Platform Product Manager – APIs & Integrations (Patent Data)

Are you excited by the challenge of designing the APIs, data services, and AI-native interfaces that power how customers, products, and intelligent agents access richly connected patent data?

Do you enjoy turning complex technical and customer needs into scalable platform capabilities that improve consistency, reliability, and developer experience across an organisation?

LexisNexis Intellectual Property, part of RELX, helps the world's innovators, IP professionals, law firms and investors understand patents: their own, their competitors', and those of the companies they're assessing. Our products, including PatentSight+, IPlytics and TotalPatent One, and the patent data we deliver directly into customers' own systems, inform decisions on R&D investment, licensing, litigation, M&A and competitive strategy.

Every one of those products, and a growing number of customers' own tools and AI agents, reaches our patent data through a set of shared interfaces. We're looking for the product manager who will own them.

About the Team

Patent data is richly connected: inventions link to families, owners, litigation, standards and technologies, across many countries and decades. Exposing that complexity through interfaces that are simple, fast and consistent, so that every product and every customer gets the same answer to the same question, is a genuinely hard design problem.

And the consumers are changing. Alongside internal product teams and enterprise data teams, AI agents are becoming users of our data in their own right, through APIs and emerging AI-native interfaces such as MCP. You'll help decide how our data is best offered to all of them, and make those interfaces something teams are glad to build on.

• Own the product roadmap and success measures for the APIs and integration points through which our products, customers and AI agents access patent and related data, including search, APIs for querying richly connected patent data (relationships between patents, families, owners and more), bulk delivery and AI-native interfaces such as MCP and agent-to-agent (A2A) frameworks
• Deeply understand the needs of the teams and customers who use these interfaces, test ideas early with prototypes such as sample clients or agent integrations, and turn what you learn into clear priorities and requirements
• Work closely with engineers and architects on API design, performance, reliability, versioning and documentation
• Drive adoption of common access patterns across product teams, so that data is accessed consistently and answers match wherever customers find them, working with senior product and engineering leaders on decisions that span the organisation
• Own the parts of our platform modernisation that concern how data is accessed, for example creating a unified route through which all downstream products and customers access harmonised, consistent data, working with the architects and programme managers who lead the wider effort
• Build product plans and business cases for new capabilities, keeping up with competitors' data APIs and emerging integration standards
• Set and track KPIs such as adoption, reliability, latency, consistency of results across access routes, and time for a new team or customer to get started
• Partner with subject matter experts and evaluation colleagues so that what our interfaces return meets agreed quality standards
• Prioritise production issues and feedback from API consumers, communicate clearly on changes and timelines, and support sales and customer conversations about what our interfaces can do

• Product management experience owning the roadmap for APIs, developer platforms, data services or integration products, and a record of releasing improvements that measurably improved customer experience or commercial results
• Experience defining what success looks like for a platform or API product, and setting and owning its KPIs
• Experience working with both internal and external customers, and adapting integrations to different needs without fragmenting the platform
• Solid technical understanding of API design and operation: for example REST or GraphQL, authentication, rate limiting, versioning, service levels and developer documentation
• Familiarity with how AI agents and LLM-based applications consume data and tools, for example through function calling, MCP or agent-to-agent (A2A) frameworks
• Comfort working hands-on with data (for example in SQL or Python) to understand usage, and troubleshooting production issues alongside engineering and consuming teams
• A customer-minded approach to developer experience: you care about how easy your product is to adopt, not just what it can do
• The ability to work across many teams, explain trade-offs clearly, and build agreement on shared ways of working
• Curiosity about a complex domain, and the patience to learn it

This role is probably not for you if you're mainly interested in end-user interfaces. This role is about the interfaces that products, data teams and AI agents build on.

You'll work on the connective tissue of a business that serves the people who drive innovation worldwide, with the backing of a global group that has been building data, analytics and AI products for many years, and with colleagues who care about getting things right.

Please tell us briefly about an API or integration product you owned or shaped: who used it, how you measured success, and one trade-off you made along the way.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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