Staff Software Engineer

Multiverse is the upskilling platform for AI and Tech adoption. 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. 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. Having built a thriving upskilling apprenticeship business, we are now doubling down on our AI strategy with the launch of a groundbreaking AI Adoption Platform. This new venture operates as a 'startup' within the business, leveraging Multiverse's established customer base, intellectual property, and experienced team. Our MVP has already demonstrated 7x adoption results in initial pilots by delivering personalized, role- and tool-specific AI use cases and upskilling at scale, enhanced by social features and measurable ROI. We are building a dedicated team to rapidly develop and scale this platform, and we're looking for pioneering individuals to drive its market success from the ground up. Shape the future of work in the AI era. As a Staff Software Engineer, you will be a technical leader and a force multiplier, tackling our most complex and ambiguous challenges. You'll be working closely together with our AI Adoption Team to build new features from scratch, quickly iterating to improve them as we get customer feedback and continue to evolve our offer. We believe in creating an environment where everyone can thrive and grow, supported by mentorship, learning opportunities, and a strong team culture. Design, build, and operate the core architecture of our new AI Adoption Platform, ensuring it is scalable, reliable, and extensible for future innovation. Drive Technical Strategy: Partner with engineering and product leadership to define the long-term technical roadmap, making critical decisions that will shape the platform for years to come. Drive technical alignment and influence outcomes across engineering, product, and design teams, ensuring we build cohesive and powerful solutions. Champion Innovation & Pragmatism: Explore, prototype, and advocate for new technologies (including AI-assisted tools like Cursor or Gemini) while balancing speed of delivery with long-term sustainability. A track record of architecting, building, and operating complex, scalable systems from an early stage. Expertise in Your Craft: Deep knowledge and proficiency across our stack (we use Python, TypeScript, React, Elixir, AWS) and the ability to choose the right tool for the job. Strategic & Collaborative Partnership: You work effectively with peers, stakeholders, and leadership to make critical decisions and drive projects forward. Experience formally or informally mentoring other senior engineers and a passion for helping others succeed and grow their skills. 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 London office 3 days per week. Team fun - weekly socials, company-wide events and office snacks At Multiverse we equip the workforce to win in the AI era. We achieve this through a powerful blend of software and services, delivering essential AI, tech, and data skills at scale. This translates into tangible value for employers – we've tracked over $2 billion in ROI to date through improvements in productivity and performance. This success is amplified by strategic alliances with industry leaders such as Microsoft, Salesforce, and Databricks. a winner of the Sunday Time's Fast Growing Tech companies, we've more than doubled revenue over the last two years. As we intensify our focus on AI, both internally and for our customers, we're guided by an exceptional AI advisory board including Professor Mehran Sahami (Chair of Computer Science, Stanford University) and Professor Michael Wooldridge (Ashall Professor of Foundations of Artificial Intelligence, Oxford University). Our commitment to Diversity, Equity and Inclusion 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. Read our Equality, Diversity & Inclusion policy here. 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.