Zartis

Product Designer

• Design intuitive, user-friendly, and visually compelling interfaces for web-based applications.
• Translate complex business and functional requirements into clear, user-centered design solutions.
• Build, evolve, and maintain scalable design systems aligned with brand guidelines and product vision.
• Plan and conduct user research, usability testing, and validation to inform and improve design decisions.
• Collaborate closely with product managers, engineers, and stakeholders to ensure feasibility and consistency from concept to delivery.
• Create, test, and iterate on wireframes, prototypes, and high-fidelity designs using tools such as Figma or Sketch.
• Actively contribute to product discovery, ideation, and development phases, bringing a strong UX and user-advocacy mindset.
• Stay up to date with design trends, UX best practices, and emerging technologies, applying design thinking to continuously improve the user experience.

Senior UX/UI Designer

Engineer

• Learn, maintain, and troubleshoot existing public projects and “skills” built within Anthropic Claude, ensuring business continuity.
• Optimise complex, multi-step prompts for financial services workflows, including compliance checks, suitability recommendations, and financial promotions.
• Provide direct day-to-day user support — acting as a help desk when outputs degrade, context limits are hit, or nuanced follow-up instructions are needed.
• Support a user base of 500+ people, including non-technical teams transitioning from traditional manual processes.
• Document AI architectures, best practices, processes, and controls to formalise ways of working that are currently managed informally.
• Assist in improving the technical foundations behind automated agents, including refining the combination of LLM logic with Python and JSON used for letter-writing and fact-file processing workflows.
• Partner closely with the lead AI strategist to ensure knowledge transfer and reduce single points of failure.

Prompt Engineer

Operations

• Process Architecture: Audit existing workflows across the business to identify bottlenecks and design automated, scalable solutions.
• Implementation & Integration of Automations: Lead the rollout of new automations, ensuring seamless integration between different departments.
• Operational R&D: Research and pilot innovative technologies (AI, automation, no-code) to improve the "Operations Pillar" service delivery.
• Continuous Improvement: Act as an internal consultant for other teams to refine their specific operational "sub-systems," ensuring alignment with the company’s broader strategic goals.
• Bench and Backlog Management: Optimise cross-project workforce allocation by streamlining internal workflows and facilitating seamless team transitions. Lead the development of internal tools and solutions while collaborating with key stakeholders to align technical output with strategic priorities.
• Governmental Support: Lead initiatives to obtain R&D tax credits and similar schemes across Spain and Portugal, and other governmental incentives, while identifying areas for organisational improvement.
• Governance and Improvements: Establish and manage process governance in collaboration with key stakeholders to ensure operational standards are maintained.
• Pillar Support: Provide flexible, high-level support across Operations and Finance teams as required, stepping in to solve complex problems that require a systems-thinking approach.
• Strategic Admin: Manage high-stakes vendor relationships and contracts, ensuring service levels align with our long-term scaling needs.
• Workflow Documentation: Create the "Internal Playbook" for new innovations, ensuring that once a solution is built, it is documented for sustainable use by the wider team.
• Data Analysis: Demonstrate a deep understanding of data-management practices

Operations – Innovation Consultant

Backend Engineer

• You will join the Billing team, an integral part of the client's Energy Retail platform. The mission of this team is to reduce retailers' debt risk by enabling them to send accurate, compliant, and timely bills in a cost-effective manner.
• From day one, you will be involved in various team activities, including development, design, support, and testing. While we don’t expect you to have extensive domain knowledge, you will have the opportunity to build your expertise with guidance from our experienced engineering team.

Senior Software Engineer, React/Node.js

Product Manager

• Help shape and scale a category-leading RegTech platform, contributing to the ambition of building a European champion in compliance automation for modern B2B companies.
• Lead product discovery in close collaboration with customers, stakeholders, and internal teams, turning validated user needs into clear, actionable requirements.
• Partner with engineering and design to drive end-to-end product delivery within agile (SCRUM) environments, ensuring high-quality and timely outcomes.
• Convert regulatory, technical, and business inputs into well-defined user stories, acceptance criteria, and roadmap initiatives.
• Use a combination of customer insights, product usage data, and qualitative feedback to continuously improve product value, usability, and adoption.
• Support roadmap planning and prioritisation by balancing customer impact, business objectives, and technical feasibility.
• Thrive in a fast-paced startup environment, taking ownership, adapting quickly, and contributing beyond formal role boundaries to drive overall product success.

• Lead by example in AI-assisted development, leveraging tools to streamline coding, testing, and problem-solving, while mentoring others in their effective use.
• Develop, maintain, and enhance full stack applications using React on the frontend and Ruby or Python on the backend.
• Design, optimize, and maintain PostgreSQL databases, and manage search and analytics using OpenSearch.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Leverage AWS to manage, maintain, and integrate applications and services, demonstrating strong proficiency in cloud-based workflows.
• Collaborate effectively with product owners, designers, and engineers within a hybrid Agile environment.
• Be given priority consideration for permanent team membership as the company grows or when future opportunities arise.

