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Engineering Manager: Applied (Gen) AI - Payments
Adyen — топовый работодатель в сфере финтеха с сильной инженерной культурой. Позиция предлагает уникальную возможность формировать AI-стратегию компании и работать с передовыми технологиями на огромных масштабах данных.
Сложность вакансии
Роль требует редкого сочетания навыков управления (Engineering Management), глубокой экспертизы в Software Engineering и практического опыта внедрения Generative AI в продакшн. Высокая планка ответственности за архитектуру и найм в быстрорастущем финтех-гиганте.
Анализ зарплаты
Зарплата для позиции Engineering Manager в Амстердаме в сфере AI/FinTech обычно выше среднего по рынку. Adyen предлагает конкурентные пакеты, которые часто включают опционы (RSU), что значительно увеличивает общий доход. Предложенный диапазон соответствует уровню Senior/Lead специалистов в Нидерландах.
Сопроводительное письмо
I am writing to express my strong interest in the Engineering Manager position for the Applied Gen(AI) team at Adyen. With over five years of experience in software engineering and a proven track record of leading technical teams, I am excited by the opportunity to bridge the gap between cutting-edge generative AI and real-world payment complexities. My background in deploying machine learning models into production environments, combined with a 'player-coach' leadership style, aligns perfectly with Adyen's mission to drive strategic AI initiatives.
In my previous roles, I have successfully managed the full lifecycle of technical products while fostering a culture of autonomy and rapid iteration. I am particularly drawn to Adyen's 'Formula' and the emphasis on launching fast and iterating based on feedback. I am confident that my ability to manage complex stakeholder relationships and my deep technical expertise in Python and AI architecture will allow me to contribute significantly to your team in Amsterdam and help evolve the Applied Gen(AI) unit into a center of excellence.
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Описание вакансии
This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
Engineering Manager: Applied (Gen)AI - Payments
The Applied Gen(AI) team is a pioneering unit within Adyen’s Payments department, dedicated to leveraging (Generative) AI to transform how we work. The team builds intelligent systems that solve real-world payment complexities at scale. Currently, the team focuses on solving high-impact operational workloads and making critical information more accessible through intelligent automation. Looking ahead, this team is positioned to potentially evolve into a center of excellence, providing internal AI consulting and driving strategic AI initiatives across the entire company.
As an Engineering Manager in this space, you will be an entrepreneurial leader tasked with contributing to the foundation of AI at Adyen. You will drive business outcomes by bridging the gap between cutting-edge AI capabilities and real-world payment operations, while fostering a high-performance culture of rapid iteration. You will be leading and growing an autonomous and experimental, small team of AI-engineers.
What you’ll do
- Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction.
- Strategic Stakeholder Management: Effectively "manage up" and exercise influence across the organization to align AI initiatives with Adyen’s overarching vision.
- Formula Fit Execution: Champion the "Adyen Formula" by launching products fast and iterating based on real-world feedback to ensure constant value delivery.
- Product Discipline: Partner with product peers to lead prioritization and roadmapping, pragmatically balancing technical debt with the delivery of innovative AI features.
- People Management: Act as a dedicated mentor and coach to grow engineering talent. This role involves growing the team (hiring and headcount planning) and focusing on the development of the current team.
- Technical Guidance: Provide architectural direction for AI and software engineering projects, ensuring solutions are scalable, reliable, and secure. We expect a player-coach mindset, where you balance people management, strategy, architecture and hands-on work.
- Team Environment: Cultivate a culture of ownership, autonomy, and open communication where constructive feedback is the norm.
Who you are
- Experienced Leader: You have 2+ years of experience leading engineering teams and 5+ years of hands-on experience in Software Engineering and AI development.
- Entrepreneurial Self-Starter: You are a dynamic individual who thrives in fast-paced environments, capable of driving initiatives from ideation to completion with minimal oversight.
- Technical Background: You possess a strong foundation in core Software Engineering (e.g. Java or Python) and have experience with deploying (Gen)AI/Machine Learning in production.
- Stakeholder-Savvy: You can clearly explain complex technical AI concepts to non-technical stakeholders and align diverse needs into a unified roadmap.
- Quality & Growth Mindset: You are not afraid to challenge the status quo and possess an innate curiosity to explore how (Gen)AI can redefine payment industry standards.
- Product Mindset: You think in terms of user needs, scalability, and long-term vision for payment and billing solutions.
Our Diversity, Equity and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What’s next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
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Навыки
- Stakeholder Management
- Python
- Machine Learning
- Software Engineering
- Java
- Architecture
- Generative AI
- People Management
Возможные вопросы на собеседовании
Проверка соответствия культуре Adyen (Adyen Formula) и умения быстро поставлять ценность.
Расскажите о случае, когда вам пришлось выбирать между идеальным техническим решением и быстрым запуском продукта. Как вы принимали решение?
Оценка технической экспертизы в области GenAI и понимания жизненного цикла ML-моделей.
С какими основными трудностями вы сталкивались при выводе LLM-решений в продакшн, особенно в вопросах масштабируемости и безопасности данных?
Проверка навыков управления людьми и формирования команды.
Как вы подходите к найму и развитию инженеров в такой быстро меняющейся области, как AI? Какие качества для вас приоритетны?
Оценка способности взаимодействовать с бизнесом.
Как вы объясняете ценность и риски внедрения конкретной AI-технологии нетехническим стейкхолдерам?
Проверка архитектурного мышления в контексте платежных систем.
Как бы вы спроектировали систему на базе AI для автоматизации обработки сложных операционных запросов в платежной системе, учитывая требования к надежности?
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