Senior Manager of Software Tools Development

• We’re looking for a Senior Manager of SW Tools Development to lead an organization built on two closely connected pillars: AI-powered tools and agents, and the test infrastructure, data pipelines, and process automation that engineering and business teams rely on every day
• You’ll bring deep knowledge of large language models (LLMs) and applied AI, and use it not only to build new AI-driven products but to find where AI can meaningfully upgrade test infrastructure, data pipelines, and automation — the overlap between these areas is where some of your team’s highest-leverage work happens
• Beyond building the tools, you’ll be the face of your organization’s products internally — demoing capabilities, winning over new adopters, and growing the portfolio of tools your team owns
• You will manage multiple engineering teams (including managers), partner cross-functionally with stakeholders across the business, and build the processes that let your tools ship safely and reliably at scale
• 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

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description

• Experience with test infrastructure, data pipeline design, and process automation, including recognizing where AI/LLM techniques can improve or extend these systems
• Experience designing and shipping production AI agent or automation systems, including defining architecture, tool/integration contracts, and validation processes
• 6-8+ years of experience in software engineering or applied AI, including experience managing managers and/or multiple engineering teams, with accountability for delivery and quality across an organization
• Solid, practical knowledge of LLMs and applied AI, with experience identifying and delivering AI-driven solutions to real business problems
• Proven track record leading cross-functional programs and presenting to senior stakeholders, aligning priorities and driving adoption across teams and functions that don’t report to you
• Experience managing distributed or contractor engineering teams
• Background in complex, safety-critical, or high-uptime operational environments
• Experience operating AI-driven automation or triage tools in production with measurable quality/accuracy metrics