Senior Fullstack Engineer, Python, React

• You will design and develop backend components that form the backbone of their digital products, using Java and Spring Boot as your primary toolkit.
• You will implement and maintain well‑structured RESTful APIs, following best practices in API design to ensure reliability, clarity, and long-term maintainability.
• You will be involved in the full software development lifecycle, from ideation and implementation to testing and deployment, taking ownership of clean, efficient, and maintainable code.
• Working closely with our frontend, DevOps, and QA teams, you will help ensure seamless integration across their systems and contribute to delivering a smooth, high-quality user experience.
• You will participate in code reviews, share ideas, and help them evolve their engineering practices.

Senior Software Engineer, Java

Frontend Engineer

• Develop and maintain modern web applications using Vue.js and TypeScript/JavaScript.
• Build clean, reusable, and scalable UI components following frontend best practices.
• Collaborate with designers, product managers, and engineers to deliver user-centric features.
• Ensure high performance, reliability, and usability across the application.
• Integrate frontend components with RESTful APIs.
• Contribute to code reviews and continuously improve code quality and development workflows.
• Participate in the full software development lifecycle from design through deployment.

Senior Frontend Engineer

• Design and develop both frontend and backend components using Java and TypeScript/JavaScript, working with modern frameworks such as Vue.
• Collaborate closely with cross-functional teams to deliver high-quality, user-centric software solutions that create real business value.
• Contribute across the full software development lifecycle — from initial design and implementation through to deployment and production support.
• Build software with performance, scalability, and usability in mind, ensuring solutions are robust and production-ready.
• Write clean, maintainable, and well-tested code, and actively participate in code reviews and continuous improvement practices.
• Continuously improve application performance and user experience, driven by curiosity, quality mindset, and a desire to deliver intuitive, fast, and reliable products.

FullStack Engineer – Java, Vue

Data Engineer

• Collaborate with the business team to design and enhance and come up with AI features that provide value for different clients.
• Monitor and evaluate the quality of output from our client’s AI supplier-matching system, ensuring accuracy and reliability.
• Conduct data analytics to identify areas where AI-driven tools can be improved.
• Design and run tests/experiments to validate the efficiency of new AI features.
• Work on data acquisition pipelines to source new supplier data, including web crawling and integrations with 3rd-party tools/APIs.
• Build, maintain, and optimize AI tools and data pipelines in Python.
• Support the scaling of data systems as the platform grows.
• Communicate insights clearly to both technical and non-technical stakeholders.

Senior Data Engineer

Data Scientist

• Design and own explainable, decision-ready scoring frameworks that evolve over time and support executive use cases.
• Build models that clearly explain what changed, why, and with what evidence, including confidence and uncertainty.
• Lead entity resolution across licensed news, social, and broadcast/video data, ensuring measurable and continuously improving quality.
• Define evaluation standards, run disciplined experiments, and partner with Product and Engineering to bring ML/AI features safely into production.
• Establish and uphold production and governance standards including monitoring, drift detection, auditability, and responsible AI practices.
• Translate model outputs into clear verification workflows, not black-box answers.
• Lead cross-functional delivery and help scale the team through mentoring and hiring, while remaining hands-on.

Lead Data Scientist

QA Engineer

• Own the overall testing and automation strategy, aligning it with business value and regulatory requirements.
• Act as the lead quality reference for stakeholders, engineering teams, and client leadership.
• Design, build, and maintain scalable automation frameworks using industry best practices.
• Define and execute a robust compatibility testing strategy.
• Drive "Shift-Left" practices to ensure quality is integrated early in the delivery lifecycle.
• Lead and mentor QA engineers while balancing strategic oversight with hands-on execution.
• Analyze complex technical risks and proactively communicate issues to ensure resilient financial services.
• Refine QA processes and monitor quality metrics to drive continuous improvement across teams.
• Ensure all testing activities meet the rigorous standards of a regulated financial environment.

Lead QA Engineer

• Take responsibility for the full software development lifecycle, i.e. you design, implement, test, QA, deploy and maintain new and existing features.
• Contribute to improving the product by being a sparring partner to product managers.
• Make architecture decisions as a key member of an engineering team.
• Participate in discussions on how to maintain and improve micro-service architecture.
• Work closely with other engineers to identify and mitigate tech debt.
• Contribute to driving technical innovation and finding sustainable solutions for technical challenges such as:
• * Upscaling every part of the application to be able to process large amounts of data.
• * Further developing the setup for data pipelines and data warehousing to enable near-real-time data processing and generation of insights.
• * Driving the integration of AI solutions together with our data team.