At a Glance
- Tasks: Lead and manage engineering teams to build innovative AI-driven products.
- Company: Join Multiverse, a pioneering EdTech unicorn transforming workforce skills in AI and tech.
- Benefits: Enjoy 27 days holiday, private medical insurance, hybrid work, and fun team events.
- Why this job: Be part of a mission-driven company that empowers people through technology and innovation.
- Qualifications: Proven leadership in software engineering with a passion for AI and complex project delivery.
- Other info: We value diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 54000 - 84000 £ per year.
Multiverse is the upskilling platform for AI and Tech adoption.We have partnered with 1500 companies to deliver a new kind of learning thats transforming todays 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 theyve 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 UKs first EdTech unicorn.But we arent stopping there. With a strong operational footprint and 800 employees we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.The OpportunityAt Multiverse were on a mission to build the next generation of our product and we need a strategic and forward-thinking Senior Engineering Manager to lead and manage multiple teams on our internal platform. 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:Team Leadership & Development: Lead mentor and foster high-performing engineering teams cultivating a culture of ownership trust collaboration and continuous improvement.Strategic Alignment & Delivery: Partner closely with Product Design and Data counterparts to define and execute your teams roadmap ensuring tight alignment with Multiverses strategic objectives.Technical Vision & Architecture: Drive the technical direction and architectural decisions for your teams services ensuring they are scalable reliable maintainable and easy for other teams to adopt.Complex Migrations: Lead critical technical migrations minimising toil for consuming teams adopting new changes.End-to-End Ownership: Own the complete development lifecycle for your teams 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 initiatives.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.About YouTechnical Capability:Leadership Experience: Demonstrable experience leading and managing multiple software engineering teams ideally within dynamic evolving or high-growth environments where adaptability and rapid iteration are key. Proven history of shipping high-quality products and services.Technical Management Depth: You have significant experience in software engineering and have successfully managed engineering teams that build and operate foundational services or internal developer platforms.AI / ML Experience: Direct experience or a strong demonstrable passion for leveraging AI machine learning or advanced data tooling to drive product innovation and improve internal efficiencies.Complex Initiative Delivery: Track record of iteratively delivering and sustaining large long-running technical initiatives through ambiguity and complexity.Architectural Acumen: Solid understanding of modern software architecture principles with experience building and scaling cloud-native applications and microservices.Customer Empathy: Deep customer empathy able to understand developer pain points and translate them into impactful platform features.Communication & Influence: Excellent communication and influence skills.Critical Thinking: Ability to think critically navigate complex technical challenges and make effective data-informed decisions.How Youll ContributeCommitment to Excellence: Sets a high bar for self and team with a proven history of driving towards long-term goals and a passion for quality and impact.Adaptability and Problem-Solving: You effectively navigate ambiguity and complexity maintaining a focus on solutions and guiding your team through challenges with a positive can-do attitude.Impact Driven: Persistent focus on driving measurable results using metrics to guide decisions and demonstrate the impact of your teams work.Collaborative & Ethical: Acts with integrity and a collaborative spirit contributing positively to the team and the wider work environment.People Development: Passion for developing people and building inclusive high-performing and empowered teams.Growth Mindset: Demonstrates genuine eagerness to learn develop and grow. Believes that skills are developed through effort and sees setbacks as learning opportunities.Curiosity (Especially in AI): Naturally curious and proactive in staying current with technological advancements particularly in Artificial Intelligence and thinks critically about its application.Receptive to Feedback: Actively seeks accepts and implements feedback as a critical tool for personal and team improvement.Self-Awareness: Demonstrates ability to reflect on own performance and personal growth understanding strengths and areas for development.BenefitsTime off – 27 days holiday plus 7 additional days off: 1 life event day 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per yearHealth & Wellness- private medical Insurance with Bupa a medical cashback scheme life insurance gym membership & wellness resources through Gympass and access to Spill – all in one mental health supportHybrid work offering – we collaborate in the office 3 days per weekWork-from-anywhere scheme – youll have the opportunity to work from anywhere up to 10 days per yearTeam fun – weekly socials company-wide events and office snacks!Our commitment to Diversity Equity and InclusionWere 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 WorkDo 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.SafeguardingAll 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. Required Experience:Manager Key Skills Data Center Experience,ArcGIS,Cloud Infrastructure,Construction Estimating,Go,Mathcad,React,Redux,AWS,Software Development,Auto Estimating,Distributed Systems Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1
Senior Engineering Manager - Platform employer: Dr Jobs
Contact Detail:
Dr Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineering Manager - Platform
✨Tip Number 1
Familiarise yourself with the latest trends in AI and tech, especially how they relate to upskilling and education. This knowledge will not only help you during interviews but also demonstrate your genuine interest in Multiverse's mission.
✨Tip Number 2
Network with current or former employees of Multiverse on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Senior Engineering Manager role.
✨Tip Number 3
Prepare to discuss specific examples of how you've led engineering teams through complex projects, particularly those involving AI or cloud-native applications. Highlighting your past successes will showcase your capability to drive innovation at Multiverse.
✨Tip Number 4
Demonstrate your understanding of performance metrics and how they can be used to measure team success. Be ready to share how you've implemented KPIs in previous roles to improve productivity and product quality.
We think you need these skills to ace Senior Engineering Manager - Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in leading engineering teams and managing complex technical initiatives. Use specific examples that demonstrate your ability to drive innovation, particularly in AI and tech.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and how it aligns with Multiverse's mission. Discuss your leadership style and how you foster high-performing teams, as well as your vision for leveraging AI in product development.
Showcase Your Technical Skills: Clearly outline your technical capabilities, especially in software engineering and cloud-native applications. Mention any experience with AI/ML tools and how you've used them to enhance productivity or product features.
Highlight Your Adaptability: Provide examples of how you've successfully navigated ambiguity and complexity in previous roles. This will demonstrate your problem-solving skills and your ability to lead teams through challenges in a fast-paced environment.
How to prepare for a job interview at Dr Jobs
✨Showcase Your Leadership Skills
As a Senior Engineering Manager, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully developed high-performing teams in the past, focusing on collaboration and continuous improvement.
✨Align with Company Values
Multiverse values adaptability and a growth mindset. Be ready to discuss how you embody these traits and how you've navigated complex challenges in previous roles, particularly in dynamic environments.
✨Demonstrate Technical Acumen
You should be prepared to discuss your experience with software architecture and cloud-native applications. Highlight specific projects where you've made architectural decisions that led to scalable and maintainable solutions.
✨Emphasise AI and Innovation
Given the focus on AI at Multiverse, share your experiences with AI and machine learning. Discuss how you've leveraged these technologies to drive product innovation and improve efficiencies in your previous roles.