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Lead and grow multiple engineering teams spanning AI-powered tools/agents and test infrastructure, data pipelines, and process automation, managing and mentoring managers and senior engineers, and holding your organization accountable for delivery and quality across both areas.
Set a unified, prioritized roadmap across your organization that balances new AI agent/tool capabilities with test infrastructure, data pipeline, and process automation needs — with a sharp eye for where applying LLMs to automation, pipelines, or test systems creates outsized leverage.
Design and enforce the architecture, quality gates, and release processes that ensure tools, pipelines, and AI agents are validated, secure, and reliable before reaching production.
Partner cross-functionally with engineering, operations, and business leadership across the company to align priorities, scope integrations, and drive adoption of new tooling at an organizational level.
Demo and present your team's tools to internal stakeholders, attract new internal customers, and grow the portfolio of products and use cases your team supports.
Build and continuously improve the processes (planning, release management, quality assurance, reporting) that let your organization ship tools predictably and at scale.
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Experience operating AI-driven automation or triage tools in production with measurable quality/accuracy metrics.
Background in complex, safety-critical, or high-uptime operational environments.
Experience managing distributed or contractor engineering teams.
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
Full-time
Senior · 8+ years experience
Hybrid
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