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.

THE OPPORTUNITY

Enterprise Trust & Reliability (ETR) turns enterprise trust into enterprise revenue. It's where enterprise buyers decide whether

they can adopt us: the compliance posture and evidence base we sell on, the operational reliability that keeps us dependable at

scale, and the integrations and partnerships that make Multiverse procurement-ready. Far from a support function, it's the layer

that makes enterprise adoption possible and drives client partnerships and revenue at scale.

You'll lead the engineering for two of ETR's groups, Commercial Tech & Integrations and Stability & Operations: around seven

engineers across the two, and the mandate to shape how they work.

WHY THE ROLE EXISTS

ETR is a newly formed function, built by bringing commercial integrations and operational reliability together because enterprise

buyers make or break AI deals on exactly those things. You're the first dedicated engineering manager for these teams, with the

mandate to build how they work from here: technical direction alongside the tech leads, delivery rhythm, growth plans, the hiring

bar, on-call practice, all of it. You’ll report into the Single Threaded Leader for the function and together you will shape an

evolving function - if you want to set the technical playbook, this is the role.

THE TEAMS YOU'LL LEAD

Commercial Tech & Integrations (CTI) bridges what we sell and what we ship, making Multiverse demonstrable, sellable, and

procurement-ready. It owns key cross functional services, CRM data flows into product, customer onboarding friction reduction, and

integrations into customer systems (e.g. LMS/KMS). It also runs vendor and partner integrations, including Anthropic. The

engineering challenge is building clean, well-tested APIs and integrations that hold up under enterprise security reviews.

Stability & Operations (S&O) keeps the platform dependable as it scales: incident management and the severity model, service-level

objectives (SLOs) and error budgets, observability and DORA (DevOps Research and Assessment) delivery metrics, the on-call

rotation, and the technology evidence base the business needs as it approaches IPO. The engineering challenge here is reliability

designed in rather than bolted on, and a fast, calm path from "something's wrong" to "it's fixed."

Between them, these two teams carry the things enterprise buyers test hardest: can you integrate with us cleanly, and will you

stay up. You own the engineering health and delivery of both.

WHAT YOU'LL DO

You'll own delivery, technical direction, and team health across CTI and S&O:

Lead the engineers. Line-manage the seven-or-so engineers across the two groups: growth plans, coaching, performance, and

wellbeing, to a high bar, with no surprises at review time.

Own delivery and technical direction. Partner with the tech leads on architecture, and hold the standard for how the teams

design, review, and ship across two quite different technical domains.

Hire and raise the bar. Fill the open seats using our High-Agency & AI-Native question bank and a live AI build stage, and

build a team that stays strong as it grows.

Drive an AI-native operating rhythm. Engineers using Claude Code and agentic tooling hard, with tighter

discovery-to-build-to-review loops, and you modelling it in how you run the teams.

Own the operational backbone. On-call health, incident practice, and clear, proactive communication when things go wrong, so

reliability is a habit rather than a fire drill.

WHAT WE'RE LOOKING FOR

Engineering management at depth. You've managed engineers building and running production systems, and you can speak to the

teams you've grown, the delivery you've owned, and the performance calls you've made.

Technical range across both domains. You needn't be the deepest expert in either, but you hold your own with senior engineers

on both sides: integration and API design, identity and SSO, and third-party systems on the CTI side; reliability,

observability, incident response, and SLOs on the S&O side. You can steer a design review, challenge an estimate, and make a

sensible build-versus-buy or sequencing call. This isn't a hands-on coding seat, but it is an engineering one.

Delivery through ambiguity. You've kept teams shipping when the structure wasn't fixed, and can talk to how you balanced pace,

quality, and people.

You grow people. Engineers you've coached, mentored, or levelled up, and a real preference for people leadership as the job.

AI-native by default. You work with AI tooling day to day and expect your engineers to, and you can tell AI-assisted speed from

AI-shaped slop.

WHAT WE OFFER

Pre-IPO equity with runway to vest before a potential exit. An AI-native engineering environment built around tools like Claude

Code. And dynamic re-teaming: you accumulate breadth across missions rather than depth in one fixed lane, and your development

travels with you through every team change. Because this mandate is first-of-its-kind, you're defining how engineering management

works here, not stepping into someone else's template.

NOT FOR YOU IF

You want to stay predominantly hands-on in the code (we value and pay the engineering track equally), or you see management as a

stepping stone rather than the work itself.

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.

