Machine Learning Engineering Manager, Credit & Underwriting
San Francisco · USD 212,000-293,000 / year · 2+ years experience · Remote · Posted Oct 5, 2026
At a glance
- Experience
- 2+ years experience
- Workplace
- Remote
- Location
- San Francisco
- Salary
- USD 212,000-293,000 / year · Base salary
About the role
- The Financial Products org at Adyen is building foundational infrastructure that enables customers to manage finances, issue cards, and access credits globally.
- Adyen is establishing a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products.
- The Engineering Manager will lead the team that designs, productionizes, and operates machine learning models and rule-based decision systems powering credit products.
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 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.
Requirements
- 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.
Benefits
- RSUs
Workplace
- Office-first company that values in-person collaboration; remote-only roles are not offered.
Skills
- Machine Learning