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# Software Development Manager, GTM AI Tooling, Specialist Technology Team

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $184,900.0 - $275,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Software Product Management, Software Engineering, Systems Integration, Management of Software Versions, Web Services, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Information Technology, Build Process, Software Coding, Software Version Control
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1ee77b5e4d2576cd

## About the Role

* 3+ years of engineering team management experience
 * 7+ years of engineering experience
 * 6+ years of leading the definition and development of multi tier web 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

PREFERRED QUALIFICATIONS

 * 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

## Description

* Lead the engineering team that owns GTM playbooks and the recommendations engine within the Specialist Knowledge Vault, along with the Alchemy platform and its integrations.
 * Architect and ship production agentic AI systems using LLMs, RAG, MCP, and multi-agent orchestration, delivering endorsed sales plays, assets, and next-best actions to field teams in the tools where they already work.
 * Build, manage, and develop a high-performing SDE team, maintaining Amazon's hiring bar while fostering a culture of technical ownership, rapid experimentation, and operational excellence.
 * Drive the move of GTM authoring from hand-maintained sales plays to agent-assisted playbooks in KV, with versioning, pre-publish testing, conflict detection, and health scoring that give field teams confidence in AI output.
 * Evolve the recommendations engine from identifying knowledge gaps and inaccurate content to recommending and drafting the next best action, using signals such as agent conversations, field adoption, pipeline, and customer feedback.
 * Own the technical strategy and roadmap across all products, making trade-offs between speed-to-delivery and long-term platform scalability, in close partnership with the engineering teams that share the KV platform.
 * Partner with Product, Science, GTM, TFC, and field leadership to translate ambiguous problems into engineering deliverables, and represent the team in executive reviews with Directors and VPs.

About the team
You will be joining a high-growth engineering organization that is at the forefront of applying generative AI and agentic technologies to transform how AWS GTM teams plan, author, and deliver strategy to the field. The pace of innovation is high, the problems are ambiguous, and the impact is measured by how quickly customer opportunities become sales plays in the hands of thousands of field team members and the pipeline they create. This role offers the opportunity to shape how an entire organization builds, governs, and measures AWS' go-to-market content.