Role

Senior Engineering Manager - Enterprise Trust & Reliability

Location

London, United Kingdom

Published

July 29

Deadline

September 3

Source

Employer website

Tags for this job

DevOps AI Go Rust

Similar Jobs

Engineering Manager | Enterprise Acceleration

DeepL•London

MEET DEEPL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. WHAT SETS US APART What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn,Instagram, and our Blog. MEET THE TEAM The Acceleration team is a software engineering function within DeepL's Enterprise organisation, responsible for the internal platforms and automation that power DeepL's commercial operations. We own the systems that keep our commercial workflows running reliably, and we build the tooling that lets teams across the business move faster and operate more independently. We work closely with GTM, Sales, Finance, Product, and platform engineering, and we hold a high bar for quality in a domain where reliability and data integrity matter. Your Responsibilities * Own the engineering delivery of the team — set the pace, hold the bar, and remove blockers to ensure consistent, predictable output across active development and ongoing system ownership. * Partner with Product and commercial stakeholders to define and maintain a prioritised roadmap, balancing strategic product investment against the steady-state ownership of a critical internal tooling estate. * Build and develop a high-performing team — hire deliberately, onboard engineers with care, grow talent through structured development conversations, and manage performance directly when needed. * Represent your team's delivery health and technical direction to senior stakeholders across the business, establishing yourself as a credible engineering partner to leadership. * Maintain technical engagement at the right level: make sound architectural trade-off decisions, enable your engineers to do their best work, and stay close enough to the system to identify risk early. * Drive cross-functional alignment across GTM, Sales, Finance, Product, and platform engineering — build the working relationships that reduce friction and unlock fast, independent delivery. * Shape the team's operating cadence — ceremonies, planning, feedback loops — in a way that matches the pace and complexity of the work without adding unnecessary overhead. * Identify and escalate risks early, with a clear point of view on what needs to change. Qualities We Look For * Proven track record as an Engineering Manager with direct line management of engineers building complex software products in a fast-moving environment. * Strong delivery instincts — you have established or rebuilt delivery cadences on teams that needed them, and you know how to maintain velocity when priorities shift. * Technical credibility: you engage comfortably in architectural and system design conversations, your engineers trust your technical judgement, and you are not a pure process manager. * Experience navigating cross-functional stakeholder complexity — you translate engineering trade-offs into commercial language and push back constructively on scope creep. * A thoughtful, deliberate approach to people leadership — you hire with intention, develop engineers systematically, and address underperformance with directness and care. * Comfort managing concurrent workstreams of different types — you can hold both active product development and ongoing system maintenance without either drifting, and you make deliberate trade-off decisions when priorities compete. * Comfort operating with ambiguity and evolving context — you bring structure without imposing rigidity. * A background in B2B SaaS or any environment where engineering decisions have direct commercial or operational impact is welcome. WHAT WE OFFER * Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. * Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. * Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration. * Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that’s why every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and rewarding you with a stake in our future. * Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally. * Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity. * 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. * Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you! #LI-JL1 WE ARE AN EQUAL OPPORTUNITY EMPLOYER You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.

Deadline: Sep 3Posted: Jul 22

ReactAIGo

Technology Manager, AI & Data

Engelhart•London

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners. This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot. ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling. BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures. ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field. * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment. * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent. * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support. * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows. * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns. * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices. * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling. * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions. * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support. * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels. * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land. In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering. * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools. * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence. * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act. * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems. * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive. * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling. * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling. * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows. * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners. WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan. * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company. * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

