Senior Engineering Manager

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.  With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ ----------------------------------------------------------------------------------------------------------------------------------   📍London or Remote (UK) | 💰 £138,000 - £175,000 + Equity + Benefits  About the Role  This role is for a Senior Engineering Manager where you’ll be a manager of managers. You will be leading across multiple teams in an org of around 20-30 people. We’re expanding and your role as the Senior EM will be to grow and build new squads as needed. Your direct reports will include Tech Leads, Senior Engineers and 2-3 Engineering Managers. Senior Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. Senior Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. You’ll be responsible for structuring, organising, supporting and challenging your team to deliver on their mission. You can read more on the expectations of Senior Engineering Managers in our Progression Framework. Is this role right for you? While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles. We recognise that Senior Engineering Managers lead in different ways, we’re looking for someone who is adept at:  * Delivery and Execution: Enjoys taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager. * Engineering and Operational Excellence: Actively fosters a high bar for engineering excellence within your teams. You’re accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. * People Leadership: Has experience directly managing at least 2-3 Engineering Managers and leading orgs of around ~20 engineers. You can support, coach and develop them through their career with regular 1:1s and continuous feedback. * Technical Influence: Partners with senior engineers to drive technical initiatives that raise the bar for our engineering practices. * Stakeholder Relationships: Builds strong stakeholder relationships with other teams, and creates a focus space for engineers to do their best work. * Organisational Wide Impact: Collaborates with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards. We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. How we work 💻: Locations & Flexible Working :  Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles.  We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance.  You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ Work the way that works for you with Monzo! 💼 The interview process: After an initial informal recruiter call you go through two main stages 1. Initial Call (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They’ll ask example based questions (‘Tell me about a time when…’) 2. Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage and the interviews in this stage are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They’re interested to hear examples from your previous experience on the teams you’ve led, how you’ve shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams – whatever’s on your mind.  All things going well, you'll have completed the hiring process 🚀 Our average process takes around 3-4 weeks but we will always work around your availability. You’ll have the chance to speak to our recruitment team throughout the process.  What’s in it for you: 💰 £138,000 - £175,000 + Equity + Benefits  ✈️ We can help you relocate to the UK   ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here #LI-Remote #LI-AL1 ---------------------------------------------------------------------------------------------------------------------------------- Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

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 April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double 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. WHY THIS ROLE EXISTS Every foundation model lab is solving the same problem: build more capability. Almost nobody is solving the harder one — what happens when that capability meets a real organisation and real people who have to relearn how they work. That's the adoption layer, still wide open, and Multiverse sits in the unique position to solve this problem with ten years of proprietary learner and employer data driven from 1,500+ companies that no one else has. Diagnose & Prescribe (D&P) is the engine room of that problem. It works out what a learner or employer actually needs, then decides what they get funded for and which apprenticeship or learning path they're pointed to next. D&P is how we assess a learner's or employer's skill gaps, decide what they need, and point them to the right apprenticeship or learning path — so the blast radius here is human and financial, not just a dashboard metric. The line between leading this team and building the product has already blurred, which is why this role exists as it does. We need a leader who stays close enough to the work to have credible judgment in it, and who builds a high-trust team where diverse perspectives actually make the problem-solving better. This is a broad, domain-coherent, event-driven and increasingly AI-native estate. The dominant challenge isn't deep algorithmic difficulty in any single repo — it's holding the whole D&P picture, sequencing work across varied services, and keeping load-bearing decisions safe as the system evolves underneath you. WHAT YOU'RE SIGNING UP FOR * A genuinely unsolved problem — the constraint here is people and adoption, not model capability. * High agency. We