Additional Information
Job Description:
At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. About the Role:
We're hiring a Product Managers to join Remitly's Finance Platform team in Krakow - focused on our Accounting platform.
Remitly is rebuilding its financial ledger as the durable foundation for accounting accuracy, automation, and controls - while continuing to operate a complex legacy subledger that supports today's products. As the PM for this platform, you'll own the execution of ledger enablement and expansion work: onboarding new products, geographies, and payment methods, automating manual accounting workflows, and strengthening financial controls across revenue, liabilities, and losses. You'll work closely with the Accounting team to translate domain requirements into reliable, first-time-quality product outcomes.
Y ou will report directly to the Global Senior Manager of Product.
This is a hybrid position in the Remitly Krakow office.
Key focus areas:
Ledger platform enablement - accelerating adoption of the new platform ledger across product use cases while maintaining and de-risking the legacy subledger during transition
Accounting workflow automation - reducing manual processes such as UEL-dependent workflows and manual journal uploads into Netsuite, improving velocity and accuracy
Controls and data quality - strengthening financial accuracy for sensitive accounts and building reliable alerting that reduces operational and financial risk
Expansion support - enabling faster onboarding of new products, geographies, and treasury use cases without proportional increases in Accounting effort
You Will:
Own the product backlog for your platform, developing clear requirements and acceptance criteria, and leading cross-functional execution with engineering to deliver reliable, on-time outcomes
Translate complex requirements from Finance stakeholders into well-scoped user stories and product solutions
Leverage AI tooling to improve platform configurability and accelerate adoption of new use cases, with sound judgment about where automation is appropriate vs. where controls require human oversight
Identify and drive automation of manual workflows, reducing operational burden and improving platform scalability
Partner with Engineering on tradeoffs between rapid iteration and foundational investments that build a sustainable, high-control platform
Define success metrics for your initiatives and communicate progress transparently to senior stakeholders
You Have:
AI fluency: demonstrated ability to identify where AI/ML drives genuine impact in operational or financial workflows, and the judgment to know where automation introduces unacceptable risk. Practical experience scoping and shipping AI-powered product features with engineering teams.
PM fundamentals: 3-5 years product management experience partnering with engineering teams, or equivalent experience with demonstrated product proficiency. Proven ability to independently manage a backlog, write clear requirements and acceptance criteria, drive sprint execution, and deliver on time.
Data and analytical skills: strong data skills with hands-on experience in tools such as SQL, BI tools (e.g. Tableau), or Python. Comfortable working in data-heavy environments and able to connect data needs to business outcomes.