Software Development Manager (SDM), Enterprise Foundational AI
# Software Development Manager (SDM), Enterprise Foundational AI **Amazon Development Center U.S., Inc.** · Seattle, Washington, USA · `On-site` · `full-time` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Amazon* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Software Development]` `[Software Development]` --- ### About the Role Do you want to shape how every Amazonian meets, collaborates, and gets work done in an AI-native world? Enterprise Foundational AI (EFAI) is building the foundational AI products and primitives that power Amazonian productivity globally, and we are looking for a Manager III, Software Development to lead our Meetings, Collaboration & Productivity team. You will lead a team of 10+ engineers building both the reusable AI building blocks that Amazon builders compose and the end-to-end products that any Amazonian can adopt, while driving a Tier 1 service to a clean, well-managed completion. Own high-impact scope: collaboration intelligence, and pre-/in-/post-meeting workflows used across Amazon. Build for leverage: deliver primitives that other builders reuse and core products that solve common workflows independent of org or role. Lead at the frontier: make AI an embedded, intuitive layer in how Amazonians work, not a separate tool to adopt. Grow people: develop engineers across levels and shape the next generation of technical and people leaders. Key job responsibilities - Lead, coach, and grow a team of 10+ software engineers, owning performance, career development, in-flight promotions, and hiring. - Own delivery, operational excellence, and on-call health for Tier 1 service through its lifecycle, from launch to deprecation. - Set and communicate clear priorities, maintaining top priority services at large scale while phasing in new initiatives on a capacity-driven timeline. - Deliver primitives (for example the Meeting Agent Platform, and meeting data APIs) that other Amazon builders compose into their own products. - Deliver core, end-to-end products (collaboration intelligence, pre-/in-/post-meeting workflows) that Amazonians adopt regardless of role. - Partner across organizations to sequence migrations and launches safely, and communicate timelines, capacity, and risk transparently to stakeholders. - Instrument outcomes so enterprises have clear line-of-sight into how their productivity grows. A day in the life Your day spans two worlds. In the morning you might review the phased rollout of a service authentication workflow and aligning with partner and security teams on rollback safeguards before accelerating traffic. Mid-day you meet with product and stakeholders on the Agent Platform roadmap, unblocking builders who compose your primitives into their own agents. In the afternoon you hold 1:1s with engineers and review a design for a post-meeting workflow. Throughout, you keep the team anchored on meetings and collaborations as the top priority while giving them a clear, motivating line of sight into the forward roadmap. About the team Enterprise Foundational AI (EFAI) accelerates Amazon's AI-native transformation by building, integrating, and scaling foundational AI products and experiences that power Amazonian productivity globally. We deliver two categories of work: technical primitives, the unified, secure, and intelligent building blocks that AI application builders compose to ship faster without reinventing common capabilities; and core AI products and experiences that solve end-to-end use cases common across Amazon, independent of organization or job role. The Meetings, Collaboration & Productivity team is EFAI's engine for how Amazonians meet, collaborate, and get work done. We build both layers of that model within our domain: primitives such as the Agent Platform, calendar MCP tools, and scheduling building blocks; and core products such as post-meeting agentic workflows. Our culture pairs high operational standards with genuine invention: we hold a Tier 1 service bar while inventing the AI-native experiences that will replace the old ways of working. Our aspiration, shared across EFAI, is that within a year every Amazonian uses AI as an embedded, intuitive part of how work gets done, so people focus on high-judgment decisions, creativity, and customer obsession while AI handles high-volume, repeatable work end-to-end. - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 7+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- Software Development
Наблюдалась 2026-09-29, впервые 2026-09-29, источник — Amazon.