Product Manager, Payments

Posted Yesterday
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Kraków, Małopolskie, POL
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Lead product strategy for payments and finance products, integrating AI to automate billing, invoicing, and pricing. Design scalable finance systems, establish a Single Source of Truth, implement observability, and collaborate with legal, finance, compliance, sales, and operations to deliver reliable, customer-centric solutions.
Summary Generated by Built In
Description

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.

We are seeking a Product Manager with deep expertise in the payments industry. You will integrate AI to address challenges in process automation, streamline billing and invoicing processes, and develop flexible pricing models. Your goal will be to enhance the efficiency, accuracy, and scalability of our financial processes, ensuring they meet customer needs and support business growth. You will collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.

You will:

  • Bring a data-driven mindset to setting goals and milestones for finance-related products, leveraging AI to inform decisions.
  • Conceptualize and analyze different parts of our infrastructure and how they interrelate.
  • Create bold, game-changing ideas and deliver solutions for customer problems in the finance domain.
  • Elicit non-obvious customer needs and synthesize research to gain a deep understanding and narrow definition of a problem.
  • Co-create with teammates to deliver high-quality results and communicate with clarity.
  • Confidently engage in deep technical discussions with engineers regarding architectural trade-offs, system design, and implementation approaches.
  • Automate manual finance processes and streamline distributed workflows across billing, invoicing, and payments operations.
  • Establish and evolve a Single Source of Truth (SSoT) for finance data, ensuring consistency, accuracy, and scalability across systems.
  • Design and optimize flexible pricing models and customer-specific billing configurations.
  • Improve invoice generation, consolidation, and financial data accuracy across complex global workflows.
  • Implement observability and monitoring capabilities to proactively detect and resolve financial system issues.
  • Collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and execution success.
  • Leverage AI-powered tools and capabilities to automate financial workflows, improve billing accuracy, enhance pricing optimization, and support scalable finance operations.
  • Use AI-driven insights to improve decision-making across billing, invoicing, and revenue operations, including anomaly detection, forecasting support, and process optimization.
  • Drive the adoption of AI-enabled automation within finance products to reduce manual effort and increase scalability, reliability, and compliance.
Requirements
  • 5+ years of experience as a Product Manager or Technical Product Manager at leading SaaS companies with significant growth, preferably in the payments domain.
  • Proven track record in building and launching scalable and reliable services.
  • Experience in applying AI to solve complex problems and enhance product features.
  • High standards for personal contributions and team performance.
  • Strong collaborative skills and ability to simplify complex issues for effective communication.
  • Hands-on approach and willingness to tackle challenges directly.
  • Customer-centric mindset with a history of resolving tough product issues to ensure satisfaction.
  • BA/BS in Computer Science, Software Engineering, or a related field.
  • Strong technical understanding from high-level software abstractions to detailed system implementation.
  • Hands on ability to effectively leverage AI tools in product management, particularly in automation, billing optimization, pricing intelligence, and financial systems design.
  • Experience integrating AI-driven capabilities into payments or finance platforms to improve operational efficiency and scalability.

Skills Required

  • 5+ years as a Product Manager or Technical Product Manager at leading SaaS companies, preferably in payments
  • Proven track record building and launching scalable, reliable services
  • Experience applying AI or machine learning to solve complex product problems
  • Hands-on ability to leverage AI tools for automation, billing optimization, pricing intelligence, and financial systems design
  • Experience integrating AI-driven capabilities into payments or finance platforms
  • BA/BS in Computer Science, Software Engineering, or related field
  • Strong technical understanding from high-level abstractions to detailed system implementation and architecture
  • Customer-centric mindset with history of resolving difficult product issues
  • Strong collaborative skills and ability to simplify complex issues for communication
  • High standards for personal contributions and team performance; hands-on approach
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The Company
HQ: New York, NY
807 Employees
Year Founded: 2016

What We Do

Imagine controlling all your global payroll and payments from a single place, supported by certified experts who keep you compliant in every country, even when laws change. No more juggling third parties. No more foreign bank accounts. No more repetitive manual work. Finally, there’s one platform that gives you total control of your global operations, from creating local contracts automatically to paying workers in the local currency of 160+ countries. It’s called Papaya Global, and we’d love to show it to you. Papaya Global: How the world gets paid

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