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The Brand Designer will enhance the GoCardless brand, creating visual assets for marketing campaigns, product launches, and lifecycle marketing. Responsibilities include collaborating with stakeholders and optimizing design processes, requiring expertise in Figma and familiarity with motion design tools.

As a Senior Site Reliability Engineer, you'll focus on delivering project work, providing operational support, and maintaining system health while collaborating with various engineering teams.

Join GoCardless as a Software Development Engineer II to design, build and own web products that enhance customer acquisition and retention. Collaborate with teams to innovate on payment solutions across various technologies.

The Software Development Engineer III at GoCardless will build automated systems, optimize internal workflows, and integrate various services while fostering a collaborative engineering culture.

The Systems Engineer will optimize operations by improving technical capabilities, maintain systems integration, and document processes while working closely with Operations teams.

As a Software Development Engineer III, you will enhance payment intelligence products, improve customer experience, and lead growth initiatives.

Work on platform engineering to build, automate and maintain cloud infrastructure and platform components; support operational excellence through on-call rotations, incident management, CI/CD, monitoring, and BAU; collaborate with engineering and data teams to design secure, scalable systems and reduce operational toil.

Manage and mentor a team of Data Scientists, oversee machine learning models, and shape technical solutions within the Payment Intelligence team.

As a Customer Success Manager, you will manage a portfolio of customers, drive engagement and growth, and collaborate with cross-functional teams to enhance customer value and retention.

Build and maintain intelligent payment data products to improve payment recovery and fraud prevention. Collaborate with engineers and stakeholders to develop Success+ and Protect+ features, improve ML models and rules, and enhance authentication flows to drive revenue and product adoption.