director, Institutional Information Products, the AI Content Licensing Product Manager manages AI content licensing product strategy in a rapidly evolving area. The role delivers solutions that bring peer-reviewed IEEE research into AI research assistants, discovery platforms, enterprise AI systems, and agentic workflows, while helping IEEE remain an authoritative source for technical researchers in AI-mediated experiences. It also strengthens customer relationships and supports commercial sustainability in this emerging area. This is a fully remote opportunity.

The Product Manager supports product strategy, vision, and roadmaps for agentic retrieval and orchestration, including product portfolio development. The role manages the data licensing roadmap and API access request process; develops business requirements and owns product work in the SCRUM workflow; and translates validated market expectations into requirements with clear acceptance criteria. It works with customers, partners, Sales, Legal & Compliance, Information Technology, and other teams on opportunities, agreements, content delivery, product decisions, and launches. The position also supports attribution, link-back, and provenance standards for AI tools displaying IEEE content, as well as market expectations for Model Context Protocol (MCP) access.

Requirements

• 4–7 years of experience in business, product management, product marketing, licensing, or related roles.
• Proven ability to work on tight schedules and complete projects on or before deadlines.
• Strong analytical and communication skills.
• Business understanding of generative AI products, including retrieval-augmented generation, agentic workflows, and how they are evaluated.
• Proven ability to independently drive product execution across multiple workstreams with a mix of dependencies.
• Successful go-to-market and product launch experience.
• Ability to foster a data-driven culture across a team.
• Comfort with rapid prototyping and ability to build proofs of concept and validate ideas alongside engineering and data science teams.
• Technical fluency, sound analytical judgment, ability to reason about system boundaries and trade-offs, contribute to architecture discussions, and engage credibly with AI researchers, engineers, and platform teams.

Nice To Haves

• 4–7 years of experience in B2B publishing.
• Experience in customer discovery in academic, research, or corporate information markets.
• Experience developing products with AI.

Responsibilities

• Support IEEE’s AI product strategy, vision, and roadmap for agentic retrieval and orchestration, including product portfolio development.
• Develop strategy and guidelines for attribution, link-back, and provenance standards for AI tools displaying IEEE content, helping route traffic and institutional subscription value back to IEEE Xplore.
• Work directly with customers and partners, in partnership with Sales, to evaluate opportunities and provide guidance on proposals.
• Manage the API access request process to determine new opportunities and support existing customers.
• Develop business-side requirements and take product ownership in the SCRUM workflow.
• Work with Global Sales and Legal & Compliance to review and negotiate customer agreements regarding AI terms of use, including suggesting new contractual provisions as the market evolves.
• Work with Information Technology to ensure customer commitments are met for content delivery for testing and purchase fulfillment.
• Gather market-based requests, evaluate their broader worthiness and viability, and recommend product portfolio and strategy decisions.
• Translate validated market expectations into requirements with clear acceptance criteria.
• Make trade-offs explicit when new requirements displace committed work and facilitate product decision-making.
• Support market expectations for Model Context Protocol (MCP) access as a more standardized interface for AI tools.
• Manage the data licensing roadmap.
• Communicate product functionality and use cases to global sales and client support teams.
• Work with the product launch and engagement team on product positioning, messaging, and collateral.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed