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Contract

Senior Software Engineer - Adoption Product

London
money-bag £200,000 per annum (£200.00 per month)
BAE4CABD963C775CABEC10CB36A4D974
Posted Today

Overview

Senior Software Engineer - Adoption Product. Join to apply for the Senior Software Engineer - Adoption Product role at Multiverse.About the Role

We are building a small foundational team of engineers to build and iterate on our new adoption platform. 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. This is a fast paced, scrappy and highly collaborative team, working to solve complex and compelling engineering challenges. We’ll provide you with the support, autonomy, and flexibility you need to do your best work. We believe in creating an environment where everyone can thrive and grow, supported by mentorship, learning opportunities, and a strong team culture.You’ll succeed in this role if you:Care deeply about software engineering and want to continuously develop your craftThrive in ambiguity and with open-ended briefsAre passionate about the 0 to 1 stage of product developmentEnjoy working collaboratively and helping others succeedWork effectively in partnership with peers and stakeholders to make decisionsAre adaptable and curious about learning new tools, frameworks, and technologiesAre excited about exploring the potential of AI-assisted development (e.g., tools like Cursor or Gemini) to enhance quality and velocityResponsibilities

Build and iterate on the new AI Adoption Platform from scratchCollaborate with the AI Adoption Team to define features and deliverablesDeliver personalized, role- and tool-specific AI use cases at scale with measurable ROIAbout You

Experience working in cross-functional product teams (typically 5+ years, but we welcome strong candidates with equivalent experience)Ability to design, develop, and maintain new products from scratchExcited about working on greenfield projectsComfortable choosing the right tools for the job—our stack includes Python, TypeScript, React, Elixir, AWSSkilled at working across the development lifecycle—from requirements to deployment and ongoing supportCollaborative, with experience mentoring or supporting other team membersBenefits

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 and Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership and 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.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!About Multiverse

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. Over ¼ of the FTSE 500 trusts Multiverse to transform their workforce, with customers including John Lewis, Barclays, and the NHS. This success is amplified by strategic alliances with industry leaders such as Microsoft, Salesforce, and Databricks. Our approach has fuelled exceptional growth; a winner of the Sunday Time\''s Fast Growing Tech companies, we’ve more than doubled revenue over the last two years. Multiverse is backed by Silicon Valley investors, including General Catalyst, Lightspeed Venture Partners, and Index Ventures, with luminaries like Mary Meeker and Martha Lane Fox on our board. As we intensify our focus on AI, we are 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 is strong; we’re an equal opportunities employer and encourage applicants from all backgrounds. We work to ensure equality, diversity and inclusion in our policies and practice. Safeguarding statements apply to all posts; successful applicants are required to complete a DBS disclosure form where applicable.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.Seniority level

Mid-Senior levelEmployment type

Full-timeJob function

Engineering and Information TechnologyIndustries

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