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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Software Development, WorkSpaces for AI Agents, Applied AI Solutions - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $220,100.0 - $297,700.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Computing Platforms, Desktop Virtualization, Distributed Systems, Desktop Environments, OAuth, Remote Access Technology, Security Assertion Markup Language (SAML), Session Management, Software Engineering, Multi-Agent Systems - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1de4f9a65e5dc273 ## About the Role * 10+ years of planning, designing, developing and delivering consumer software experience * Experience managing multiple concurrent programs, projects and development teams in an Agile environment * 10+ years of software development experience and 5+ years managing software engineering teams. * Experience managing managers or leading multi-team engineering organizations * Experience owning delivery of distributed systems at scale, including security, reliability, and operational excellence * Track record of delivering complex, ambiguous initiatives from concept through production in enterprise environments * Experience hiring, developing, and retaining senior engineering talent, * Experience partnering with product and program management teams * Experience designing and developing large scale, high-traffic applications * Experience delivering infrastructure for AI/ML workloads, agent frameworks, or autonomous systems * Experience with desktop virtualization, remote computing protocols, or session management at scale * Familiarity with enterprise identity and access management (IdP federation, OAuth, SAML, SCIM) * Experience with security containment, blast-radius limitation, and compliance frameworks (NIST, SOC2, FedRAMP, HIPAA) * Experience building and scaling engineering organizations from an early stage, including hiring at senior and principal levels * Experience delivering products on top of a live, large-scale production service * Experience influencing technical direction at VP+ level in a large technology organization ## Description We are seeking a Senior Manager, Software Development to build and lead the engineering organization for WorkSpaces for Agents. This is a foundational leadership role on a product defining a new category: enterprise-grade desktop environments purpose-built for AI agents. You will hire, grow, and lead the engineering teams that build the systems letting autonomous agents securely provision sessions and operate desktop and mainframe applications, inside the compliance envelope that regulated enterprises require. The problems your teams will solve do not have established industry patterns. You will own delivery and set the organizational direction for how AI agents interact with computing environments at enterprise scale. What You Will Do Build and lead the engineering organization. Hire, develop, and retain high-caliber engineering managers and senior engineers. Set the talent bar, create growth paths, and build the culture that makes W4A a destination for the best builders. Own end-to-end delivery of the solution. Drive the roadmap and execution for how AI agents, from any framework, securely provision, connect to, and operate within WorkSpaces sessions: session lifecycle, multi-tenant isolation, elastic scaling, and cross-platform compatibility. Deliver the tooling and governance layers that make agents effective and trusted. Lead the teams building the managed MCP service and forwarded tools that improve agent accuracy while reducing cost, and the security model - session isolation, agent identity, permission boundaries, audit trails, and human-in-the-loop controls - that enterprises require. Balance invention with operational rigor. WorkSpaces has served enterprise customers for over a decade and operates at massive scale. You will build a new product category on this foundation while maintaining the reliability that customers depend on. Drive cross-organizational execution. Partner across AgentCore, Identity, Security, Networking, and the MCP ecosystem - and with product, science, and program leaders - to resolve dependencies and ship a coherent system. Key job responsibilities Set organizational direction and delivery strategy: Define the multi-year execution roadmap for W4A engineering, structure the teams to deliver it, and secure buy-in from VP-level leadership. Hire and grow engineering talent: Own recruiting, calibration, development, and retention across engineers and engineering managers. Mentor toward senior and principal scope, and raise the engineering bar across the organization. Deliver highly ambiguous, novel systems: Lead teams through foundational challenges in agent-computer interaction - session lifecycle, isolation, scaling, and cross-OS compatibility - where neither the approach nor the success criteria are pre-defined. Own operational excellence at enterprise scale: Ensure the systems meet the security, reliability, availability, and auditability bar that regulated enterprises require, and establish the operational mechanisms that sustain them. Deliver measurable business impact: Ensure execution translates to customer outcomes: faster setup, lower cost-per-action, higher task accuracy, reduced blast radius, and the operational metrics that demonstrate enterprise trust is being earned. Drive cross-organizational technical alignment: Work across partner teams to shape roadmaps, resolve architectural dependencies, and ensure cross-cutting decisions compose into a coherent system. Partner with product and science: Turn product vision and applied research into shipped capability.