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Design and build multi-branch HubSpot workflows from scratch, not just editing existing sequences. Architect lead scoring models tailored to property management buyer behavior.

Channel Account Managers are part of a team at Huntress who play a critical role in driving revenue through engagement, expansion, and retention across our partner base. Act as a trusted advisor to customers, delivering solutions that increase satisfaction, strengthen Huntress adoption, and create measurable value across their environment.

Senior Channel Account Managers at Huntress play a critical role in driving revenue through engagement, expansion, and retention across our partner base. Achieve and exceed quota based on expansion performance and renewal outcomes.

Conduct outbound calls to physicians, discharge planners, hospice agencies, senior living communities, and skilled nursing facilities throughout Southern California.

We are looking for a versatile, growth-minded Product Marketing Manager to lead our strategic expansion into the furniture segment. You will be responsible for turning our product’s value into aggressive market traction, focusing on tactical adoption of successful industry strategies over theoretical benchmarking.

Talk with dog owners who reached out for help (warm inbound and follow-up leads, no cold calling). Learn their dog, their home and their goals, then match them to the right training program.

They are now seeking to hire a CSR Admin to provide frontline customer service and administrative support to the operations team. This role focuses heavily on lead management, customer confirmations, scheduling, and follow-ups to ensure seamless daily operations.

We are seeking a dedicated, highly reliable, and detail-oriented Bookkeeper & Admin Support Specialist to manage day-to-day financial operations across three related entities. This role is designed for a self-motivated professional who takes true ownership of their work.

This is a post-sale, account-first role. You'll carry a book of client-assistant pairings and be accountable for how well each one works — from day one of onboarding through every milestone after.

We are looking for a highly organised and proactive E-commerce & Operations Coordinator to support the day-to-day operations of a growing wellness brand across New Zealand and Australia. Manage customer enquiries across email, live chat, helpdesk, website, and social media channels.

Are you the person who never lets an interview slip through the cracks? We’re looking for a highly reliable coordinator to ensure every scheduled interview happens smoothly.

Answer incoming customer calls during peak times when the Australian team is busy. Respond to customer emails and support tickets within the help desk.

Outbound Wellness Care Representatives. based anywhere in Mexico to support veterinary clinics across the United States.

Location: Intellias Meet your recruiter Dariia Ulianova dariia.ulianova@intellias.com https://www.linkedin.com... Vacancy details Business Analysis Business Analyst Senior Business Analyst Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND We are hiring a Business Analyst to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. You will bridge the client’s domain owners and stewards on one side and the delivery engineers on the other, and you will own the backlog in Azure DevOps. What project we have for you Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. What you will do Data Modelling Run data modelling workshops with business SMEs, domain owners, analysts. Design conceptual and logical data models across multiple business domains, working from business definitions as well as from existing data structures in mastering systems. Model business complexity appropriately: e.g. class hierarchies, inheritance, controlled vocabularies, reusable patterns, shared data domains, business rules, and define where cross-domain references exist. Present models back to stakeholders for review, information-sharing, and agreement Ensure every model element traces back to a business term from data governance, and that the trace survives all the way to the delivered column. Help to resolve conflicts or missing inputs/outputs where they exist Review other domain data models from the modelling team. We envisage a small team of modellers who contribute to the federated data model as a whole. Standards and federation Contribute to and enforce the modelling standards that make federated delivery safe: naming conventions, data type standards, model layering rules, and the conventions that prevent domains colliding as the model grows Define reusable enterprise-level structures — shared types, reusable/common patterns, balancing core versus domain-local Delivery and automation Work in Git and GitHub as your primary environment: branches, pull requests, code review, releases Review model changes raised by others — including, ultimately, any changes drafted by AI agents — and apply the judgement that automated checks cannot Version models, assess the impact of breaking changes on downstream consumers in order for migration planning Contribute to the automated checks that enforce standards in CI, in collaboration with engineering Have input into the logical-to-physical mapping — deciding and documenting where a normalised structure can/should be denormalised for query performance or analytics (e.g. a data product), an define agreed and named patterns for these transformations rather than ad-hoc judgement so they can be automated. What you need for this Key Responsibilities Substantial data modelling experience, with a track record of conceptual, logical modelling that powered physical models that went into production, consumed, iterated upon & versioned accordingly. You must be competent in the principles of abstraction, inheritance, normalisation. Experience with dimensional/denormalization techniques. Demonstrable domain knowledge in asset/investment management, or a closely related financial services area — sufficient to hold a credible conversation with a SME, e.g. a portfolio manager, a fund accountant or a risk analyst about what their data actually means. We are building out domain by domain. You would be expected to develop working depth across more than one area. We expect some in depth asset management knowledge in at least 3 of these areas: Instrument/Security reference, Index & Benchmarks, Party, Counterparty/ Client, Portfolio, Holdings & Valuations, Execution, Trade Life cycle, Performance & Attribution, ESG/sustainability, Fund Accounting, Sales & Marketing Working fluency with Git and GitHub: branching, pull requests, resolving conflicts, reviewing others’ changes. You do not need to be a software engineer, but you must be comfortable that your model lives in a repository and moves through code review. Comfort authoring in YAML, and working with JSON data – plus the willingness to learn a schema language – prior exposure is welcome but not expected. Experience establishing or working to modelling standards — naming conventions, data dictionaries, glossaries, and the ability to add/enhance those standards as part of the platform maturation and greater automation. Soft Skills: The ability to run a workshop with business stakeholders and leave with clarity, and not a list of open questions. Precision with language. Dealing with ambiguity. Much of this role is writing definitions that all stakeholders can agree on. Nice to have: Databricks, Delta Lake or a comparable Lakehouse platform Data contracts, particularly ODCS, or equivalent interface-versioning practice CI/CD concepts Experience of developing/using agentic workflows for delivering model artefacts Experience of a federated or data mesh operating model, and its failure modes Traditional modelling tools such as Erwin, ER/Studio is useful, for reference, however our way of working will be different. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Fintech

