Job Opportunities API

🚀 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. Grip goes beyond networking — combining 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 Opportunity Every interaction on Grip's platform — a scan, a meeting, a session attendance, a lead capture, a message — generates data with real commercial value to organisers, exhibitors and attendees. We're at an inflection point where AI makes it possible to turn that raw activity into genuinely intelligent products: better recommendations, sharper insights, and autonomous agents that act on data rather than just report it, including the greenfield Organiser and Exhibitor Agentic products our founding Agentic team is building on Model Context Protocol (MCP). We're looking for a Principal AI & Data Engineer to own the data foundations and AI infrastructure that sit beneath the entire Grip platform. You own the horizontal layer — how data is modelled, stored, governed and served platform-wide, and how that data is made usable by analytics, recommendation systems, and our Agentic products. You'll partner with squad Principal and Senior Engineers in the Engage and Manage squad as well as your AI and Data squad on data contracts and standards. 🚀 Your Role Own the architecture of Grip's platform-wide data and AI infrastructure — from how event data is captured and modelled, to how it's stored, governed and served to downstream consumers including search, recommendations, analytics, and AI agents. You'll set the standards that squads build against, and you'll directly build the shared infrastructure that no single squad owns. This role reports into the Engineering Director. 🚀 Core Responsibilities Own platform-wide data architecture: capture standards, data modelling, storage strategy, and serving layers used across the organisation Design and build the data infrastructure powering analytics, search, recommendations, and AI/agentic features Build and scale data pipelines handling high-volume event interaction data across the platform — both batch and streaming — with reliability and low latency at the core Own the data layer that underpins Grip's Agentic products, ensuring agents and MCP-based tools have access to clean, well-modelled, real-time data Define data contracts and standards that product squads (Engage, Manage) build against, working as a technical peer to their Principal / Senior Engineers. Establish data quality, governance and lineage standards across the organisation, including PII handling in line with GDPR Drive the technical strategy for how Grip captures and governs new categories of data (e.g. smart badge telemetry, location/proximity signals) in a privacy-compliant, lawful-basis-aware way Build observability into data systems — structured logging, freshness and quality monitoring, SLOs, and pipeline health dashboards Champion high-quality technical communication: proposals, specifications, and documentation that other teams can build on Mentor engineers across the organisation on data architecture and AI infrastructure best practices 🚀 Platform Remit This is a horizontal, platform-level role, not a product-squad role: Own the shared data layer that sits beneath Engage, Manage and Agentic systems. Expose well-structured data through MCP servers and tools for the Organiser and Exhibitor Agents Set and maintain shared data contracts, schemas and pipelines consumed across squads Act as the technical authority on dat