Senior Product Manager – Gen AI and Conversational Platforms

Requirements

• Experience owning AI-powered, platform or ecosystem-facing products, particularly where third-party systems act as intermediaries
• Strong understanding of how LLMs retrieve, reason over and present content, including retrieval-augmented generation concepts
• Comfort working on technically complex product areas involving APIs, schemas, metadata, evaluation and system boundaries
• Ability to partner effectively with engineers and data scientists on ambiguous, evolving problems
• Sound judgement around responsible AI, editorial integrity and risk management
• Clear communicator able to explain complex technical concepts to non-technical stakeholders
• Large language model ecosystems, conversational agents and agent frameworks
• Content retrieval, grounding, citation and attribution mechanisms
• Connector models, tool/function calling and AI-facing interfaces
• Platform dynamics and third-party integrations
• Responsible AI considerations in content-rich environments
• Enthusiasm for The Economist’s mission, journalism and editorial values

What the job involves

• We are seeking a Senior Product Manager to own The Economist’s approach to Gen AI and conversational platforms – ensuring that when AI systems surface, summarise or reason over our journalism, they do so accurately, responsibly and in line with our editorial standards
• The Senior Product Manager for Gen AI & Conversational Platforms owns how The Economist is represented, queried and interpreted across third-party AI-native and conversational environments
• This role treats AI ecosystems, such as LLM-based assistants, agent-based systems and AI-driven discovery environments, as platforms in their own right – each with distinct product dynamics, technical requirements and success metrics
• A core focus of the role is ownership of LLM connector and retrieval experiences. This includes defining and evolving the schemas, interfaces and protocols that allow AI systems to:
  • Query The Economist’s content accurately
  • Retrieve the correct material with appropriate context
  • Ground responses in authoritative sources
  • Attribute and cite journalism clearly and consistently
• You will work on capabilities analogous to MCP-style integrations, tool and function calling, retrieval pipelines, grounding and citation mechanisms, and agent-facing content interfaces
• This role focuses on representation, fidelity and optimisation at the boundary between our content and external AI systems
• You will report to the Principal Product Manager for Web, Newsletters & Conversational Platforms, and work closely with Search & Discovery, Web, App, Engineering, Data Science and Editorial teams
• Own the vision and roadmap for Gen AI and conversational platforms as distribution and interpretation environments
• Define how The Economist’s journalism should be queried, retrieved, grounded, cited and represented by LLMs and agent-based systems
• Lead product strategy for LLM connector and retrieval integrations, including schemas, APIs, tools, metadata and grounding mechanisms
• Partner closely with engineering and data science on retrieval pipelines, content representations, evaluation approaches and optimisation strategies
• Partner closely with Marketing and SEO specialists for how we want our brand to appear on these platforms, and what is/is not paywalled
• Ensure AI systems can reliably distinguish authoritative content, context, timeliness and editorial intent
• Define standards for fidelity, attribution, transparency and trust in AI-mediated representations of our journalism
• Monitor emerging AI platforms, protocols and standards (e.g. new agent frameworks, connector models, distribution patterns), identifying opportunities and risks
• Work with Web and App teams to ensure products are well‑optimised for AI-driven discovery, referral and interpretation
• Define and track success metrics related to accuracy, grounding quality, authority, reach and consistency of representation
• Act as an internal expert on AI platform dynamics, advising editorial, legal, commercial and product stakeholders

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