Adyen
Senior Product Manager - Revenue Optimization
New York · Senior
Sponsorship not specified$200k-$270kDetected 24 days ago
Machine LearningProduct ManagementRecruitingCollaborationPublic Speaking
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- At Adyen, everything we do is engineered for ambition.
- 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.
Responsibilities
- Own the strategy and roadmap
- Partner with teams across the organization at large
- Engage with customers and partners
- Fluent with data, with the ability to access, manipulate, and analyze large corpuses of information on their own
Requirements
- No matter who you are or where you're from, you're welcome to be your true self at Adyen.
Nice to have
- Knowledge of tokenization and crypto is a plus
Compensation
- The salary range for this role is $200,000 to $270,000 t o learn more about our compensation philosophy, please click here.
Company info
- This is Adyen 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.
- We are motivated individuals who tackle unique technical challenges at scale and solve them as a team.
- Diversity, Equity, and Inclusion at Adyen We actively seek different perspectives to sharpen our ideas.
This listing is sourced directly from Adyen's careers page and normalized into a canonical job model.