IE
IEEEAI Content Licensing Product Manager
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Before you apply
SalaryNo pay range posted
LocationUnited States-New Jersey-Piscataway
Work moderemote
Typefull-time
SeniorityMid
Experience4–7 yrs
Company size1,001–5,000 people
First seenOct 30, 2026 · 6d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
4-7 years in business, product management, product marketing, licensing, or other related roles required
Proven ability to work on a tight schedule and to ensure projects are completed on or before the deadline
Strong analytical and communications 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 the team
Comfortable with rapid prototyping; able to build POCs and validate ideas alongside engineering and data science teams
Technically fluent, with sound analytical judgment, ability to reason about system boundaries and trade-offs, contribute substantively to architecture discussions, and engage credibly with AI researchers, engineers, and platform teams
4-7 years in B2B publishing a plus
Experience in customer discovery in academic, research, or corporate information markets is highly desirable
Experience developing products with AI a plus
Skills
generative AI
retrieval-augmented generation
agentic workflows
Model Context Protocol (MCP)
API
SCRUM
AI
data science
About the role
Under the direction of the Director, Institutional Information Products, the AI Content Licensing Product Manager will manage AI content licensing product strategy in this quickly evolving space. This individual will be responsible for delivering solutions to bring peer-reviewed IEEE research into AI research assistants, discovery platforms, enterprise AI systems, and agentic workflows, ensuring IEEE remains the authoritative source for technical researchers in an AI-mediated experience. This role will be responsible for continuing to strengthen customer relationships and driving commercial sustainability in this emerging area.
This is a fully remote opportunity.
Key Responsibilities
Specific duties include but not limited to:
•
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, ensuring traffic and institutional subscription value route back to IEEE Xplore.
•
Partnering with Sales, work directly with customers and partners to evaluate opportunities and provide guidance on proposals.
•
Manage API access request process for determining new opportunities and supporting existing customers.
•
Develop business-side requirements and take product ownership in the SCRUM workflow.
•
Work with both Global Sales and Legal & Compliance to review and negotiate customer agreements regarding AI terms of use, including suggesting new types of contractual provisions as the market evolves.
•
Work with Information Technology to ensure that customer commitments are met for content delivery for both testing and purchase fulfillment.
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Gather market-based requests, evaluate broader worthiness and viability, and make recommendations on product portfolio and strategy.
•
Translate validated market expectations into requirements, with clear acceptance criteria. When a new requirement displaces committed work, make the trade-off explicit, and facilitate decision-making on the product.
•
Support market expectations for delivery of Model Context Protocol (MCP) access as a more standardized interface for AI tools.
•
Manage the data licensing roadmap.
•
Clearly communicate to global sales and client support teams on the functionality and use cases for the products under portfolio, including working with the product launch and engagement team on positioning, messaging, and collateral.
Work Experience
•
4-7 years in business, product management, product marketing, licensing, or other related roles required
•
4-7 years in B2B publishing a plus
Skills
•
Proven ability to work on a tight schedule and to ensure projects are completed on or before the deadline
•
Strong analytical and communications 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 the team.
•
Comfortable with rapid prototyping; able to build POCs and validate ideas alongside engineering and data science teams.
•
Experience in customer discovery in academic, research, or corporate information markets is highly desirable.
•
Technically fluent, with sound analytical judgment, ability to reason about system boundaries and trade-offs, contribute substantively to architecture discussions, and engage credibly with AI researchers, engineers, and platform teams.
•
Experience developing products with AI a plus