Machine Learning Engineering Manager, Credit & Underwriting

Adyen•San Francisco, CA

1d•Onsite

About The Position

Adyen is seeking an enthusiastic, self-driven Engineering Manager to lead the Credit Risk Modeling team in San Francisco. This team will be responsible for developing and deploying machine learning models, scorecards, and production systems to scale Adyen's credit products. The role involves leading the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement. The Engineering Manager will build, mentor, and coach a team of machine learning scientists and data engineers, streamline engineering operations, refine product requirements, and foster collaboration. This critical role will also contribute to iterating Adyen's culture and building an inclusive team environment.

Requirements

Proven experience working with, and deep understanding of machine learning products.
Energetic self-starter experienced in creating alignment between multiple teams.
Able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems.
Experience in coaching and mentoring engineering talent.
Experience in leading technical projects in a fast paced and critical environment.
Experience collaborating with senior leadership to set strategic direction including product roadmaps.
Excellent communicator and team player who can inspire others around them.
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.
Experience with Credit Underwriting.

Responsibilities

Lead the Credit Risk Modeling 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, Product engineers, Credit Ops 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 pipelines/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.