• Design, build, and evolve core AdManager features across campaign setup, reporting, onboarding, creatives management, payments, account management, and AI-powered workflows • Own complex initiatives from conception to production with minimal supervision • Translate ambiguous product needs into clear technical plans, milestones, and production-ready features • Collaborate closely with product managers, engineers, and business stakeholders to deliver high-quality advertiser experiences • Build and maintain robust user-facing experiences using Next.js, React and Typescript • Design scalable APIs, services, database schemas, and domain models that remain maintainable as the platform grows • Work with PostgreSQL and backend systems to support reliable advertiser workflows and reporting experiences • Apply strong engineering practices, including testing, clear architecture, and thoughtful code reviews • Ship features with appropriate monitoring, logging, alerting, analytics, and observability • Investigate, debug, and resolve production issues for the systems you build • Contribute to incident response and postmortems with clear communication and ownership • Improve codebase maintainability, documentation, conventions, and developer experience beyond your assigned tickets • Understand advertiser workflows and proactively identify better product or technical solutions • Challenge weak assumptions and propose pragmatic alternatives that balance speed, business impact, and long-term quality • Use AI-assisted development workflows to accelerate delivery while maintaining a high bar for correctness and maintainability • Contribute positively to a shared codebase and a collaborative, low-ego engineering culture.

Role Description As part of the Development team as a Full-Stack Developer, you will be instrumental in building and scaling our platforms and products. You will work across our entire A.I technology stack to deliver a seamless and powerful user experience. You will be joining projects with a shipping fast approach and a modern tech stack. - Extensive knowledge of Javascript/Typescript. - Design, implement, and maintain RESTful APIs with NextJS/Express to manage user authentication, data processing, and orchestrate analysis workflows. - Model Context Protocol (MCP) Knowledge Agents with Claude SDK: - Build AI agents access to real-time data, APIs, and tools. - Create AI Agents that can actually take actions. - Combine the reasoning power of LLMs with real-world integration. - Build AI Agents with LangGraph + LangFuse that can handle multi-step reasoning: - Create workflows where AI agents collaborate or hand off tasks to other agents. - Maintain conversation state and context across interactions. - Handle complex decision trees and conditional logic. - Develop and maintain features on both our React frontend and Node.js (NextJS) backend. - Build intuitive user interfaces using TypeScript, Vite, React and our UI component library, enabling users to upload media, manage their analyses, and interact with our web delivered product. - Integrate our platform with various external services like Payment Service Providers and APIs, and handle incoming webhooks for processing asynchronous tasks. - Collaborate closely with AI product managers and AI specialists to translate complex requirements into robust, scalable features expressed in AI design prompts. - Contribute to database schema design and write migrations for our PostgreSQL & BigQuery databases. - Knowledge of GCP to collaborate with the team on application deployment and help maintain our cloud infrastructure on Google Cloud Platform. Qualifications - Extensive experience with the Python framework. - Deep API Integration experience with 3rd Party vendors. - A serious self-learner and someone that adapts to new tools and platforms very quickly. - TypeScript Proficiency: Highly proficient in TypeScript and its application in both frontend (React) and backend (Node.js) environments. - Frontend Expertise: Strong experience with React and modern state management, including Hooks and the Context API. - Backend Expertise: Solid experience building and consuming REST APIs with Node.js and NextJS or Express. - Database Skills: Experience with PostgreSQL, and working with an ORM or query builder. - Knowledge of LangGraph, LangChain, LangFuse. - Problem-Solving Mindset: Collaborative problem-solver, eager to take on new challenges. - Passion for AI: Genuine passion and awareness for artificial intelligence. - Very High Agency: Work with autonomy with a large degree of freedom to implement the business vision. - Creativity and Proactivity: Passion for building great products and proposing new features. Requirements - AI Project Experience: Previous experience working on projects involving AI, machine learning, or interacting with large language models (LLMs). - Familiarity with UI component libraries. - Knowledge of cloud platforms like Google Cloud Platform (GCP). Benefits - High-Impact Role: Be a key player in a small, agile team building a greenfield project. - Modern Technology: Work with a cutting-edge tech stack with a focus on best practices. - Growth & Learning: Gain deep experience in AI-driven applications, cloud-native architecture, and real-time systems. - Stability & Vision: Enjoy the energy of a startup environment backed by a large, successful company. - Collaborative Culture: Value open communication, teamwork, and a shared passion for building exceptional products. - Growth and career development: Flexible career path with personalized internal training and an annual budget for external learning opportunities. - Work-Life balance: Flexible schedule with flextime and the option of working fully remote or from our Barcelona office. - Comprehensive benefits: Competitive salary, full-time permanent contract, and top-tier private health insurance. - 25 days of vacation plus your birthday off, with flexible vacation options. - Unique Perks: Office in Barcelona with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace.

• Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js. • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements. • Write clean, efficient, and well-documented code, following best software engineering practices. • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability. • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement. • Contribute to the full software development lifecycle, from concept and design to testing and deployment. • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams.

Role Description We are seeking a highly skilled and experienced Senior Product Engineer to act as a strategic technical authority within Rimes’ Enterprise Data Management (EDM) platform. This role is designed for an individual who is recognised for deep domain expertise across multiple investment data domains (price mastering, security mastering, ESG, etc.) and trusted to shape decisions across product, engineering, and client delivery. You will operate with a high degree of autonomy, influencing platform direction, defining best practices, and advising on complex, high-impact transformation initiatives for global clients. Positioned at the intersection of product strategy, solution architecture, and execution, you will play a key role in ensuring Rimes’ EDM capabilities scale with both market demands and long-term platform vision. You will be a custodian of Rimes’ EDM standards, helping define how we design, build, and deliver solutions across the organisation. Responsibilities - Best Practice and Solution Design: - Design service and platform solutions aligned to market standards, client requirements, and Rimes best practices. - Lead complex assessments of client data landscapes, identifying structural issues and defining strategic remediation roadmaps, not just tactical fixes. - Act as a design authority for EDM solutions, setting patterns adopted across multiple programmes and regions. - Platform and Capability Development: - Provide technical leadership for the design and evolution of EDM-related platform capabilities. - Shape capability roadmaps in partnership with Product and Engineering, balancing client needs with architectural integrity and long-term scalability. - Serve as a point of escalation for complex design decisions and cross-team technical trade-offs. - Delivery and Execution: - Take end-to-end accountability for the technical success of key platform and solution initiatives. - Provide hands-on technical guidance throughout the delivery lifecycle, from design through implementation and rollout. - Balance short-term delivery needs with long-term architectural integrity. - Transformation and Advisory: - Act as a trusted technical advisor to senior internal stakeholders and strategic clients on EDM architecture, operating models, and transformation strategy. - Influence decision-making in ambiguous or high-stakes situations through expert judgement and data-driven recommendations. - Elevate organisational capability through mentorship, knowledge sharing, and setting clear technical standards. Qualifications - Deep, demonstrable experience designing, delivering and using EDM solutions, including solution and data architecture. - Demonstrated exposure to multiple investment data domains (e.g. price mastering, security mastering, ESG, ETFs), with the ability to operate as a domain advisor and apply expertise flexibly across complex, evolving data landscapes. - Strong execution and delivery skills, with experience working across modern software development methodologies. - Comfortable operating in complex, ambiguous environments and influencing without direct authority. - Excellent communication and collaboration skills, with the ability to engage effectively with technical and non-technical stakeholders. - A mindset of continuous improvement and a commitment to staying current with industry best practices. - Bachelor’s or Master’s degree in computer science, software engineering, or a related field. Requirements - Salary Range: $162,000 - $240,000 Benefits - Competitive base salary and performance-based incentive compensation. - Comprehensive benefits package including health, dental, vision, and retirement. - Flexible, remote-friendly work environment with a collaborative global culture. - Opportunity to shape and build a world-class Sales Engineering function from a position of influence. - Regular exposure to senior leadership and involvement in key strategic decisions.