Principal Product Manager, AI

Overview

In this role you will shape the AI-ready data platform that underpins ICIS’s AI-enabled market intelligence. You will define standards, primitives, and MCP-first distribution to support internal products, partner integrations, and AI-native customer experiences. You’ll collaborate with cross-functional teams to drive adoption, set governance, and define how AI intersects with data, semantics, and content operations. This is a high-impact, influential individual contributor role with a strong focus on scalable, trusted platform capabilities that propel ICIS’s AI strategy.

Pay / Benefits

• country-specific benefits
• disability accommodations
• equal opportunity employer

Responsibilities

• Own the platform mission and roadmap for AI-ready data, semantics, and MCP-first distribution
• Define standards, data contracts, schemas, versioning, deprecation approaches, and quality measures for AI-ready data
• Evaluate customer signals to determine which workflows should be platform primitives vs. bespoke or retired
• Drive adoption of platform primitives across internal product teams with measurable usage and business impact
• Shape AI-native distribution strategy including protocols, channels, integrations, and commercial approaches
• Lead the AI-ready data and content operations platform squad without direct people management
• Co-author the operating model for scalable AI platforms including evaluation, lineage, and responsible AI capabilities
• Partner with internal and external stakeholders to accelerate adoption, integrations, and commercial opportunities

Key requirements

• A track record shipping platform capabilities (APIs, data products, semantic layers, evaluation frameworks)
• Experience owning platform strategy, roadmap, and delivery outcomes in data/AI or developer platforms
• Technical credibility to contribute to architecture discussions (RAG, evaluations, agents, MCP, data platforms)
• Hands-on experience with AI tooling through prototypes, integrations, agents, tools
• Experience influencing decisions in a matrixed organization with senior stakeholders across engineering, data science, commercial, legal, and executives
• Strong product judgement translating feedback into scalable platform direction
• Comfort navigating ambiguity, creating structure, and driving platform adoption at scale
• Experience with semantic technologies, AI/data interoperability protocols, AI platform integrations, or major data distribution ecosystems beneficial

• collaborative communication
• stakeholder management
• strategic thinking
• APIs
• data products
• semantic layers

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