$ cat jobs/director-platform-systems-joinroot-ef19fb2e10aa.json
Director, Platform Systems
Root is on a mission to unbreak insurance by creating experiences people love at prices they can't believe. We believe that investing in world-class technology will facilitate a new class of insurance products, driving a massive positive impact on the hundreds of millions of drivers who carry auto insurance in the US. The Opportunity As Director, Platform Systems, you will lead the teams that power Root's core engineering infrastructure and AI capabilities. Your portfolio spans AI focused teams, data infrastructure and reliability, platform infrastructure and reliability as well as DevEx -- the foundational systems that allow every engineering team at Root to move fast, ship reliably, and deploy intelligent products at scale. You are a senior engineering leader who can set multi-year technical strategy, grow a pipeline of engineering managers, and translate platform investment into measurable business outcomes. Salary Range : $217,000 - $285,000 (Eligible for Competitive Bonus & Equity Offering) Root is a "work where it works best" company. This means we will support you working in whatever location that works best for you across the US. How You Will Make an Impact Own the strategy and execution for Root's platform engineering and AI engineering functions, including leading teams responsible for AI enablement, CI/CD pipelines, AWS infrastructure, and our data engineering platform Partner with Product, Data Science, Quantitative Science, Security, and business leadership to align platform priorities to Root's highest-leverage opportunities Develop and evolve a talent strategy that attracts, retains, and grows top engineering talent across a multi-team organization at all levels Establish and hold teams to a high bar for reliability, security, and operational excellence across shared infrastructure and AI systems Drive the AI platform roadmap, ensuring Root has the internal tooling, data infrastructure, and deployment patterns necessary to responsibly scale AI-powered
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