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.

At Multiverse, we’ve built a new model for transforming today’s workforce by combining expert human coaching with AI. We’re on a mission to equip workers with the skills they need to win in the AI era.

As part of our AI Transformation team and play a key role in executing our strategic vision to become an AI-first organization in our daily operations.

Your primary responsibility will be to coordinate and deliver high-impact initiatives, deploying automations and AI agents across key workflows. This role is ideal for a highly effective builder who thrives in fast-paced environments and can drive change through influence, project delivery, and speed to execution, ultimately enabling our team to better serve our learners and clients.

This is an individual contributor role reporting into the Head of AI Transformation You’ll work alongside a team of 2 AI Transformation Leads with a specific focus on our Operations organization.

Core Responsibilities

• Every three weeks, you’ll be briefed on a new fully-scoped sprint to build an automation or agent that utilises AI tools. You’ll translate the commercial sprint brief into technical next steps.

• Select the best no-code/low-code platforms, connectors, and authentication methods for the job, subject to those available within our authorised tech stack.

• Build and iterate on automations in a non-production environment before migrating to production.

• Integrate and leverage LLMs via APIs to perform complex tasks within the automated workflows.

• Implement our naming, versioning, and logging standards to ensure proper governance.

• Validate GDPR and data-security requirements with our InfoSec partner.

• Run a 60-minute enablement session for stakeholders.

• Document ROI assumptions and identify potential next steps for future projects.

Essential Skills & Experience

• A track record of shipping multi-step automations in a SaaS environment using no-code platforms (e.g., Zapier, Make, n8n).

• A solid grasp of REST APIs, webhooks, and JSON payloads.

• Advanced prompt engineering skills for getting reliable, structured outputs from LLMs.

• Experience integrating various AI models and tools into automated workflows.

• Strong stakeholder communication and rapid requirements gathering.

• Exceptional organizational and time management skills, with a proven ability to manage multiple priorities and adapt to a fast-paced environment with shifting goals.

• Strong analytical skills with experience handling and interpreting data to measure the impact of automation initiatives.

• Resilience and a growth mindset, with the ability to navigate challenges and learn quickly.

Key Outcomes (per 3-week sprint)

• Process Mapping - For a given project, capture the trigger-action flow, confirm data fields, and define success metrics for an AI-enhanced workflow.

• AI Automation Build - Deliver a robust, multi-step automation using platforms like Zapier, n8n, or others. This will include error handling, branching logic, and the integration of LLMs for tasks like data extraction, summarization, and content generation.

• Testing & Hardening - Run end-to-end tests, set up retry policies, and pipe alerts to Slack to ensure reliability.

• Governance - Work in partnership with an AI Transformation Lead to ensure all work is compliant with internal data, legal and product policies.

• Handover - Create a concise runbook, record a Loom walkthrough and brief an internal "Process Owner" for future maintenance.

Nice-to-have

• Experience with a wide variety of no-code/low-code automation tools.

• Familiarity with process mapping and analysis techniques.

• Experience working in a high-growth environment.

• Experience working in EdTech, executive education or corporate training.

Right to Work

Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

This is a contract role with an expected duration of 3 months, with potential extension.