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Principal AI Engineer

Role overview

Qualifications

  • Experience in data architecture and AI infrastructure
  • Proficiency in building and scaling data pipelines
  • Understanding of data governance and compliance standards
  • Familiarity with analytics, recommendations, and AI systems

Responsibilities

  • Own platform-wide data architecture and infrastructure
  • Design and build data systems for analytics and AI features
  • Establish data quality, governance and lineage standards
  • Mentor engineers on data architecture best practices

About the company

Grip logo

Grip

Grip is the AI-powered event platform built for business relationships. It helps event organizers like SXSW, RX and Clarion Events establish, maintain and track 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 and an intuitive mobile event app so participants meet the right people at the right time. This results in organizers benefitting from better event satisfaction scores, increased growth and ultimately, higher revenues.

Company details

Company typeScaleup
Company size51 - 200

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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. 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 data architecture, search/retrieval design, and AI infrastructure decisions platform-wide.

  • Influence the organisation's approach to data storage, retention and compliance

  • Partner with squad Principal Engineers as peers when their product work touches shared data infrastructure

🚀 What We Offer

  • Remote-first culture with an office in London Bridge (optional)

  • Competitive salary, equity, and benefits

  • 25 holiday days per year, sabbatical leave opportunities

  • Company training and professional development budget

  • Group life insurance and company health plan

  • Real influence over technical direction platform-wide

🚀 Career Path & Development

We are highly invested in your growth. Your career development is a standing agenda item in regular check-ins with your manager. As a Principal Engineer at Grip, you'll have real influence over technical direction platform-wide, opportunities to mentor across squads, and a clear progression framework. We use quarterly performance reviews to reflect on progress and set ambitious goals aligned with your aspirations.

🚀 Our Process

  1. Screening call

  2. Product/engineering case study — a problem statement and requirements, working together to understand how you'd approach implementation

  3. Technical assessment — system design and technical interview focused on data architecture, pipelines, and platform trade-offs

  4. Final round with our CEO, Tim Groot, Founder & CEO — culture fit and alignment on vision

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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