
Scarlet · London
We pull medical technology from the future to solve human health. Authorised by governments around the world to assess medical AI, we remove unnecessary del...
We pull medical technology from the future to solve human health.
Authorised by governments around the world to assess medical AI, we remove unnecessary delays from every regulatory approval we do
so patients get devices from the future, today. We are proud to count the world’s most ambitious companies building medical
technology as customers. You will be joining a team with product-market fit, flowing data, and exponentially growing revenue.
Scarlet’s expert evaluators are an integral part of our ability to efficiently certify cutting-edge healthcare innovation. Today,
we operate with an in-house team of assessors and auditors, supplemented by a network of deeply specialised, independent experts.
As we scale, so will this network of independent experts, and the complexity of recruiting, qualifying, training, managing, and
deploying them.
This is a foundational hire. You will own the design and build-out of our freelancer operating system - the people processes,
tooling, and frameworks that determine how we attract, onboard, develop, and deploy the experts at the heart of our certification
work. You will also hire some of our first freelancers yourself.
intuitive understanding of what excellence and cultural fit look like. You also understand that the people in our network are
experts with choices, and you know how to attract and retain them.
doing it. You get a kick out of designing efficient processes and optimising workflows.
multi-jurisdiction contracting, and technical subject matters do not intimidate you. You get energy from ambiguity and the
chance to define something that doesn't yet exist.
freelancer, or contractor management.
This role will be responsible for building the freelancer operating system from scratch. It will involve a lot of cross-functional
collaboration to ensure the process works for all teams it touches.
monitoring, performance management, and offboarding of freelance auditors.
competence teams to define the right profiles. Eventually, build the systems to support international hubs of the best talent
in the healthcare space.
communication tools) that will underpin the freelancer programme. When needed, call in help from our in-house engineers to
build out dedicated tools.
Scarlet’s objectives, and are structured correctly across different jurisdictions, reflecting Scarlet's regulatory obligations.
onboarding curricula and ongoing development pathways that keep our contractor auditors/assessors sharp and accredited.
feedback, and continuously improving the experience.
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. Summary As Head of Data Operations, you will be the operational backbone of Multiverse's D&I team. You will ensure that our work is well planned, properly resourced and consistently delivered — while also coordinating the processes that keep the D&I team running smoothly, and directly managing and developing our Analytics Engineers and Analytics Developers. This role sits within the D&I team, reporting to the VP of Data & Insight. You will collaborate closely with our Director of Data Engineering and Domain D&I Leads, as well as engaging with company-wide processes and cross-functional teams. Success requires a highly organised, people-focused operator who thrives on bringing structure, clarity and momentum to a fast-moving technical team. What you'll focus on Deliverable Planning, Resourcing & Monitoring * Owning D&I's operational planning process — ensuring that projects and deliverables are properly scoped, clearly defined and appropriately resourced * Working with the Director of Data Engineering and Domain D&I Leads to translate roadmap priorities into well-structured plans with clear owners, timelines and dependencies * Monitoring progress against project milestones — proactively identifying risks, flagging blockers and coordinating solutions to keep work on track * Managing team capacity across Analytics Engineers and Analytics Developers — driving optimal allocation and dynamic reallocation of resource as priorities evolve Team Process Coordination * Driving D&I's team ceremonies — including sprint planning, standups, retrospectives and quarterly planning sessions — ensuring they are well run and action-oriented * Owning the triage and coordination of inbound support requests from across the business — ensuring they are prioritised fairly, assigned appropriately and resolved in a timely manner * Representing D&I within Multiverse-wide planning and coordination processes — including contributing to the company roadmap process and engaging with Tech and Ops support functions on behalf of the team * Maintaining D&I's team tooling (e.g. Asana, Claude) to ensure work is well tracked, visible and up to date * Acting as a key point of coordination across the D&I team — keeping communication flowing, reducing friction and helping the team focus on high-impact work Process Improvement & Standardisation * Identifying and implementing improvements to D&I's ways of working — making our delivery processes more consistent, efficient and scalable * Developing and embedding operational standards and best practices across the team — including how we scope work, manage handoffs and document outputs * Building and maintaining playbooks and templates that help the team deliver consistently high-quality work with less overhead * Tracking D&I's own operational metrics (e.g. project velocity / support throughput) to drive ongoing improvement Team Coaching & Development * Directly managing approx Analytics Engineers and Analytics Developers — providing day-to-day guidance, support and oversight * Conducting weekly 1:1s and periodic development conversations, helping team members set meaningful goals and grow within their roles * Identifying skill gaps and coordinating appropriate learning opportunities — whether through formal training, peer learning or on-the-job stretch * Fostering a high-performance team culture built on accountability, collaboration and continuous improvement * Supporting the recruitment and onboarding of new Analytics Engineers & Analytics Developers as needed Collaboration & Stakeholder Support * Acting as a reliable operational point of contact for internal stakeholders — managing expectations, communicating progress and helping to navigate competing priorities * Working closely with the Director of Data Engineering and Domain D&I Leads on cross-team prioritisation, resourcing and dependency management * Engaging with Multiverse's Tech and Ops teams to ensure D&I's ways of working are well integrated with broader organisational processes and standards * Supporting the VP of D&I on team-wide communications, planning and operational initiatives What we're looking for Required Experience & Skills 6+ years of experience in data, analytics or technical operations — ideally within a fast-growing tech scale-up or similarly fast-moving environment * 2+ years of experience directly managing and developing technical teams (e.g. Analytics Engineers, BI Developers or similar) * Proven track record of owning delivery planning and operational coordination within a data or engineering function * Strong experience running team ceremonies and agile-style processes effectively * Experience triaging and managing inbound support requests across a multi-stakeholder environment * Experience engaging with company-wide planning processes (e.g. roadmap contribution, cross-functional coordination with Tech or Ops teams) * Hands-on experience with project management tooling such as Asana, Jira or similar * A genuine passion for people development — with the ability to coach, challenge and support individuals at different stages of their careers * Highly organised with exceptional attention to detail and strong prioritisation skills * Clear, confident communicator — able to translate complex plans and issues for both technical and non-technical audiences * Pragmatic problem-solver who brings calm and clarity in fast-moving, ambiguous situations * Familiarity with modern data tooling and analytics workflows (specific technical depth not required, but confidence navigating a data-heavy environment is essential) * Right to work in the UK * Ability to work from the Multiverse London office 3+ days per week * Commitment to Multiverse's mission and values 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.
