Job description Who are We? Grip is the AI-powered, end-to-end event platform built for engagement. The flexible system helps commercial event organisers like Ascential, Hyve, Emerald and Clarion Events boost revenue by establishing, maintaining and tracking relationships between participants over multiple events. This is possible because Grip goes beyond networking. It combines AI with billions of interactions happening across the platform with a powerful event management system, seamless registration and award-winning mobile event app so participants meet the right people at the right time. The Role We're looking for a Product Manager who thinks agentically, someone who approaches data not as an end in itself, but as the foundation that makes intelligent, AI-powered systems possible. Grip is building toward a platform where AI agents act on behalf of organisers and participants. To get there, the data that underpins that layer needs to be right. That's where this role starts: getting hands-on with data ingestion, understanding how data moves through the platform, and building the clean, well-structured data layer that agentic systems depend on. You'll work on system integrations, ETL pipelines and CDP tracking, not as traditional data plumbing work, but with a clear eye on what the AI layer above it will need. You'll be the person asking "is this data structured in a way an agent can use?" before asking "does this data exist?". As that foundation takes shape, your scope expands naturally into Grip's MCP design, agentic workflows and AI system architecture. In your own workflow, agentic tooling is already the default. You use Claude Code, GitHub automations and agents to manage your output, not because you were asked to, but because it's simply how you operate. This position is a remote role based in the UK. Core Responsibilities Building the data layer for agentic systems - immediate focus Diagnose and resolve current data integration challenges within Engage, with a clear view of how clean data enables AI capabilities downstream. Own the product roadmap for data integrations, mapping how data flows through Grip and shaping it for both current reporting needs and future agentic use. Drive API integration work with organiser systems, third-party providers and enterprise platforms, always considering how data will be consumed by AI systems. Work with data engineers on ETL pipeline design and dataset structure, thinking about what format and fidelity AI agents will require. Maintain and evolve event tracking via our CDPs to ensure data is complete, accurate and machine-usable. Define success metrics and build feedback loops that keep product decisions grounded in data. Expanding into AI