Jobs at Multiverse

Lead the Full DAPs end-assessment submission: audit evidence, coordinate cross-functional contributors, draft the PEE-structured self-assessment, manage project plan and trackers, escalate blockers, and support site-visit preparation.

Own AI enablement for delivery coaches and instructors: horizon-scan AI trends, assess team capabilities, design and prioritize training plans, source expertise, ensure access/licenses, measure impact, and QA enablement delivered by senior coaches.

Own and optimise pod workflows supporting coaches and learners: track learner health metrics, run SQL/Metabase/Tableau analyses, maintain SOPs/Knowledge Base, execute delivery operations (breaks in learning, bookings, coach cover), coordinate kickoffs and allocations, and surface retention insights while automating processes with AI and no-code tools.

Build and own AI-native product features end-to-end: design retrieval and context strategies, integrate LLMs and tools, build evaluation frameworks, operate production systems, and mentor engineers.

Lead design and delivery of AI agent architecture and production agent systems. Define engineering standards, build integrations and APIs, translate product goals into an AI roadmap, ship end-to-end LLM-powered features, mentor engineers, and author decision records and evaluation frameworks.

Build AI-driven onboarding and personalised learning features, partner with AI engineers to operationalise AI-generated content, scale messaging systems, and ship production-quality code across AWS, React, and TypeScript. Own features end-to-end from discovery to deployment, implement monitoring and instrumentation, mentor engineers, and drive measurable learner outcomes through product-focused engineering.

Lead a small AI-native product team as a player-coach: own discovery, build, launch and production code for customer-facing AI products. Drive fast experimentation loops, shape AI-native operating practices, line-manage engineers, and ensure impact-driven delivery measured by real user outcomes.

Own international controllership across multi-entity group: month-end reporting, intercompany accounting, transfer pricing support, controls and risk documentation, audit and statutory compliance, NetSuite process improvements, and entity-level analysis for senior finance leadership.

The IT Technical Lead will manage critical technical programs, drive automation in IT operations, and coordinate with multiple stakeholders to improve efficiency and compliance.

The Portfolio Lead will develop and manage the Data product roadmap, collaborate with stakeholders to enhance learning experiences, and leverage data insights to improve retention and performance in AI and tech upskilling.

As a Strategic Account Executive at Multiverse, you will manage enterprise relationships, drive new opportunities, and apply MEDDIC methodologies to close complex multi-million-pound deals with C-level executives while collaborating with cross-functional teams.

The Regional Director will lead the sales team, manage key accounts, train executives, and work cross-functionally to drive growth and performance in the UK.

Lead design and delivery of production AI agent systems end-to-end: architecture, context/retrieval strategies, tool integrations, evaluation pipelines, and full-stack implementation. Drive technical direction, mentor engineers, and use Claude Code as the primary development workflow to embed AI across the company.

Lead architecture and delivery of production multi-agent AI systems: agent orchestration, context strategy, tool integrations, evaluation pipelines, cost engineering, and platform integrations. Ship end-to-end agentic features, set organisation-wide engineering patterns, mentor engineers, and collaborate across product, design, compliance, and engineering teams.

Own AP and procurement end-to-end, act as system owner for Ramp and Omnea, drive automation and AI-powered process improvements, support M&A integrations and multi-currency payments, implement risk-based internal controls, analyse transactional data for efficiency, and support month-end close and stakeholder queries.

Deliver technical workshops and drop-in sessions teaching how AI solves business problems. Facilitate sessions, assess assignments, coach apprentices, coordinate with coaches and operations, maintain quality standards, and stay current with AI tools and curriculum to drive apprentice impact.

The AI Portfolio Lead will develop AI product offerings, analyze market trends, manage curriculum, and ensure high-quality learning experiences while influencing policies and stakeholder engagement.

As a Senior Software Engineer at Multiverse, you'll build production systems, lead technical initiatives, and enhance AI-driven education solutions. You'll collaborate with a startup-like team focused on creating scalable user-focused features while maintaining high coding standards.

The role involves driving new business opportunities with enterprise clients, using a comprehensive sales approach, and collaborating with teams to deliver ROI assessments.

The role focuses on building an operational engine for coach deployment, managing analytics, and interfacing with finance and delivery teams for effective resource allocation.