Amazon
Software Development Manager, GTM AI Tooling, Specialist Technology Team
$185K–$275K
Jersey City, NJ +4 · Manager · Full-time · Posted Oct 14, 2026
- Location
- Jersey City, NJ
Austin, TX
Seattle, WA
New York, NY
Houston, TX - Experience
- 3+ years of engineering team management; 7+ years of engineering; 6+ years leading definition and development of multi tier web services.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Leads engineering teams building and operating AI-powered GTM playbooks, recommendations, and platform integrations that help AWS field teams turn customer opportunities into sales plays.
What you'll do
- Lead and develop the engineering team responsible for GTM playbooks, the recommendations engine, Alchemy, and integrations.
- Architect and ship production agentic AI systems, including agent-assisted authoring and next-best-action recommendations.
- Set technical strategy and roadmap, and partner with Product, Science, GTM, TFC, and field leadership.
What they ask for
- 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 across the full software/hardware/networks development life cycle.
Nice to have
- Experience communicating with users, technical teams, and senior leadership to collect requirements and describe product features, designs, and strategy.
- Experience recruiting, hiring, mentoring/coaching, and managing Software Engineer teams.
Pay
203,400.00 - 275,200.00 USD annually (base salary); 184,900.00 - 250,200.00 USD annually (base salary)
Tools
LLMs, RAG, MCP, multi-agent orchestration
AI focus
Build production agentic AI systems, GenAI features, AI-assisted GTM playbooks, and a closed-loop AI/ML recommendations service that identifies content gaps and drafts next-best actions for human review.
Model-written summary · the original posting is authoritative