Deadline: Aug 16Posted: Jul 13

Senior Product Marketing Manager

Modulr•London

Senior Product Marketing Manager London Full-time In office 4 days/week * Are you looking for a high-ownership role defining how a fast-growing payments automation platform shows up in its highest-value industries? * Can you balance rigor with pace, and strategy with hands-on craft? If so, we would love to hear from you! Who We Are Modulr is the payments automation platform that streamlines money movement with accuracy, control and reliability – built to scale. We process more than 200m transactions and over £180bn in payment value on an annualised basis, and we're trusted by over 6,000 businesses from fast-growing SMEs to global enterprises. We automate how money moves into and out of a business – payroll, supplier payments, spend management and payment collection – through a single platform, connected to the accounting and payroll systems finance teams already use and underpinned by principal memberships of Visa and Mastercard and direct access to central bank infrastructure. As a regulated payments provider with over a decade of experience, we're the platform finance teams trust to run mission-critical operations. Modulr is backed by PayPal, FIS, General Atlantic, Blenheim Chalcot, Frog Capital and Highland Europe, with over 400 employees across London, Edinburgh, Amsterdam and Mumbai. Find out more about us on our website and careers site. What You’ll Do Positioning & Narrative * Define sharp, differentiated positioning for Modulr's Travel and Lending solutions – grounded in deep customer insight, competitive understanding and a clear point of view on where we win. * Translate a technically rich payments platform into clear, compelling messaging that resonates with finance, operations and commercial buyers. * Set a high bar for narrative consistency and storytelling craft across every vertical touchpoint. Vertical Go-to-Market * Lead end-to-end GTM strategy and execution for Travel and Lending. * Build a scalable model for how Modulr enters, expands and doubles down in industry verticals. * Partner with Product on roadmap prioritisation, shaping what gets built and how it reaches the market. Sales Enablement & Revenue Impact * Arm the commercial team with assets that really move deals – pitches, sales decks, one-pagers, demo narratives, competitive battlecards and win stories. * Support the team on driving measurable improvements in pipeline quality, win rates and deal velocity in your verticals. * Work closely with Sales leaders to translate customer insights into messaging and enablement that reflects how buyers really make decisions. Market & Customer Intelligence * Build a deep understanding of each vertical – buyer personas, buyer journeys, regulatory context, competitive landscape and unmet needs. * Synthesise customer conversations, win/loss and usage data into actionable insights that shape product, marketing and sales decisions. * Become the person leaders across Modulr turn to when they need a clear read on a vertical. Launches & Campaigns * Own launch plans for new vertical propositions and product updates – from positioning to activation across web, events, press and demand generation. * Partner with Brand, Content and Demand Generation to turn vertical narratives into campaigns that build category authority and pipeline. * Drive the quality and consistency of vertical storytelling across the website and key growth surfaces. What you’ll need * Experience. 6+ years in product marketing or product strategy in B2B SaaS, fintech or payments – with a strong track record of marketing to mid-market and enterprise buyers. Vertical or industry-led GTM experience is a significant plus; payments or fintech experience is preferred but not required for the right generalist. * Strategic thinking. You form sharp points of view, work from first principles, and can turn complex, ambiguous inputs into a clear strategic direction. * Storytelling & craft. An exceptional communicator who can make a technically rich product feel simple, differentiated and genuinely compelling – to finance leaders, operators and commercial teams alike. * Commercial orientation. You think in terms of pipeline, win rates and revenue – not just launches and assets. You partner naturally with Sales and are energised by driving commercial outcomes. * Technical fluency. Comfortable engaging credibly with Product and Engineering on how the platform actually works, and confident translating that into buyer value. * Influence & ownership. You lead cross-functionally without needing authority, push work forward through ambiguity, and elevate the quality of everyone around you. * High expectations. You hold a high bar on messaging precision, visual presentation and the quality of what goes out the door. You use data to make decisions, measure impact and iterate quickly. What We Offer You * Share Options – We offer a Company Share Option Plan (CSOP), giving you the opportunity to benefit from any increase in share value in the event of a sale, merger, or flotation. * Bonus – Our annual discretionary bonus, paid in May for the previous year, is based on both company and individual performance. * Flexible benefits - £1000 to spend on benefits to suit you, including private medical insurance, gym membership, dental etc. * Wellbeing app – confidential, on-demand access to therapy, coaching, counselling, management training or mindfulness sessions with accredited professionals, with company-funded hours and top-up options available. * Holidays - 33 days annual leave (including bank holidays) plus your birthday off. In the UK, Christmas Day, Boxing Day, and New Year’s Day are fixed holidays. You can choose the remaining days to suit your personal schedule. * Learning opportunities- Our two-day onboarding program, ModStart, helps equip you for success. Learning doesn’t stop there; we’ll continue to support your development through various channels.  * Company-Wide Events - Participate in collaborative and engaging events with colleagues across the business. * Bike to work / E-bike scheme ModInclusion At Modulr, we’re committed to building a diverse, equitable and inclusive culture where everyone feels they belong and can bring their whole self to work. We welcome applications from candidates of all backgrounds as we believe it’s the right thing for our people, our business, and the community we operate in. By submitting your CV, you consent to us using your personal data to assess your application, contact you, or share your CV with relevant hiring managers. You can request removal of your data at any time by emailing peopleops@modulrfinance.com - though this will withdraw you from consideration for the role.

Deadline: Aug 16Posted: May 8