Swiftly is the AI platform purpose-built for retail, serving retailers, wholesalers, and brands. Swiftly's AI agents unify data, automate workflows, and power the marketing that drives measurable business growth. Swiftly AI is built on the industry's largest proprietary retail dataset: live transactions, 9 million products, and the closed-loop campaign outcomes of 33,000 stores. Trusted by leading retailers, wholesalers, and hundreds of iconic brands, Swiftly unifies data across the retail ecosystem to accelerate growth and power the connected, personalized experiences that drive lasting shopper loyalty. Position Summary: Swiftly is searching for a Manager of Infrastructure Engineering to lead a small infrastructure team responsible for operating and modernizing our production platform. This is a hands-on player-coach role with an approximately 50/50 split between individual technical contribution and people management. In practice, this role will personally execute important infrastructure initiatives while also setting direction, coaching engineers, and ensuring strong team delivery. The manager will help complete our remaining infrastructure modernization, improve reliability and developer experience, and contribute directly to the technical work required to move key initiatives forward. We are a fast-moving startup, so this role requires strong pragmatic judgment. The right leader can distinguish urgent production risks from important but deferrable improvements, balance reliability and security with engineering capacity and business priorities, and create appropriate guardrails without unnecessarily slowing down development. The manager will partner closely with engineering, security, compliance, and other technical leaders. Success in this role comes from delivering infrastructure outcomes, creating clarity, and reducing operational and coordination overhead for the broader engineering organization. As an AI-native company, we expect engineering leaders to use AI tooling effectively to accelerate delivery and reduce operational toil. Strong preference for candidates based in Pacific to Central time zones to support real-time collaboration with our core team.