For too long there’s been a belief that university, supplemented by corporate training, is the only route to a successful career.
We empower and support people to create their own realities as they journey through a fulfilling career.
Multiverse is a true alternative to both a one track university route and often uninspiring corporate training.

Multiverse

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artificial-intelligence

Multiverse is a company dedicated to providing equitable access to economic opportunity through professional apprenticeships. It focuses on transforming education and the workforce by identifying, closing, and preventing skills gaps using a platform that leverages AI-powered tools. Multiverse operates by offering personalized learning pathways guided by expert coaches to improve productivity and performance. They work with enterprises to unleash employee potential by building data, AI, and software engineering skills, thereby fueling performance and business transformation. With a mission to make the workforce reflect societal diversity, they empower employees to explore new career paths while tracking measurable ROI of their learning strategies.

For too long there’s been a belief that university, supplemented by corporate training, is the only route to a successful career. We empower and support people to create their own realities as they journey through a fulfilling career. Multiverse is a true alternative to both a one track university route and often uninspiring corporate training.

• Create and maintain structured, reusable knowledge (macros, snippets, internal guides, help articles) that keep both our human and AI agents informed and consistent.
• Translate product and process changes into clear, well-structured knowledge for internal teams and end-users.
• Design and refine conversational flows, tone, and handoff logic so our AI Agent communicates naturally and on-brand.
• Optimise knowledge structures, metadata, and tagging so content is easily discoverable by both humans and AI systems.
• Partner with the AI Operations Lead to audit and improve AI response quality, retrieval accuracy, and content alignment.
• Develop and govern content standards, taxonomy, and review processes to maintain accuracy and scalability.
• Collaborate with Product, GTM and Operations to document new workflows and ensure knowledge reflects current processes.
• Analyse conversation data and feedback to identify knowledge gaps, content improvements, and opportunities for automation.
• Continuously tune tone, clarity, and structure based on user feedback and AI performance data.
• Act as the bridge between AI and human support — ensuring every response, whether automated or manual, feels clear, empathetic, and consistent.

Knowledge & AI Enablement Manager

Knowledge & AI Enablement Manager at Multiverse driving structured knowledge for AI and human support. Collaborating across teams to improve accuracy and efficiency in content delivery.

director

• Developing & implementing our vision for embedding a fully data-literate and insight-informed culture across the organisation
• Directly managing & developing our domain-specific D&I Leads
• Indirectly supporting & coordinating analysts based within other teams across the organisation
• Fostering best practice development/sharing around analysis, insight generation & communicating actionable recommendations - both within D&I and across the broader organisation
• Collaborating on leadership initiatives within the Data & Insight team and broader organisation
• Driving the proactive identification of key business questions, the design and execution of rigorous analyses, and the delivery of compelling, data-driven recommendations to senior leadership
• Overseeing the development and delivery of key performance indicators (KPIs) and reporting frameworks/collateral (e.g. Monthly/Quarterly Business Reviews) that provide leaders with clear visibility into business health and emerging issues
• Establishing and championing robust analytical methodologies, data governance principles, and quality standards within D&I and across the wider organisation
• Championing the art of data storytelling, ensuring insights are communicated clearly, concisely, and persuasively to diverse audiences
• Providing a reliable first-point-of-contact for Execs and other key leaders via timely, high-quality first-line data support
• Collaborating with leaders across all business and technology teams to understand their analytical needs, translate them into actionable insights, and ensure that data informs their decision-making
• Building, nurturing and leading a vibrant, aligned network of analysts based within other business departments, fostering high usage, adoption and understanding of D&I’s data assets and driving consistent, best practice analytical methodologies across these teams

Director, Business Insights

Director of Business Insight at Multiverse leading data-driven decisions and team management. Collaborating with departments to foster a data-literate culture and drive actionable insights across the organization.

customer-support

• Respond to support tickets via Intercom with clarity, empathy, and urgency—supporting apprentices, employers, and internal teams.
• Confidently investigate user-reported issues by impersonating users, replicating scenarios, and following structured troubleshooting guides.
• Accurately document findings and next steps in clear, well-structured technical tickets in line with internal guidelines.
• Build trust and maintain strong communication with customers, handling sensitive or escalated issues with professionalism.
• Demonstrate strong comprehension skills—accurately read, interpret, and respond to complex or unclear requests.
• Handle complaints and challenging conversations with care, aiming for effective and fair resolution.
• Manage and prioritise a high volume of tickets, balancing efficiency with accuracy and tone.
• Confidently push back on stakeholders when necessary, with a clear, respectful approach.
• Act as a role model in the team—setting a standard for tone of voice, responsiveness, accountability, and support quality.
• Become a product expert, deepening your understanding of all features and use cases and keep up to date with product releases and adjust support approaches accordingly.
• Proactively share feedback and ideas to improve the customer experience and internal workflows using data driven approach
• Contribute to and maintain high-quality support documentation and help content written in Plain English.
• Work cross-functionally with product, operations, and training teams to resolve complex issues at the root.