Location: New York City, NY, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Sensor Tower is looking for an Account Manager to join our Investor team. The primary objective of the role is to maintain and grow our partnerships with key accounts by providing analytical and consultative support. Sensor Tower Account Directors enhance the overall value of our datasets by serving as a trusted resource to our Enterprise subscribers.   Base salary: $110,000 - $130,000 OTE: $150,000 - $200,000 What the Account Manager will do:   - Manage Sensor Tower’s relationship with clients in the financial services industry. - Lead renewal and upsell discussions with accounts, ensuring healthy GRR and NRR performance. Periodically create reports, presentations, and webinars relating to the Investor vertical and incorporating different methods of data analysis. - Review and analyze public financial statements to share valuable insights to clients to drive engagement. - Execute on other miscellaneous duties, as needed, while collaborating with Sensor Tower’s Team Director of Investor Sales to strategically grow the vertical (explore partnerships, attend industry events, speaking engagements, etc). Experience we are looking for:   - 3-6 years of experience working at or supporting financial services institutions in a consultative or analytical role, predominantly at an alternative data company. - Desire to interface directly with key accounts via phone, screen-share, and in person. - Comfortable juggling multiple priorities while maintaining a high standard of professionalism and follow-through - Exceptionally organized, detail-oriented, and process-driven — thrives in fast-paced environments and keeps operations running smoothly - Proficiency in financial analysis, some experience working with data, and strong Excel skills. - Excellent communicator who brings both polish and personality to internal and external interactions - Passion for new technology and some working knowledge of key Internet and TMT companies (FB, SNAP, NFLX, TWTR, SPOT, ZNGA, ATVI, etc). Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Los Angeles, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Los Angeles, CA Experience Level: 8+ years Compensation: $200,000–$250,000 base salary + equity Work Model: In-office, typically three to five days per week, depending on client requirements Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and in-office: Our work is client-first, which means in-person collaboration may be required either at the client site or at our planned Manhattan office near Madison Square Park. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the Los Angeles Metro area or within a reasonable commuting distance. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Don’t Meet Every Qualification Yet? If you don’t meet every qualification for this role, we encourage you to apply to our Forward-Deployed AI Engineer (In Training) opportunity. This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is a US-headquartered engineering, architecture, construction and commissioning firm delivering complex facilities for the life sciences and advanced technology sectors. Its knowledge lives across SharePoint, CRM, project management, cost and document systems, and the client is investing in data and AI to put that knowledge to work. Intellias is the client’s data and AI delivery partner. The engagement covers several streams that run in parallel or follow one another: Data platform: a governed Microsoft Fabric lakehouse that consolidates project, commercial and document data into one trusted source. Knowledge and document AI: extraction, search and cited generation over large archives of proposals, specifications, drawings and project records. AI agents and workflow automation: assistants embedded in pre-construction, proposal, delivery and innovation processes, including idea intake, triage and approval flows. Governance and enablement: AI governance, security, environment set-up, including isolated or offline deployments, and capability building for client teams. What you will do Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records. Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products. Plan environments, capacity and the path from pilot to production. Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents. Build document intelligence pipelines that use OCR, classification and LLM-based extraction. Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps. Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes. Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required. Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly. Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability. What you need for this Tech stack: Microsoft Fabric / OneLake, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Power Platform and Dataverse, Microsoft Purview, Entra ID, Key Vault, Azure Monitor; integrations with SharePoint (Graph API), Salesforce and Procore. Requirements 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients. 