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This is a brand new role created to bridge the gap between application development and platform engineering - creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high-impact role with real scope to influence how engineering works at Liberis! What you'll get to do in the role: * Own and evolve the service template library for .NET, Node.js, and Python — covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters. * Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning, and deployment — consistent across stacks and reusable across teams. * Define and ship observability standards: structured logging, distributed tracing, and alerting integrated into service templates so every new service is production-ready from day one. * Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into. * Contribute to our thinking on a potential Azure-to-GCP migration — helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision. * Partner with product engineers to understand where developer experience breaks down — slow pipelines, confusing templates, missing runbooks — and fix the root causes, not the symptoms. * Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. * Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling. The interview process: * Screening call with Chess (Internal Recruiter) (30 mins) * Video interview with the Hiring Manager (45 mins) * In person code pairing interview with a member of Engineering team (1 hour) * Video interview with the wider Liberis team (1 hour) What we think you'll need: * Proficient in at least one of .NET (C#), Node.js and Python — able to build, configure, and template production-grade services in each. * Strong GCP experience (Azure experience is nice to have) * Hands-on experience designing reusable CI/CD pipeline templates — GitHub Actions or Azure DevOps — consistent across stacks and teams. * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Observability experience with at least one of: Datadog, incident.io, or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * Infrastructure-as-code with Terraform. * A proven track record of driving adoption — building things engineers use, writing docs that get read. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. The role: Joining our Cloud Platform team as a Lead DevEx Engineer, you will play a key role in improving how engineers build, ship and operate services across Liberis. This is a brand new role created to bridge the gap between application development and platform engineering - creating a more consistent, scalable developer experience as we continue to evolve our platform strategy. You will focus on building for engineers - creating and shaping the templates, standards and foundations used across services. Alongside this, you will have the opportunity to contribute to emerging platform initiatives, including work that supports AI enablement across the engineering organisation. This is a high-impact role with real scope to influence how engineering works at Liberis! What you'll get to do in the role: * Own and evolve the service template library for .NET, Node.js, and Python — covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters. * Build and maintain CI/CD pipeline templates in GitHub Actions and/or Azure DevOps, covering build, test, security scanning, and deployment — consistent across stacks and reusable across teams. * Define and ship observability standards: structured logging, distributed tracing, and alerting integrated into service templates so every new service is production-ready from day one. * Work hands-on with Datadog, incident.io, and/or GCP/Azure-native logging and monitoring tooling to build the platform-level observability layer teams plug into. * Contribute to our thinking on a potential Azure-to-GCP migration — helping assess what changes for developer tooling and service templates and building proof-of-concept work that informs the decision. * Partner with product engineers to understand where developer experience breaks down — slow pipelines, confusing templates, missing runbooks — and fix the root causes, not the symptoms. * Lead technical decisions on platform tooling: evaluate new tools, write ADRs, and drive adoption of improvements across multiple engineering teams. * Mentor engineers in the Cloud Platform team and act as a go-to resource for product engineers getting to grips with platform tooling. The interview process: * Screening call with Chess (Internal Recruiter) (30 mins) * Video interview with the Hiring Manager (45 mins) * In person code pairing interview with a member of Engineering team (1 hour) * Video interview with the wider Liberis team (1 hour) What we think you'll need: * Proficient in at least one of .NET (C#), Node.js and Python — able to build, configure, and template production-grade services in each. * Strong GCP experience (Azure experience is nice to have) * Hands-on experience designing reusable CI/CD pipeline templates — GitHub Actions or Azure DevOps — consistent across stacks and teams. * Comfortable with containerisation (Docker) and deployment on Kubernetes or Cloud Run. * Observability experience with at least one of: Datadog, incident.io, or cloud-native logging and monitoring (GCP Cloud Operations or Azure Monitor). * Infrastructure-as-code with Terraform. * A proven track record of driving adoption — building things engineers use, writing docs that get read. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1