Senior Manager Software Development, AWS Systems Manager

What your teams will build

• Pre-execution impact analysis — LLM-powered previews that show customers exactly what a runbook will change before anything executes. Catches risky actions (restarting during peak, deleting resources with active dependencies) in real time.
• Enterprise-scale document sharing — seamless runbook sharing across hundreds of accounts and organizational units, solving the top customer pain point for enterprises operating at scale
• The safety framework that unlocks AI agent adoption — granular runtime permissions, approval workflows, and a break-glass execution model where agents execute through runbooks without needing direct infrastructure write permissions
• Intelligent orchestration — context-aware runbook recommendations that surface the right action at the right time based on operational signals

What you'll do

• Lead three SDMs and their teams through a multi-year roadmap from foundations (2026) through intelligent orchestration (2028)
• Partner with Frontier Agents, Pulsar (observability), and Binder (security) teams as the execution layer they build on top of
• Make hard calls about safety vs. speed — how much verification is enough before letting an agent execute a production change?
• Own service availability and operational excellence for services processing 175M+ automated actions per week across all AWS regions
• Grow engineers and managers who can independently design safety-critical distributed systems

Key job responsibilities

• You'll own three engineering teams end-to-end — their roadmaps, their operational health, and their people. Specifically:
• Set technical direction for the platform in partnership with Principal Engineers and product managers. You decide what to build, what to defer, and what to kill.
• Hire, develop, and retain three SDMs and their engineering teams. You understand the systems deeply enough to challenge technical decisions and are actively applying generative AI in all of your daily actions.
• Own service availability and operational excellence for services processing 175M+ automated actions per week across all AWS regions. When something breaks at 2am, your oncall teams handle it — because you built the mechanisms (runbooks, alarms, escalation paths) that make that possible.
• Drive cross-team partnerships with AI agent teams, observability, and security services who depend on your platform as their execution layer.
• Represent your teams in business reviews with crisp, data-driven narratives. You'll review your teams' progress monthly with multiple directors— showing roadmap progress, operational health, and customer adoption metrics.
• Make prioritization trade-offs between new features, tech debt, security compliance, and operational burden reduction.