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking). Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data. Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage. Strong hands-on Python and SQL; working knowledge of PySpark. Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk. Comfortable working across several initiatives at once and switching between strategy and hands-on detail. English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders. Nice to have Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification. Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems. Power BI / Microsoft Purview / Power Platform / Copilot Studio. Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling. Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions). Azure / Fabric certifications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Dublin 🚀 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 ❤️ 📍Dublin, Ireland | 💰€100,000 - €130,000,  Incentive Awards tied to your performance➕ benefits ⭐Our Finance team We are looking for a dynamic Treasury Capital Manager in Dublin to become a key part of the team building the new Monzo European entity. Reporting into the Director of Treasury and Capital, you will shape, develop and implement the Capital management process and infrastructure in tandem with supporting the growth and strategic development of the business. As well as skills and experience in Treasury and Capital Management, the ability to adapt, be creative and work in a fast paced environment with wider Group colleagues will be essential talents as the business grows. As part of a new and growing team, the Treasury Capital Manager will be responsible for ensuring that Monzo effectively manages its capital and ensuring compliance with regulatory requirements in Europe. This is an opportunity to be part of something from the start and make a real difference. 🔑 You’ll play a key role by… Lead the planning and production of Monzo Europe’s ICAAP in line with regulatory capital requirements. Develop capital plans and forecasts, including stress testing and scenario analysis. Lead the planning and implementation work in line with Monzo’s recovery and resolution requirements including the Recovery Plan and Solvent Wind Down Plan. Identify the impact of prudential regulatory change and supporting relevant teams to assess and adapt to the challenges. Optimise the capital structure and allocation to support growth and strategic objectives. Prepare and present regular financial reports and forecasts to senior management. Building strong relationships with internal teams such as the business/product collectives to optimize the bank's capital structure and funding strategies. Provide operational coverage for the Director of Treasury and Capital during holidays. 🤩We’d love to hear from you if you have… A bachelor's degree in Finance, Economics, Accounting, or a related field. A Master’s degree or professional qualification (e.g., CFA, ACA, ACCA) is preferred. A minimum of 5 years of experience in Treasury Capital management, within the banking sector, a consultancy, or regulatory body. Have detailed knowledge/experience of the European regulatory requirements, and the ability to interpret what that means for the relatively unique circumstances of our bank. Have the ability to coordinate, participate and lead projects to produce regulatory deliverables and maintain the Bank’s set of prudential documentation and supporting materials. Excellent analytical, problem-solving, and decision-making skills. Strong leadership abilities and experience in working across dispersed teams. Exceptional communication and interpersonal skills. Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! 🙌What’s in it for you 💰A salary range of €100,000 - €130,000 ➕Incentive Awards tied to your performance. 📍This role will have a hybrid working model, based in our Dublin office 2 - 3 days a week. ⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 🏝 Annual Leave - 34 days including public holidays (24 holiday days + 10 public holidays) 📚€1,200 learning budget each year to use on books, training courses and conferences. 🏥Private healthcare scheme 💰Pension scheme: the minimum contribution is 4% and Monzo matches any additional contributions that you make up to a maximum of 6% 💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling 🌈 The application journey has 3 key steps An introductory call with a member of the Monzo Recruitment team An initial call with the hiring manager A series of role specific, behavioural & leadership principles interviews This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-ÉS1 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 😊