Senior Customer Success Manager - Financial Services

Descripción del puesto

Senior Customer Success Manager - Financial Services WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Customer Success Team helps merchants get the most value out of Trustly, driving adoption of our products among their end users. We take a proactive, consultative approach, understanding each merchant's technology and strategy in order to drive mutual success. About the role The Senior Customer Success Manager will own a portfolio of Trustly's most strategic financial services merchants, with a strong focus on continuously optimising how these merchants use Trustly's products to maximize performance and value. Financial services merchants operate in a demanding environment: high transaction volumes, tight margins, complex regulatory requirements, and end users who expect seamless, reliable payment experiences. This role is about going beyond maintaining the relationship, proactively identifying where performance can be improved, benchmarking merchants against peers and potential, and driving the changes needed to unlock that value. The role demands a strong combination of technical and commercial skills, and close collaboration with Sales, Account Management, and Product. This role is based in either our London or Stockholm office. What you’ll do Owning end-to-end optimization of a por