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.

SKILLS & EXPERIENCE WE’RE LOOKING FOR:

• Leadership Experience: A proven track record of managing and developing multiple software engineering teams in a dynamic product-led environment, successfully shipping high-quality products and services. Experience in a high-growth or scale-up setting is a plus.
• Product & Customer Focus: You possess deep empathy for users. You champion an iterative approach, using customer feedback and data to continuously refine and deliver impactful technical solutions..
• Technical Foundation: 5+ years of engineering experience and 3+ years managing teams that build and ship user-facing products in a cross-functional environment.
• Architectural Knowledge: Solid understanding of modern software architecture principles, with experience in building and scaling cloud-native applications and microservices.
• Data-Informed Decisions: Experience using metrics and KPIs to guide team performance, measure product quality, and demonstrate impact. You set clear, high standards for your team and guide them in achieving long-term goals.
• AI Interest: Experience with and a demonstrable interest in, using AI and machine learning to improve products and engineering processes. Experience in adoption of AI tools for improving team processes and metrics is a plus.
• Collaborative Spirit: A natural ability to partner with Product, Design, and Data to deliver on a shared vision through
• Growth Mindset: An eagerness to learn and develop personally paired with a passion for cultivating that same mindset in others through mentorship and building an inclusive, high-performing team culture. Actively seeks, accepts, and implements feedback as a critical tool for personal and team improvement.

• Strategic Alignment & Delivery: Partner closely with Product, Design and Data counterparts to define and execute your team’s roadmap, ensuring tight alignment with Multiverse’s strategic objectives.
• Technical Vision & Architecture: Drive the technical direction and architectural decisions for your team’s solutions and services, ensuring they are scalable, reliable and maintainable.
• End-to-End Ownership: Own the complete development lifecycle for your team’s commitments, from planning and execution through to deployment and monitoring.
• Performance & Quality Metrics: Establish and track key performance indicators (KPIs) and metrics to measure team performance, product quality, operational excellence, and the impact and adoption rate of new products and features.
• Team Leadership & Development: Lead, mentor, and foster high-performing engineering teams, cultivating a culture of ownership, trust, collaboration, and continuous improvement.
• Talent Acquisition: Actively participate in hiring and onboarding top engineering talent to effectively scale the team.
• AI Innovation Champion: Champion the adoption and implementation of AI tools and technologies to drive innovation, enhance developer productivity, and deliver intelligent features for our users.