Senior Learning Programme Designer

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 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 Step Stone 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 Senior Learning Programme Designer owns the design process for curricula and learning experiences s role is AI‑first with AI tools being utilised to design and develop high‑level curricula and individual learning assets that meet both our internal design standards as well as external regulatory requirements. The Senior Learning Programme Designer will collaborate closely with product owners, asset designers, instructional designers and contractors to develop materials to support both synchronous and asynchronous learning ranging from two‑year apprenticeships in AI Product Engineering to training for short‑burst skill training for first‑time managers.

They should be fascinated by the potential for AI to make learning personalised whilst recognising the need for close attention to quality as AI learning scales. At the heart of their quality assurance is the impact that the learning will have on both individual learners and the businesses who support them to take up these opportunities.

Lead the creation of curricula and frameworks for our 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 machines' 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.

Curriculum Design Expertise:
Significant experience applying backward design principles to create measurable learning outcomes and aligned assessments for learning and skills development programmes.

AI & Technical Literacy: A solid knowledge of generative AI and workflow automation tools. The ability to translate pedagogical rules into a technical rule set that can be executed by an AI machine. Solid understanding and application of prompt engineering principles for effective interaction with AI models.

Project Management:
Honed skills in leading content development teams, managing risks and time, developing schemes of work and ensuring learning designers (both internal…