VP Engineering - Machine Learning

Key Skills

Effective communication skills, Leadership, Machine learning techniques

Job Description

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays.

We took an unobvious approach to starting a payments company, building a platform from scratch. Now, Adyen serves the world's brightest companies like Meta, Uber, L'Oreal, Camper, eBay, GoFundMe, Bonobos, and Spotify.

VP of Engineering - Machine Learning

Adyen has invested significantly in the last years in building a state-of-the-art data platform with full engineering control that allows us to be fast, reliable and independent. All Adyen’s data converges into our data platform from which we eventually build scalable analytics products that allow us to measure and understand performance, spot opportunities and eventually also train machine learning models. As such, actions such as risk classification and declines, authentication details, payment routing, and the payment flags are fully automated through machine learning. While the training happens offline in our Big Data Platform, the actual execution happens in real-time in our payments platform.

We are seeking an experienced VP of Engineering to lead the development and execution of our strategy for Machine Learning. As the leader of the Machine Learning team, you will be responsible for driving the research, innovation and experimentation in this area, as well as owning the performance and operations of our machine learning models.

Key Responsibilities:

• Drive the overall strategy for engineering execution, research and experimentation for machine learning.
  
  
• Lead the performance and scalability of our machine learning platform.
  
  
• Empower and manage a team of managers of managers, in charge of several aspects of the engineering behind machine learning.
  
  
• Research and stay updated with current trends, leading efforts to push the boundaries of what's possible with machine learning.
  
  
• Own the day-to-day operations and ensure operational excellence
  
  
• Be the engineering leader in Madrid and help build a diverse and inclusive data team from scratch.
  
  
• Represent Adyen in meetings with merchants and other stakeholders, as well as public audiences.
  
  
• Collaborate closely with VPs of Product to ensure high-quality development and alignment with company goals and industry demands.
  
  

Qualifications:

• Strong leadership experience in an engineering environment
  
  
• Experience with machine learning and big data.
  
  
• Understanding of industry and trends is a big plus
  
  
• Solid understanding in machine learning technologies, tooling, practices and players.
  
  
• Strong communication and stakeholder management skills
  
  
• Proven track record of delivering and operating high-performing and scalable systems
  
  
• Experience leading and managing a team of engineers and managers to deliver products on time and to high standards.
  
  

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.