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 Opportunity
At Multiverse, we're on a mission to build the next generation of our product, and we need a visionary Senior Engineering Manager to lead and manage multiple teams working on our Learning Product. If you are a leader driven by a passion for cutting-edge technology and empowering people, who thrives in dynamic, evolving environments, and is eager to balance rapid delivery with robust, scalable architecture, we encourage you to apply. You will be a key driver of innovation, particularly in how we leverage AI to enhance our products and create efficiencies in our engineering processes. Your leadership will directly contribute to our mission by ensuring your team is healthy, productive, and positioned for success in a fast-paced, ambitious environment.
Key Responsibilities:
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.
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.
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 - we collaborate in the office 3 days per week
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Team fun - weekly socials, company wide events and office snacks!
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.
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.
Safeguarding
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
