• Manage the day-to-day activities of one or more software development teams, providing goal setting, mentorship, coaching, leadership, guidance and performance management and feedback. • Collaborate closely with the Product Manager on the team to build the roadmap, flesh out requirements, and ensure the team executes. • Ensure development deliverables are documented and key decisions are recorded in accordance with the design and development process. • Help with hiring initiatives across the engineering department. • Assist in identifying process problems and contribute to the continual enhancement of the design, development processes and system architecture. • Ensure development follows the development process throughout the development lifecycle. • Establish success metrics (KPIs and SLAs) and monitor team and system performance. • Collaborate with the team to meet performance, scalability, and reliability goals. • Stay current with trends, techniques, technology and other factors impacting the job incorporating as deemed necessary. • Other duties as required.

Role Description Shape the future of our AI Engineering and AI Platform capabilities within the Data Science and AI tribe. We are building a new team of AI Software Engineers and AI Platform Engineers to bring AI use cases into production at scale. We are looking for a passionate and motivated Engineering Manager to lead this newly formed team. As the EM, you will play a key role in turning AI concepts, data science ideas, and business opportunities into scalable backend systems, cloud-native architectures, agentic workflows, and internal AI platform services. We are not training models from scratch. Instead, your team will integrate modern AI capabilities via APIs from providers such as OpenAI, Anthropic, Google, and others, and build the platform foundation required to use them securely, reliably, and cost-effectively. - Build and lead a new AI Engineering and AI Platform team, helping engineers grow and the team become self-organized, agile, and autonomous. - Provide technical direction for AI/LLM services, backend systems, AWS architectures, Terraform infrastructure, CI/CD pipelines, and agentic workflows. - Drive the end-to-end implementation of AI use cases, from ideation and technical scoping to delivery, rollout, monitoring, and maintenance. - Shape our internal AI platform for model access, MCP server integrations, observability, governance, rate limiting, and cost management. - Work closely with Data Science, Product, Engineering, Security, Platform, and business stakeholders to identify and deliver high-value AI use cases. - Establish engineering best practices for reliable, secure, maintainable, and production-grade AI systems. - Be part of the recruitment process to attract and onboard new colleagues for the team. Qualifications - A university degree in a relevant field, such as Computer Science, Software Engineering, Mathematics, Natural Sciences, or a comparable qualification. - Previous experience in software engineering, backend engineering, platform engineering, cloud engineering, or AI engineering. - Experience leading engineers as an Engineering Manager, Team Lead, Tech Lead, or in a comparable role. - Strong understanding of scalable backend systems, cloud-native architectures, API design, and modern software development practices. - Good knowledge of modern AI system integration, including LLM APIs, agentic workflows, and production-grade AI services. - Hands-on experience with Python, Docker, CI/CD pipelines, cloud infrastructure, and Infrastructure as Code, preferably AWS and Terraform. - Understanding of AI platform topics such as observability, governance, data privacy, rate limiting, cost management, and secure LLM usage. - Passion for people development, technical excellence, and building high-performing engineering teams. - Strong analytical thinking, both in the technical and business domain. - Excellent communication skills that are clear, concise, and tailored to engineering, product, and business stakeholders. - Extreme sense of ownership and a pragmatic, hands-on mentality. - Experience with LangGraph, LiteLLM, Langfuse, Datadog, MCP servers, or similar technologies is a plus. Benefits - Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers. - Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients. - Be productive with the latest hardware and tools. - Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget. - Learn and experience German culture first hand by joining our free German language classes. - International relocation support is provided if required. - Opportunity to work from abroad. - Benefit from an attractive compensation package and from the company pension scheme. - Monthly contribution of 50% for the ‘Deutschland Jobticket’. - Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker. - Enjoy flexible and discounted sports activities with Urban Sports Club.

Role Description We’re looking for an experienced Engineering Lead for our Consumer Onboarding team. This is a unique opportunity to have a massive impact, helping a growing number of customers around the world choosing Wise to move their money without borders. The Consumer Onboarding team is dedicated to guiding personal customers through setting up their Wise account and resolving their first international money needs in a way that’s clear, easy, and delightful. You'll lead a team of talented engineers, collaborating daily with product managers, data analysts, and designers to continuously improve our onboarding flows and user journeys - making them faster, more intuitive, and more scalable. Your mission: - Lead, coach, and mentor a team of driven engineers, supporting their growth and empowering them to do their best work. - Work closely with the Product Manager and your team to shape the roadmap, set the technical and product vision and ensure the team delivers on product goals in a robust and scalable way. - Enable your team to succeed by ensuring they are well-resourced, can plan effectively, and are set up to commit to and deliver on their roadmap. - Stay and remain very close to the tech and product - setting high standards for quality, and leading by example. - Own the health and productivity of the engineers in your team, fostering a culture of collaboration, ownership, and continuous improvement. - Collaborate with other engineering leads and teams across Wise to ensure your team’s work is aligned with the wider technical strategy. - Own the hiring, growth and development of your team and its impact at Wise. Qualifications - You have proven experience in leading and mentoring software engineers. You enjoy helping others grow and succeed. - You have a strong product and customer mindset and experience building customer facing products. - You possess strong technical expertise or background in OOP Languages (Java or similar) and modern technology stacks. - You have experience working with other functions like Frontend and/or Mobile engineers. - You have experience working with and building distributed, high scalability systems and microservices architectures. - You're a great communicator who can articulate complex technical concepts clearly to both technical and non-technical audiences. - You thrive in a collaborative environment and have experience working effectively with cross-functional peers like designers, product managers, and analysts. Benefits - 🚀 RSU's in a growing company - 💪 An annual self-development budget - 🌿 3 fully paid ‘me days’ per year to help you manage life - 🌍 Relocation and visa expenses covered - 🏝️ A paid 6-week sabbatical leave after four years - Mobile Wiser - After 6 months you can work from anywhere in the world for 90 days per calendar year Compensation GBP 105000 - GBP 135000 yearly

• Liderar, entrenar y hacer crecer un equipo de ~6 ingenieros de datos y plataformas • Definir y conducir la hoja de ruta de la Plataforma de Datos • Colaborar con escuadras de productos • Asegurar la salud, confiabilidad y costo de la plataforma