Multiverse

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

Designer

• Lead the creation of curricula and frameworks for our the AI production engine, ensuring alignment with the Multiverse MAGE (measured, applied, guided and equitable) framework and compliance with regulatory standards.
• Manage the development lifecycle for programme assets. Create and manage timelines and budgets for producing programme learning materials, taking into account the interaction between AI and human centred processes. Onboard, direct and manage the day-to-day work of contractors and/or subject matter experts if required.
• Quality assure learning materials. Serve as the final validator of content produced by the AI machine and that which is human generated, ensuring quality, accuracy, and adherence to design principles and a cohesive and impactful learning experience.
• Utilise learner and client data to inform AI machine improvements. Utilise insights from key data sets to optimise the AI agents to make effective customisation and design decisions, and make recommendations for new product features to the wider product team.
• Champion AI adoption and best practices. Lead the communication of the AI machine's capabilities to other teams and stakeholders, building buy-in and defining how the new content will be delivered and used.
• Influence and manage cross-functional teams. Apply advanced communication strategies to build consensus and secure buy-in from product, engineering, and delivery teams to ensure the end-to-end learning product is harmonised with the AI-driven approach.

Senior Learning Programme Designer

Artificial Intelligence

• Architect AI Learning Frameworks: Design, develop, and document a comprehensive set of rules and principles for our AI to follow when generating learning content. This framework will be the blueprint for our entire learning methodology.
• Embed Pedagogical Excellence: Translate established learning pedagogy, andragogy, and cognitive best practices into a clear, logical, and machine-readable rule set. You will be the expert voice ensuring our AI teaches effectively.
• Champion Hands-On Learning: Codify our problem-first, hands-on instructional sequencing into the AI's core logic, ensuring all generated content aligns with our active learning philosophy.
• Navigate Regulatory Landscapes: Integrate the complex regulatory requirements of the UK apprenticeship levy (and others as we expand) into the learning design rules, ensuring all content is compliant and of the highest standard.
• Collaborate with AI Teams: Partner closely with AI developers and engineers to ensure your pedagogical frameworks are accurately interpreted and implemented within the AI models.
• Empower Content Experts: Work in a close, collaborative partnership with programme and instructional designers and subject matter experts. You will enable them to leverage the frameworks you build and establish a continuous feedback loop to refine and improve the pedagogical rule set.
• Iterate and Innovate: Continuously evaluate the quality of AI-generated content, refining and iterating upon the learning rules to drive constant improvement and innovation.
• Stay at the Forefront: Remain current on emerging trends and research at the intersection of learning science, adult education, and artificial intelligence, bringing new ideas and best practices to the team.

AI Learning Architect

Backend Engineer

• Confidently facilitate delivery sessions of our technical Learning content, ensuring the session delivers against learning objectives within the allotted time.
• You can demonstrate knowledge and familiarity of broad industry trends and technical solutions. This includes topics such as cloud solutions, CI/CD, testing methodologies as well as project management methodologies, an understanding of the SDLC and associated tools.
• You are able to demonstrate core academic fundamental CS concepts and connect these to real-world solutions. Examples might include Design Patterns, Algorithms & Data Structures, Paradigms and Principles
• Proficiency in JavaScript. More specifically this includes Express and operating in the NodeJS ecosystem as well working with ReactJS and the browser
• Adhere to the Coach Quality framework to ensure a consistent level of quality for every session and a consistent experience for every apprentice.
• Mark and moderate assignments in line with Multiverse mark schemes to ensure quality and consistency while providing feedback and feed forward for apprentices to continually develop their technical and durable skills.
• Maintain an owners mentality, whether assigned a learner or in support of other coaches, being proactive in taking action, sharing feedback, or providing support to ensure the progress and success of learners.
• Utilize resources & learning opportunities provided by Multiverse, stay up-to-date on knowledge, learning and product updates, to ensure you are equipped to support your apprentices.
• Undertake regular specialised Higher Education CPD to own your own development of the degree apprenticeship experience

