Software Development Manager (SDM), Enterprise Foundational AI

AI in this role

Lead a software development team building foundational AI products, primitives, and agent platforms for enterprise productivity.

ai-agentssoftware-developmentteam-managementai-primitivesagent-platforms

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.

Basic qualifications

- 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

Preferred qualifications

- 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 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 - 184,900.00 - 250,200.00 USD annually

How we rate this

Software Development Manager (SDM), Enterprise Foundational AI at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Software Development Manager (SDM), Enterprise Foundational AI is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $185k-$250k a year.
The role is based in US, WA, Seattle.
The job was posted on September 29, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsSoftware DevelopmentTeam ManagementAI PrimitivesAgent Platforms

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where team management was part of your work. What did you do?
Tell me about a project where ai primitives was part of your work. What did you do?
Tell me about a project where agent platforms was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Software Development, Team Management, AI Primitives, and Agent Platforms. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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