Adyen is recruiting a Senior Product Manager - Revenue Optimization to join the team in New York. The job is full-time and office based. The advertised pay is $200,000 to $270,000 a year.
Adyen describes the job as follows.
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.
Senior Product Manager - Revenue Optimization
Adyen, a leading payment processor, is expanding its ambition to influence purchases and power the agentic commerce revolution. This requires a deep understanding of customer behavior, powered by billions of data points and leveraging state-of-the-art machine learning capabilities. As a Product Manager within the Revenue Optimization team, you will oversee this data platform's capabilities and our initiatives to provide a worldclass, high performing experience for agent-initiated searches and payments.
What you'll do, both for the Customer Data Platform and Agentic Commerce:
The salary range for this role is $200,000 to $270,000 to learn more about our compensation philosophy, please click here.
We actively seek different perspectives to sharpen our ideas. Our unique culture is a product of our diverse backgrounds and experiences. No matter who you are or where you’re from, you’re welcome to be your true self at Adyen.
If you need accommodations or support during the recruitment process to perform at your best, you’ll have the opportunity to let our team know in your application. We encourage people from all backgrounds and abilities to apply.
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.
Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
All your information will be kept confidential according to EEO guidelines.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This role is based out of our New York office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
Adyen advertises $200,000 to $270,000 a year for this role.
No, it is an on-site job in New York.
The posting mentions skills such as Machine Learning. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Adyen's own application form, so your CV goes directly to their hiring team.
Adyen published the role on September 11, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Adyen careers page (job-boards.greenhouse.io). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Adyen is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution, Adyen helps businesses achieve their ambitions faster. With offices around the world, Adyen works with the likes of Meta, Uber, H&M, eBay, and Microsoft.
Industry: Finance & Banking
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