Instructor – Java Software Engineering

People Operations

• Own Our Compensation Foundations: You will build and evolve our global compensation frameworks, including job architecture, levelling guides, and salary ranges. Your work will ensure we remain competitive in the market and equitable internally.
• Facilitate Compensation Cycles: You will play a pivotal role in the successful delivery of our core compensation processes, including annual and mid-year salary reviews, bonus payouts, and equity grants. This involves everything from budget modelling and data analysis to flawless execution.
• Design and Innovate Reward Programs: Move beyond the day-to-day by contributing to the design and implementation of our variable pay plans. You will analyse the effectiveness of our current bonus, Go-To-Market (GTM) compensation, and equity plans, recommending data-driven enhancements.
• Act as a Trusted Advisor: You'll be the go-to expert for the People & Talent team and business leaders on all things related to reward. You will provide expert guidance on new hire offers, promotions, and complex compensation queries, empowering them with the right data and insights.
• Enhance Our Total Rewards Offering: Contribute to our holistic benefits strategy by benchmarking our offerings, ensuring compliance and governance, and recommending improvements to support our team's wellbeing.
• Partner in Strategic People Projects: Bring your critical reward expertise to cross-functional initiatives, whether it's implementing a new compensation module in our HRIS or providing labour cost analysis for organisational design changes.
• Unlock Insights from People Data: Dive into our data to analyse key trends across the employee lifecycle, including hiring, engagement, performance, diversity & inclusion, and attrition, providing actionable insights to the business.
• Develop and Maintain People Dashboards: Design, build, and manage dashboards and reports in our HRIS systems to provide leaders with self-service access to key people metrics.
• Support Data-Driven Storytelling: Partner with the wider People & Talent team to provide the data and analysis needed to support strategic initiatives, measure their impact, and build business cases.
• Champion Data Integrity: Act as a guardian for our people data, ensuring accuracy and consistency across our systems (e.g., our HRIS) to build a reliable foundation for all analytics.

Senior Reward and People Analytics Specialist

Recruitment

• Deep-dive into talent trends and market intelligence
• Approach your work with an analytical mindset, ensuring all sourcing sprints have relevant activity and success metrics
• Use our recruiting stack and varied sourcing techniques to build diverse, qualified and highly engaged pipelines
• Craft messages that connect and resonate with diverse talent
• Learn how to leverage your tech stack, including AI tools, to enhance candidate sourcing
• Collaborate with hiring squad and broader talent team
• Share evolving sourcing best practices to improve engagement

Talent Sourcer – 6 Month FTC

• Support AI Solution Development: Design and build no-code AI solutions to automate and enhance business workflows; evaluate and recommend suitable off-platform automation tools and technologies that align with the existing tech stack; drive execution of the automation roadmap and manage projects to ensure timely delivery; integrate AI agents and workflows into internal systems and digital products.
• Collaborate with Teams: Partner with business stakeholders and cross-functional teams to understand process challenges and identify areas for AI/automation; attend discovery sessions and assist in translating business needs into technical tasks with mentorship from senior engineers.
• Prototype & Experiment: Participate in development of proof-of-concept solutions using tools such as Zapier, LLMs, and no-code platforms; experiment with new tools and support testing and evaluation of solution performance.
• Automation & Integration: Contribute to scripting and automation workflows using Zapier, Cassidy and other no-code platforms to reduce manual effort and streamline processes; help set up and maintain data pipelines and integrations between systems.
• Documentation & Learning: Maintain clear technical documentation on code, processes, and solution designs; continuously improve understanding of AI/ML, cloud tools, and automation platforms through team learning and personal development.
• Stay Curious: Stay informed on emerging AI tools and technologies, especially in Generative AI, workflow automation, and data processing.

