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Senior Manager, Engineering(Platform)
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About this role
Role overview Lead a platform engineering team whose shared services, tools, and standards support multiple product engineering groups. You’ll manage a team of about five engineers, shape the platform roadmap, and help product teams adopt capabilities that make a growing commerce and supply chain technology stack more dependable and effective. The role combines people leadership, delivery ownership, technical judgment, and internal product management.
Responsibilities - Manage, coach, and develop the team, with scope expected to grow as platform needs expand. - Stay close to engineering work by reviewing important designs and changes, surfacing risks, and helping the team make sound technical decisions. - Set platform priorities and publish a roadmap that reflects the needs of product engineering teams. - Build relationships with engineering leaders, communicate progress and trade-offs, and earn adoption of shared capabilities. - Establish delivery practices and measures for quality, predictability, and adoption; use results to improve execution. - Guide hiring and team growth while balancing quality with practical delivery needs.
Requirements - A strong engineering background and prior success developing people and increasing impact through a team. - Experience leading a platform, infrastructure, or shared-services team whose users are other engineers. - Ability to set direction amid changing requirements and align teams without relying on formal authority. - Sound judgment about engineering quality, delivery constraints, and when to ship. - Skill explaining technical plans and trade-offs to engineers, product leaders, and executives. - Familiarity with AI coding tools and the ability to guide their use while maintaining engineering quality.
Nice to have - Production experience with Elixir or TypeScript, and interest in becoming fluent in both. - Experience driving internal platform or developer-tool adoption across teams, scaling engineering groups, or operating systems through major growth. - Background in event-driven systems, incident response, or introducing AI-supported engineering workflows.