Immersive
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Immersive Offices
Immersive is headquartered in Bristol.
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Immersive values its culture as the company grows. Flexible working is supported, with a recommended pattern of splitting time between remote work and 2 or more days in the office.
Typical time on-site:
Flexible
Global Office Locations
Our UK Global Headquarters


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Located in the heart of Bristol City Center, our global HQ is where Immersive was born. Find us taking a stroll through Castle Park, grabbing lunch at St Nicks Market or trying to one-up each other at Whistle Punks.
Recently posted jobs
Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
Lead end-to-end product design for a complex B2B cybersecurity platform, shaping scalable workflows, information architecture, design systems, and AI-powered experiences. Translate technical cybersecurity data into intuitive interfaces, use research and analytics to validate decisions, and collaborate with Product and Engineering. Champion Object-Oriented UX, accessibility, consistency, and measurable business outcomes while influencing design direction as the team’s most senior individual contributor.
Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
Lead end-to-end product design for AI security and agentic experiences within an enterprise cybersecurity platform. Responsibilities include user research, complex workflow and information architecture design, prototyping, validation, design-system governance, Object-Oriented UX, and translating cybersecurity data into intuitive interfaces. The role partners closely with Product, Engineering, and Research, uses customer insights and behavioral analytics to measure outcomes, and advances scalable, accessible AI-powered product experiences.
Enterprise Web • HR Tech • Information Technology • Software • Cybersecurity
Develop and maintain analytical data models, datasets, semantic layers, and customer-facing reporting infrastructure. Lead data quality, observability, lineage, and model optimization initiatives while collaborating with data, software, and analytics engineers. Apply SQL and cloud data warehouse expertise, mentor junior engineers, and contribute to engineering best practices, including testing, documentation, version control, and continuous integration.