AI Solutions Builder, No Code

Financial Planning and Analysis

• Assist in the preparation of weekly, monthly, and quarterly financial reports, including variance analysis against budget and forecast
• Support the annual budgeting process and assist with re-forecasting exercises to reflect business performance and strategic changes
• Help prepare presentations and reports for senior leadership and other stakeholders
• Contribute to the maintenance and improvement of our budgeting and planning system, ensuring data integrity and usability
• Play a key role in our finance automation journey by helping to maintain data hygiene and integrity, ensuring our information is ready for use in AI applications
• Identify, suggest and deliver improvements to FP&A processes and reporting tools to enhance efficiency and accuracy
• Provide analytical support on ad-hoc projects as needed by the finance leadership

FP&A Analyst

Product Marketing

• Design, build, and optimise the systems infrastructure that supports our Go-to-Market (GTM) teams, including marketing, sales, and customer success.
• Manage and optimise the GTM systems stack: Enhance tools across our GTM ecosystem, with an emphasis on Salesforce and integrated systems like Gong, Lusha, Cognism, Zapier, and AI tools.
• Improve revenue-generating sales processes: Leverage technology to help our sales organisation secure new clients, expand existing accounts, and grow company revenue.
• Build scalable marketing operations capabilities: Design and implement effective marketing automation processes, campaign workflows, lead lifecycle management, and attribution models.
• Collaborate cross-functionally on system strategy: Translate business requirements from our GTM teams into scalable, user-centric system solutions.
• Enable high-quality data flow and insights: Ensure data integrity and usability across platforms. Work with the Data & Insights team to support end-to-end reporting on GTM performance.
• Deploy and manage system enhancements: Lead the development and deployment of new system features, integrations, and automations using declarative and low-code/no-code platforms.
• Promote operational excellence: Establish and document GTM systems processes, manage change effectively, and ensure system reliability, security, and performance.
• Report to the Director of GTM Systems and collaborate closely with stakeholders across Revenue Operations, Marketing, Sales, Customer Success, Data & Insights, Operations, and Product.

Senior GTM Systems Manager

Account Manager

• Report directly to the Manager, Sales Operations as part of the Revenue Operations team
• Own Account and Territory Management across Enterprise and Mid-Market regions, designing and refining territory strategies
• Collaborate with senior sales stakeholders to align territory strategies with GTM objectives
• Assign accounts strategically using AI-driven insights and automation to ensure equitable opportunity and revenue optimisation
• Proactively adjust territory plans for new product launches, evolving ICP criteria, and industry trends
• Continuously assess and develop scalable territory frameworks and principles
• Develop executive-level dashboards and insights utilising AI for data synthesis and error detection to monitor territory health and pipeline progression
• Act as a strategic partner to Sales and non-sales teams by leading and implementing projects that address GTM challenges
• Identify and resolve inefficiencies in the sales funnel through process and workflow automation
• Promote and document GTM best practices and standardise effective strategies and workflows
• Support CRM data integrity: manage external data provider relationships, own enrichment and scoring workflows, and guide operating procedures
• Design and maintain operational hand-offs between Marketing, Sales, and Customer Success to optimise customer journey and support Net Revenue Retention
• Collaborate with GTM Systems and Strategy & Analytics teams to ensure operational processes support teamwork and communication across GTM

Sales Operations Manager – Territory

Product Designer

• Design AI-powered workflows that help coaches make smarter, faster decisions so learners succeed.
• Own the end-to-end design — from early discovery through high-fidelity delivery.
• Contribute to strategic product decisions in collaboration with product, engineering, and research.
• Conduct user research and usability testing to inform and iterate designs and/or work with a researcher.
• Translate broad concepts into clear, meaningful user experiences that drive measurable business and user outcomes.
• Drive adoption of scalable, design system-consistent patterns across the product.
• Collaborate closely with engineering and data to embed intelligence into the product experience.
• Contribute to our design system and ensure visual and functional consistency across the product while championing accessibility (WCAG 2.2 AA) and ensuring visual and interaction quality.
• Ship refreshed experiences used daily, contribute scalable accessible components, and help shape product direction through critique and experimentation.

