Senior Learning Solutions Specialist

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.

In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

The Learning Solutions Specialist is responsible for adapting core learning experiences and materials to meet the specific needs of clients or groups of learners. This can be initiated at client request, or as a proactive step by Multiverse to improve client and learner engagement and retention.

The role collaborates closely with product and curriculum owners, sales leaders and operational stakeholders to identify and evaluate opportunities to customise learning experiences. In larger and more complex deals, they may engage directly with the client to scope and understand what issues we are trying to solve. Once approved, they orchestrate the necessary resources and stakeholders to make the changes to the learning materials, support the enablement of coaches involved and communicate the changes to clients and learners. Whilst you do not need to be a subject matter expert in our various curricular areas, you will have a strong opinion on where change to the experience will drive impact.

Key Duties and Responsibilities:

• Use a range of methods (qualitative, quantitative and AI powered) to analyse and evaluate root cause issues being solved for in learning customisation requests

• Develop concise yet thoughtful proposals to allow cross functional leaders to effectively evaluate and direct investment to the right customised learning solutions

• Utilise generative AI and prompt engineering to rapidly prototype proposed solutions, generate content outlines, and suggest innovative learning activities

• Develop project and resourcing plans, including schemes of work for contractors to support in adapting learning materials

• Develop structures and systems to project manage solutions at different stages of development, identifying the right internal stakeholders who need to see the solution through to launch and the right systems to check they are on track with tasks

• Collaborate with product owners and SMEs to ensure accuracy and relevance of customised learning content, integrating their expertise into both the planning and quality assurance stages

• Build effective working relationships with customer success managers, account executives and sales leaders, ensuring that you are a trusted thought partner in how to improve learning for key customer accounts

• Conduct regular evaluations and assessments to measure the effectiveness and impact of learning initiatives, making recommendations for improvement based on data and feedback.

Required Skills and Qualifications:

• Proven experience as an instructional designer, learning architect, or a similar role designing materials for adult learners

• Strong project management skills, including the ability to prioritise tasks, manage timelines, and adhere to project deliverables.

• High level of creativity and innovation within learning solution design

• Experience of prompt engineering principles for effective interaction with AI models

• Experience working in an enterprise or custom learning environment

Preferred Skills and Qualifications:

• Formal or informal people leadership experience, particularly when overseeing the creation of content

• Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus

Benefits

• Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year

• Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support

• Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month

• Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year

• Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Our Commitment to Diversity, Equity and Inclusion

We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.

Our Commitment to Safeguarding

Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).

For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.

Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.