Machine Learning Engineering Manager

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.

• Lead the Personalize Intelligence team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance.
• Work cross-functionally with Design, Product, Data Engineers, Machine Learning Engineers, Developers and other key stakeholders.
• Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions.
• Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact.
• Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind.
• Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager.
• Create an inspiring and collaborative team environment with an open communication/feedback culture.
• Recruit new team members who align with the Adyen culture and required skills.

• You have affinity to the Shopper and Checkout optimization domain.
• You have proven experience working with, and deep understanding of machine learning products.
• You are an energetic self-starter experienced in creating alignment between multiple teams.
• You are able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems.
• You have experience in coaching and mentoring engineering talent.
• You have experience in leading technical projects in a fast paced and critical environment.
• You have experience collaborating with senior leadership to set strategic direction including product roadmaps.
• You are an excellent communicator and team player who can inspire others around them.
• You can clearly communicate technical concepts to non-engineers.
• 2+ years experience in managing machine learning engineering teams within a mission-critical environment.
• 7+ years of experience in a ML/AI tech environment.

• The annual base salary range for this role is $207,000 - $279,000 plus RSUs.
• This position is based out of the Chicago office.