Support Specialist

Support Specialist for Multiverse, assisting clients and apprentices through the Intercom platform. Engaging in troubleshooting issues and maintaining communication with diverse stakeholders.

manager

• Own the strategy for our Additional Learning Needs training offer to ensure it reflects best practices for inclusive learning and drives equitable outcomes.
• Developing processes to improve efficiency and cost-to-serve for ALN support.
• Partnering with our coaching and instructor teams to design and deliver training and support.
• Work closely with the Compliance team to develop and maintain a best-in-class policy for ALN requirements.
• Build and execute efficient processes that deliver against our learner support policy, ensuring timely and high-quality interventions.
• Triaging learner cases to determine when additional support is required.
• Driving the development and implementation of best-practice support standards delivered by the ALN team.
• Identifying trends in support needs and collaborating across teams to create shared solutions and new content (e.g., learning materials, platform features).
• Act as a local safeguarding officer for the ALN team, triaging concerns and collaborating with the Deputy DSL and DSL 
to effectively manage and mitigate risks for ALN learners.
• Oversee a small team of ALN professionals, including defining KPIs, managing capacity modelling, and providing development to ensure apprentices receive high-quality, timely support.

Senior Safeguarding, ALN Manager

Safeguarding & ALN Manager leading equitable access for apprentices with learning needs at Multiverse. Driving high-quality learner support and team development in a hybrid work environment.

product-manager

• You will own the end-to-end lifecycle for our internal AI and no-code products. We've grouped the key responsibilities into three core themes:

**1. Strategy & Discovery**

- **Define the Vision & Roadmap:** Own the product strategy for our internal AI and no-code tools, ensuring alignment with our coaches, instructors, and company goals.

- **Deep User Empathy:** Conduct continuous user research (interviews, workshops) to gain deep insights into the workflows, pain points, and needs of our internal teams.

- **Prioritize for Impact:** Ruthlessly define and prioritize features and projects based on user impact, business value, and technical feasibility, turning long-term goals into actionable, iterative steps.

**2. AI-First Execution & Delivery**

- **Build & Ship AI-First Solutions:** Lead the end-to-end development of internal tools—from rapid prototyping to full-scale deployment—using no-code platforms (like Retool), agentic frameworks (like Zapier/n8n), and data warehouse front-ends.

- **Drive Adoption & Measure Success:** Manage the launch of new tools, define and analyze key metrics (e.g., efficiency gains, user satisfaction), and iterate based on data.

- **Collaborate on Data Architecture:** Partner with engineering and data teams to define the data pipelines, analytics, and infrastructure needed to power your tools, ensuring security, privacy, and ethical AI use.

**3. Collaboration & Operational Excellence**

- **Lead Through Influence:** Act as a trusted partner to senior operations and learning leaders, communicating complex concepts simply and making well-informed recommendations.

- **Manage the Tooling Ecosystem:** Own the inventory of our deployed internal tools and the backlog for improvements, effectively resolving urgent issues and removing obstacles.

Senior Product Manager – Internal AI Tools

Product Manager developing AI-powered tools for internal coaches at Multiverse. Leading strategy, execution, and user research to enhance learning experiences for apprentices.

operations

• Support our team of Talent Partners by expertly coordinating a high volume of interviews across multiple job pipelines, ensuring an exceptional and seamless experience for both candidates and the business.
• Build and maintain a suite of analytics dashboards and handle ad-hoc reporting requests, giving our team a constant pulse on key metrics across the entire candidate lifecycle.
• Become a superuser of our ATS, Ashby. You'll work with Talent Partners to build effective interview plans, create process automations, and design communication flows that enhance efficiency.
• Maintain system compliance, data accuracy, and user permissions across all our core talent systems.
• Support the Director of Talent Operations with exciting process optimisation initiatives and help enable the wider talent team on operational improvements and best practices.

Talent Operations Coordinator – FTC

Talent Operations Coordinator at Multiverse supporting interview coordination and data reporting for candidate lifecycle processes. Enhancing operational efficiency through automation and analytics dashboards.

Multiverse

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54 jobs found

Knowledge & AI Enablement Manager

Multiverse

Director, Business Insights

Multiverse

Support Specialist

Multiverse

Senior Safeguarding, ALN Manager

Multiverse

Senior Product Manager – Internal AI Tools

Multiverse

Talent Operations Coordinator – FTC

Multiverse