Senior Product Designer

• Develop, launch and scale Multiverse's AI Adoption platform reporting directly to the Founder & CEO
• Build a new product blending software and services to deliver customer ROI at scale
• Define platform vision, strategy, and roadmap to find product market fit
• End-to-end ownership of product lifecycle from concept to launch and iteration
• Build relationships with customers and partners and implement development partner programmes
• Recruit, develop and scale a cross-functional team of engineers and engagement managers
• Own the product’s P&L including revenue and margin goals
• Expand to new customers and markets and mature the product to deliver scaled customer adoption and business impact

Product Director, AI Adoption

AI Engineer

• Multiverse is the upskilling platform for AI and Tech adoption partnering with 1,500+ companies and 800+ employees
• Transform cutting-edge AI research into real-world products to personalise learning and improve outcomes
• Design, fine-tune, and integrate LLM-powered solutions for content generation, semantic search, summarisation, and personalised learning
• Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini
• Own end-to-end lifecycle from raw data through experimentation, deployment, and iteration
• Build MLOps pipelines and AWS cloud infrastructure for training, deployment, and monitoring
• Measure performance, accuracy, and adoption of AI features and enable colleagues to apply AI across teams

Applied AI Engineer

Mechanical Engineer

• Multiverse is the upskilling platform for AI and Tech adoption.
• Partnered with 1,500+ companies to deliver a new kind of learning transforming today’s workforce.
• Upskilling apprenticeships designed for people of any age and career stage to build AI, data, and tech skills; learners have driven $2bn+ ROI for employers.
• Join to help scale best-in-class UX to almost half a million learners, working on design system and foundational frontend initiatives.
• Strengthen and evolve Multiverse’s design system so applications are consistent, accessible, and performant at scale.
• Explore agentic workflows and AI-powered tooling to transform prototyping, experimentation, and rollouts.
• Build, evolve, and maintain design system (React, TypeScript, Tailwind); ensure components are accessible and performant; partner with designers to bring Figma concepts to production; collaborate with engineers to deliver developer experience; prototype AI workflows; mentor engineers and designers.

Senior Design Engineer

Operations

• Multiverse is the upskilling platform for AI and Tech adoption; partners with 1,500+ companies and delivers apprenticeships driving measurable ROI.
• Role: Senior Sales Strategy & Operations Manager reporting to the Director of Revenue Strategy & Operations; act as strategic backbone of the GTM organisation to enable predictable revenue growth.
• Sales Analytics & Performance Insights: own KPIs (pipeline, conversion, velocity, ACV, cycle length), lead deep-dive analyses, and build executive BI dashboards (Tableau, Looker, etc.).
• Forecasting & Pipeline Management: manage end-to-end sales forecasting, collaborate with sales leaders and Finance, enforce pipeline hygiene and review cadences.
• Leverage AI-powered insights tools to analyze sales data and customer behavior and translate patterns into actionable recommendations.
• Sales Operations & Technology: stakeholder for GTM tech stack, partner with Systems to optimise Salesforce and integrated tools, refine processes and workflow automation, evaluate new technologies including AI solutions.
• Go-to-Market Strategy & Planning: partner on annual and quarterly planning, territory design, quota setting, capacity modelling, market segmentation, and identify new revenue streams.
• Cross-Functional Alignment: architect operational hand-offs between Marketing, Sales, and Customer Success and collaborate with Sales Enablement to support training and onboarding.

Senior Sales Strategy and Operations Manager

• We are seeking an intrapreneurial design lead for our new commercial Adoption product. This is a zero-to-one role as the first design hire for this product. You’ll be turning ambiguous ideas into tangible, clickable prototypes that shape product direction and inspire customers. You’ll also play a key role in defining what the end-to-end user experience of the product is, and how it’s positioned in the market, influence strategic decisions through design
• Own the design vision for the Adoption product
• Rapidly prototype high-fidelity concepts to test and communicate direction
• Lead concept sprints and align stakeholders through storytelling
• Design and iterate on flows, prototypes, and high-quality visuals for AI-enabled features
• Identify opportunities for AI to improve adoption and engagement
• Ensure a consistent, high-quality experience across the product
• Balance speed with craft - moving fast without sacrificing usability