Principal Product Manager, AI

Overview

In this role you own the platform foundations for ICIS’s AI capabilities, shaping how AI-ready data, semantics, and MCP-first distribution power internal products, partner integrations, and AI-native customer experiences. You’ll drive platform standards, adoption, and the operating model for scalable AI, partnering with multiple stakeholders to deliver trusted market intelligence at scale. The opportunity focuses on defining data contracts, schemas, and distribution approaches that amplify impact across the business. You work in a fast-paced, entrepreneurial environment to turn customer signals into reusable platform primitives that enable AI-driven insights.

Responsibilities

• Define the platform mission and roadmap for AI-ready data, semantics, and MCP-first distribution
• Establish standards, contracts, schemas, versioning, deprecation, and quality measures for AI-ready data
• Evaluate customer signals to identify reusable platform primitives vs bespoke or retirements
• 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 management
• Co-author the operating model for scalable AI platforms (evaluation, lineage, responsible AI)
• Partner with internal and external stakeholders to accelerate adoption, integrations, and commercial opportunities

Key requirements

• Track record shipping platform capabilities (APIs, data products, semantic layers, evaluation frameworks)
• Experience owning platform strategy, roadmap, and delivery in data/AI/product environments
• Technical credibility for architecture discussions (RAG, evaluations, agents, MCP, data platforms)
• Recent hands-on experience with AI tooling through prototypes, integrations, agents, tools
• Experience influencing decisions in a matrix organization with senior stakeholders
• Strong product judgment translating feedback into scalable platform direction
• Ability to navigate ambiguity, create structure, and drive platform adoption at scale
• Experience with semantic technologies, AI interoperability protocols, AI platform integrations, or major data distribution ecosystems (beneficial)

• collaboration across functions
• stakeholder management
• adaptability and resilience under pressure
• APIs
• data products
• semantic layers

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