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For Companies At a Glance
- Tasks: Join a dynamic team to build and enhance our AI Adoption platform from the ground up.
- Company: Multiverse, the UK's first EdTech unicorn, transforming workforce skills in AI and tech.
- Benefits: Generous holiday allowance, wellbeing days, and opportunities for personal growth.
- Why this job: Be part of an innovative team making a real impact in AI and tech education.
- Qualifications: 5+ years in software engineering with a passion for collaborative product development.
- Other info: Fast-paced environment with a strong focus on mentorship and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
About the Company
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 transforms today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Learners have driven $2bn+ ROI for their employers by improving productivity and measurable performance. In June 2022 we announced a $220 million Series D round co‑led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post‑money valuation of $1.7 bn, the round made us the UK’s first EdTech unicorn. We have an operational footprint, 800+ employees, and ambitious plans to scale.
About the Role
We are building a small foundational team of engineers to build and iterate on our new AI Adoption platform. You’ll work closely with the AI Adoption Team to build new features from scratch, quickly iterating based on customer feedback. This is a fast‑paced, scrappy, highly collaborative team that values autonomy, 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 craft
- Thrive in ambiguity and open‑ended briefs
- Are passionate about the 0 to 1 stage of product development
- Enjoy working collaboratively and helping others succeed
- Work effectively in partnership with peers and stakeholders to make decisions
- Are adaptable and curious about learning new tools, frameworks, and technologies
- Are excited about exploring AI‑assisted development tools to enhance quality and velocity
About 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 scratch
- Excited about working on greenfield projects
- Comfortable choosing the right tools for the job – our stack includes Python, TypeScript, React, Elixir, AWS
- Skilled at working across the development lifecycle, from requirements to deployment and ongoing support
- Collaborative, with experience mentoring or supporting other team members
Benefits
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.
Senior Software Engineer - AI Adoption Product in London employer: Multiverse
Contact Detail:
Multiverse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - AI Adoption Product in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Multiverse. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub, make sure it’s up to date. Share projects that highlight your experience with AI and software engineering.
✨Tip Number 3
Prepare for the interview by understanding Multiverse's mission and values. Be ready to discuss how your passion for tech aligns with their goals in AI adoption.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Senior Software Engineer - AI Adoption Product in London
Some tips for your application 🫡
Show Your Passion for Software Engineering: When writing your application, let us see your enthusiasm for software engineering shine through! Share specific examples of projects you've worked on and how you've developed your craft over the years.
Embrace the Ambiguity: We love candidates who thrive in open-ended situations. In your application, highlight experiences where you've tackled ambiguous challenges and how you approached them creatively. This will show us you're a great fit for our fast-paced environment!
Collaborate and Contribute: Since we value teamwork, make sure to mention any collaborative projects you've been part of. Talk about how you’ve supported your peers or contributed to team success, as this aligns perfectly with our culture at StudySmarter.
Tailor Your Application: Take a moment to customise your application for the role. Mention specific technologies from our stack that you're familiar with, like Python or React, and explain how your skills can help us build our AI Adoption platform. Don't forget to apply through our website!
How to prepare for a job interview at Multiverse
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, TypeScript, and React. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Collaborative Spirit
Since this role values teamwork, prepare examples that highlight your experience working in cross-functional teams. Think about times when you helped others succeed or contributed to a team project, and be ready to share those stories.
✨Embrace Ambiguity
This position thrives in open-ended briefs, so be prepared to discuss how you handle uncertainty in projects. Share experiences where you’ve successfully navigated ambiguity and turned it into actionable outcomes.
✨Demonstrate Your Passion for Learning
The company is looking for someone who is adaptable and curious. Be ready to talk about new tools or frameworks you’ve learned recently and how you’ve applied them. Showing your enthusiasm for continuous learning will resonate well with the interviewers.
