Drimva

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

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)