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Software Development Manager (SDM), Enterprise Foundational AI
Job Location:
Job Location:
Seattle, OR - USA
Yearly Salary:
USD 184900 - 250200
Yearly Salary:
Posted:
1 October 2026 (Yesterday)
Posted:
Application Deadline:
29 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
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 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 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 Amazons 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 EFAIs 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
- Bachelors 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
- Experience building web applications with React and modern web technologies
- Experience delivering products against plan in a fast-paced multi-disciplined distributed-responsibility and often ambiguous environment
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 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 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 Amazons 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 EFAIs 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
- Bachelors 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
- Experience building web applications with React and modern web technologies
- Experience delivering products against plan in a fast-paced multi-disciplined distributed-responsibility and often ambiguous environment
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 184900.00 - 250200.00 USD annually
Required Experience:
Manager
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