Companies Adyen

Adyen

Chicago

Total Offices: 3

4,771 Total Employees

Year Founded: 2006

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We're Hiring!

Engineering 8 HR & Recruiting 7 Product Management 6 Finance 4 AI & Machine Learning 3 Sales 3 Customer Success & Experience 2 Legal 2 Marketing 2 Consulting 1 Cybersecurity 1 Data & Analytics 1 Operations & Support 1 Program & Project Management 1

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Adyen: 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.

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At a glance

Money Where It Matters

Employees receive Adyen+, a monthly stipend to spend on what is important to them.

R+R

With unlimited PTO, folks can take time to recharge — no strings attached.

Globetrotter

Employees can work from one of Adyen’s 28+ global offices for up to three months through its global exchange program.

Find Community

ERGs, internal events and a commitment to service bring colleagues together.

Featured employees

Cross-Functional Collaboration

Challenge the status quo

“I always feel encouraged to speak up, ask questions, and share a solution. I am not restricted to just sit in front of a screen and program; I interact with product managers, account managers, tech support, and pricing analysts to the point where I can put myself in their shoes and understand their perspectives and issues as well.“

Bhumika

Senior Software Engineer

Flexibility & Trust

A supportive culture that trusts its team

Blaine

Team Lead, Software Engineering

“The best thing about working at Adyen is the people. I think this is through a combination of prioritizing hiring smart, capable people, but also through creating and supporting a culture where those people are given the trust and flexibility to do their best work, and genuinely encouraging those people to connect both professionally and personally.“

Growth

Growth as a leader and as an engineer

“This role has pushed me to grow both as a leader and as an engineer. Professionally, I’ve expanded my skills in strategic thinking, team management, and cross-functional collaboration, while staying hands-on with development.”

Tulasi

Team Lead, Software Engineering

Recently posted jobs

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Adyen

Payments & Product Partnerships Counsel, Americas

2 Days AgoSaved

Easy Apply

Hybrid

Easy Apply

Fintech • Payments • Financial Services

Advise payment and product partnership teams on strategic financial-services and technology relationships across the Americas. Structure, draft, and negotiate infrastructure partnership agreements; counsel cross-functional teams on regulatory, contractual, privacy, data-security, and operational risks; interpret partner and network rules; and create scalable deal resources. The role requires a business-oriented lawyer with financial-services transaction experience, strong negotiation and communication skills, and the ability to manage complex, rapidly evolving work.

Adyen

Principal Product Manager, AI-Native Merchant Experiences

11 Days AgoSaved

Easy Apply

Hybrid

San Francisco, CA, USA

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Fintech • Payments • Financial Services

Own the vision, strategy, and execution of Adyen’s AI assistant for merchants. Define agentic capabilities, safety standards, and quality metrics; ship customer-facing functionality; enable product teams to contribute capabilities; and lead cross-functional collaboration across product, design, engineering, analytics, commercial, marketing, and legal. Use customer research and data to drive adoption, business impact, and simpler experiences across complex payment operations.

Adyen

Staff Machine Learning Engineer, Financial Products

11 Days AgoSaved

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Hybrid

San Francisco, CA, USA

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Fintech • Payments • Financial Services

Design, productionize, and operate machine learning models and rule-based decision systems for credit underwriting. Build scalable pipelines for feature engineering, training, validation, deployment, monitoring, and continuous improvement. Optimize model performance, collaborate with software, credit, product, risk, and data teams, and promote strong engineering and MLOps practices across production ML systems.

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