set outcomes, not playbooks. You and your team define how this evolves. * Real commercial breadth. This team sits at the intersection of Product, go-to-market, and eligibility — closer to the customer than most engineering roles. * Craft that's respected, not traded off. Strict typing, layered testing, ADRs, observability — and AI-native ways of working as the baseline, not an experiment. * A company mid-transformation, told straight. Multiverse is rebuilding itself into a product-powered, AI-native company in real time. You're not inheriting a finished system — you're one of the people defining it. WHAT YOU'LL DO You will own delivery, technical direction, and team health in the D&P service estate — the full learner and customer journey from diagnosis through prescription to onboarding and growth tracking. Concretely, that means leading the team(s) across surfaces like: * Diagnosis & needs assessment — AI-heavy services (retrieval-augmented generation (RAG), LLM-scored assessment) that turn raw signal into a picture of where a learner or employer actually is. * Prescription & eligibility — build the product which helps learners and customers understand the best learning course for their skills and career development, that leverages a customer's levy funds. Much of this is load-bearing logic with a genuine financial and regulatory blast radius. * Recommendation & onboarding — turning a diagnosis into the right prescribed path and getting learners into it, where those decisions become visible to customers and learners. * The platform arc — continuing to carve D&P logic out of the shared legacy monolith into dedicated services, while backing the newer AI-native product from beta toward scale. * Coach and build the team. Hire well, give every report a real growth plan, and move the team into a high-performing, AI-native operating rhythm — promotions and performance issues are never a surprise. * Stay hands-on. Whiteboard distributed designs, review and negotiate the RabbitMQ event schemas and API contracts that ripple across services, and write production code yourself when it's the fastest way to de-risk or unblock. * Deliver predictably. Use cycle time, change failure rate, and MTTR to balance shipping speed, debt, and change-safety on logic with genuine financial and regulatory blast radius. * Raise the AI-native bar. Prove better discovery-to-build-to-review loops on your own team and share what works across engineering. * Partner on strategy. Work directly with Product and Design — and closely with go-to-market — to turn learner and customer behaviour into technical direction on the surfaces where eligibility and recommendation decisions become visible to real customers. WHAT WE NEED A few terms you'll see below: D&P (Diagnose & Prescribe, this team's name), BAM (our hiring framework — Behaviour, Achievement, Mastery), ADRs (architecture decision records), IfATE (the UK body governing apprenticeship standards). * Engineering management of full-stack teams shipping production software, with real technical depth to review architecture and challenge design. * A team you led has shipped AI features to real users and operated them — not a side experiment. * Strong Python/TypeScript (if you don’t have Typescript, you will need to learn): React/Next.js (App Router, RSC, server actions), tRPC/GraphQL, Node/Express. * PostgreSQL at scale via an ORM, with migration discipline on large, live schemas. * Event-driven systems on a message bus (we use RabbitMQ) — versioned events, idempotency, backward-compatible migration. * A high engineering maturity bar as second nature: typing, testing, feature flags, ADRs, CI/CD, observability. * AI-native delivery in practice — you build daily with Claude Code, Cursor, or the current best tool, and understand context management, model selection, tool design, and the token economics that separate a prototype from an affordable production system. WHAT SETS YOU APART * GTM/acquisition-funnel experience — you've owned surfaces where onboarding and eligibility meet real customers. * Strangler-pattern pragmatism — legacy monolith and greenfield edge-native product, at the same time. * Accessibility and UX as defaults on learner-facing surfaces, not afterthoughts. NOT FOR YOU IF This role won't fit if you'd rather run ceremonies than stay in the system, the design, and the code yourself. It also won't fit if you see AI tooling as a productivity tweak rather than a step change in how a team works. And it needs someone who renegotiates the scope out loud when it's wrong, not someone who absorbs it and hopes it works out. STACK & HOW WE LEAD TypeScript core (React/Next.js, Node) with PostgreSQL and RabbitMQ as the event backbone, plus Python and Elixir services — from RAG pipelines to a Claude-powered edge-native product. GitHub, CircleCI, Datadog. AI-assisted development is first-class, not bolted on. You'll lead full-stack engineers (with Python/Elixir specialists), report to the Senior Director of Engineering for Diagnose & Prescribe, and calibrate regularly with a peer group of EMs — you're not doing this alone. We reject micro-management: we set the objective, you and your team own the how. Kindness, candour, and curiosity over hierarchy — bad news travels as fast as good. 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 - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! 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. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.