Optimization Manager

Adyen
TokyoPosted 30 April 2026

Tech Stack

Job Description

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, HM, 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. Optimization Manager Adyen is seeking a strategic and analytical Optimization Manager to join our Performance Optimization team in Tokyo. In this role, you will be responsible for managing full-funnel payment performance to drive tangible business impact and optimize merchant success at scale. You will act as a key partner to our merchants, leveraging data-driven insights to enhance their payment ecosystems. Success in this position requires a blend of excellent project management skills and the ability to collaborate seamlessly with cross-functional teams, including Product, Commercial, and Data Analytics, within a fast-paced and global environment. The ideal candidate possesses deep payments expertise, a strong focus on risk and fraud prevention, and the ability to translate complex technical findings into clear, actionable recommendations for both technical and non-technical stakeholders. What you'll do Partner with commercial teams to drive Adyen’s value proposition and merchant adoption, using data-driven insights (with Data Analysts) to strengthen conversations Lead high-level customer discussions, enable commercial teams with tools/trainings, and act as a payment optimization SME across risk, fraud, conversion, and cost efficiency Analyze merchant portfolios and payment data to identify optimization opportunities, run playbooks, and drive performance and risk improvements Identify and support adoption of Adyen products (e.g. Protect, Uplift) in collaboration with Product teams Build dashboards/tools and scalable analytical solutions from large datasets to generate actionable insights Operate with autonomy and a global, strategic perspective across high-value customers and cross-functional teams Support team operations, mentor team members, and build strong relationships with regional customers and stakeholders Who you are 5+ years’ experience in Risk Fraud, Payments Performance, Data Analytics, Technical Account roles, or similar within fintech/payments, with strong understanding of regional payments landscape (scheme rules, regulations, risk considerations) Good stakeholder management across customers and cross-functional teams, with an ownership mindset and ability to prioritize and execute independently Comfortable working in fast-paced, global, cross-functional environments with a continuous improvement mindset Strong data analysis skills with experience handling complex datasets; BI tools (e.g. Looker, Tableau) is a plus Excellent communication skills in English Japanese, able to simplify complex topics for both technical and non-technical audiences Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable ca ... (truncated, view full listing at source)
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