Senior Manager, Software Development, WorkSpaces for AI Agents, Applied AI Solutions
Amazon.com Services LLC · Seattle, WA · Software Development
Full-timeSenior
About the role
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
AWS Applied AI Solutions' (AAIS) vision is every business innovating with Amazon AI teammates. Our mission is to build delightful AI solutions that improve human capabilities and business outcomes. The Agentic WorkSpaces organization within AAIS envisions a world where people, teams, and AI collaborate securely from anywhere to create unprecedented value for every organization. We build lovable products that empower every business to unlock the full potential of human-AI teamwork, driving smarter decisions, greater creativity, more value, and faster innovation with confidence.
Within Agentic WorkSpaces, our team is building WorkSpaces for Agents (W4A) where this vision meets enterprise reality. W4A enables AI agents to work the way humans do, with access to real applications, real interfaces, and real computing environments. We're building foundational infrastructure that allows autonomous agents to securely provision, interact with, and manage computing sessions at scale. Enterprises want to use AI agents for critical business workloads that touch legacy desktop applications and mainframes, yet 75% of organizations run legacy applications that lack modern APIs. WorkSpaces for Agents solves this painful problem: it gives enterprises the ability to connect their AI agents to a secure, governed, cloud desktop environment where agents can operate both legacy and modern applications directly, just as an employee would, without costly migrations.
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.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually
AWS Applied AI Solutions' (AAIS) vision is every business innovating with Amazon AI teammates. Our mission is to build delightful AI solutions that improve human capabilities and business outcomes. The Agentic WorkSpaces organization within AAIS envisions a world where people, teams, and AI collaborate securely from anywhere to create unprecedented value for every organization. We build lovable products that empower every business to unlock the full potential of human-AI teamwork, driving smarter decisions, greater creativity, more value, and faster innovation with confidence.
Within Agentic WorkSpaces, our team is building WorkSpaces for Agents (W4A) where this vision meets enterprise reality. W4A enables AI agents to work the way humans do, with access to real applications, real interfaces, and real computing environments. We're building foundational infrastructure that allows autonomous agents to securely provision, interact with, and manage computing sessions at scale. Enterprises want to use AI agents for critical business workloads that touch legacy desktop applications and mainframes, yet 75% of organizations run legacy applications that lack modern APIs. WorkSpaces for Agents solves this painful problem: it gives enterprises the ability to connect their AI agents to a secure, governed, cloud desktop environment where agents can operate both legacy and modern applications directly, just as an employee would, without costly migrations.
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.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic qualifications
- 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
Preferred qualifications
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually