Partner Engineer, Payments & Financial Technologies

We are technology experts who apply our engineering skills to bring a unique blend of business and technology expertise to build world-class payment experiences and ensure the success of Meta's users, products, and partners. As a Partner Engineer, you will develop scalable production-grade code across Meta's platforms; you will collaborate with other product engineering teams on product innovation; and you will work with partners' technical teams to design and deploy new solutions to solve Meta's users' needs. You will use your entrepreneurial passion and the freedom that the role provides to create your own opportunities and choose how you make an impact.

Responsibilities

Work with payments and fintech partners on initiatives across Meta's family of products and services Design, build, integrate, and launch end-to-end payment systems and solutions Build new products and improve existing ones in collaboration with Meta product engineering teams and cross-functional partners Diagnose and resolve complex cross-boundary issues, and identify opportunities for optimization Build and maintain scaled capabilities that drive product adoption and growth across partners Engage with technical teams at our partners to represent the best interests of Meta's users and improve their experience when using our services Translate partner and market feedback into product requirements, and influence Meta product roadmaps with through domain expertise and data-backed evidence Drive consensus across partner-side and Meta-side stakeholders on workflow and architecture changes, and develop long-term strategic plans grounded in business objectives Serve as the domain expert for your area within Partner Engineering, and raise the technical bar through code review and mentorship Represent Meta and our products, APIs, and tools in partner meetings and industry events Travel requirement: approximately 10 percent of the time

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years as a partner engineer, implementation engineer, software engineer, or equivalent roles, building and shipping production-quality code Experience in designing and architecting end-to-end systems Experience designing and operating API-based integrations (REST, webhooks, SDKs) across organizational boundaries Proficiency in one or more general-purpose programming languages and in development frameworks Experience shipping reliable, scalable, and efficient code, with an emphasis on long-term maintainability, in partnership with all appropriate reviewers, in manageable pieces with relevant documentation and test plans Experience independently querying and analyzing large datasets to diagnose complex issues, identify root causes, and inform technical and product decisions Experience in communicating technical concepts to non-technical audiences Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience Experience in translating business needs into product and technical scope, and advising on the right level of technical investment Domain expertise in payments or adjacent financial technologies, and experience delivering against compliance-driven requirements Experience in partner-facing or client-facing technical roles, including presenting to senior audiences Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience working in highly collaborative environments, across multiple markets or time zones Experience working on multi-person code bases Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience applying appropriate AI tools to accelerate software development, improve problem-solving, and deliver better outcomes while maintaining high standards for ownership, quality, security, and privacy Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience contributing to developer-facing and platform documentation