Staff Product Manager, Billing (Relocate to Singapore)

Attributes We Value: We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

Minimum Qualifications:

• 5–10 years of experience in Product Management, with exposure to payments, billing, invoicing, or financial services.
• Proven track record of taking products from ideation to delivery at scale, ideally in global payments, billing platforms, or digital wallets.
• Experience building or managing billing systems (subscription billing, invoicing, automated reconciliation, recurring payments).
• Strong ability to balance long-term product vision with short-term growth and execution needs.
• Comfortable working in data-driven, cross-functional teams, leveraging analytics or AI-powered billing tools to guide decisions.
• Flexibility to work across multiple time zones.
• Exceptional communication skills, able to articulate complex billing, payments, and AI product strategies to both technical and non-technical audiences.

Preferred Qualifications:

• Experience in building end-user experiences in invoicing, subscription billing, or merchant payment solutions, ideally with AI-powered automation.
• Background in hyper-growth startup environments, fintech, or software engineering.
• Experience collaborating with AI/ML engineers on billing and payments use cases such as fraud detection, automated reconciliation, invoice categorization, and revenue recognition.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, or a related field is strongly preferred.