Group Product Manager - Financial Services

Role overview

Product strategy and delivery

• Define and own the Financial Services product vision and strategy for the small-business product suite.
• Lead payments infrastructure modernization, reduce fraud exposure, resolve reliability gaps, and build customer trust.
• Own uptime, reliability, and observability commitments for payments products and partner with Engineering and Data teams on stability SLAs.
• Partner with Fraud/Risk Operations, Compliance, and Security on onboarding, underwriting, and fraud mitigation.
• Integrate payments and financial-services workflows with Accounting and Tax products for an end-to-end small-business experience.

Business and team leadership

• Align stakeholders across Engineering, Design, Customer Success, Finance, Risk/Fraud Operations, Compliance, Security, and Marketing.
• Build business cases, assess financial impacts, define customer and business benefit OKRs, and use data to prioritize and measure product outcomes.
• Identify AI opportunities in productivity, fraud detection, risk decisioning, operations, and customer experience.
• Coach Product Managers, raise product-thinking quality, and foster cross-functional collaboration.
• Drive operational excellence through retrospectives, coaching, and ongoing refinement of team processes.

Experience and expertise

• 8+ years of product-management experience, at least 5 years in fintech, and 2+ years leading product teams at Group level or above.
• Deep financial-services expertise, ideally including payments acquiring, acceptance, payment facilitation, fraud and risk controls, and processor or platform partnerships.
• In-depth knowledge of financial-product onboarding, including KYC and KYB, and risk and fraud mitigation.
• Experience with payment processor or platform partnerships and migrations at scale is a strong plus.
• Proven record leading product teams and taking new fintech products from ideation through launch and scale.
• Able to work within compliance, regulatory, and audit constraints while balancing customer and business outcomes.
• Demonstrated judgment on high-leverage AI opportunities for productivity, risk and fraud decisioning, or customer experience.

Working approach