Technical Operations Manager (Payments)

TL;DR

Technical Operations Manager (Payments): Managing and optimizing global network cost structures for a financial infrastructure platform with an accent on SQL-based data analysis, fee modeling, and cross-functional collaboration. Focus on translating complex network specifications into billing logic, automating operational processes, and driving cost-saving strategies across engineering and finance teams.

Location: Singapore

Salary: S$96,000 - S$144,000

Company

Stripe is a global financial infrastructure platform that enables businesses to accept payments and manage revenue online.

What you will do

• Collaborate with engineering, finance, and product teams to analyze large-scale payment data.
• Translate complex network specifications into billing models for interchange and scheme fees.
• Influence product strategy to minimize network costs and identify cost-saving opportunities.
• Monitor fee accuracy through validation and alerting systems.
• Create documentation and host educational sessions for internal stakeholders regarding fee structures.
• Automate inefficient operational processes to improve scalability and speed.

Requirements

• 4+ years of experience in Payments at a leading technology or payments company.
• Proficiency in SQL for querying relational databases.
• Experience managing communications and workflows across technical and non-technical stakeholders.
• Strong financial modeling and diagnostic skills for investigating large-scale technical issues.
• Ability to manage concurrent work streams and drive solutions with clear metrics.

Nice to have

• Experience in high-growth fintech or management consulting environments.
• Experience mentoring junior team members in technical and operational strategy.
• Experience working with visualization tools.
• Background in handling operational tickets and adhering to performance metrics.

Culture & Benefits

• Opportunity to work on core financial infrastructure impacting the global economy.
• Collaborative environment working at the intersection of product, engineering, and finance.
• Focus on data-driven decision making and process automation.
• Exposure to high-scale payment systems and complex financial logic.