Director, Platform Systems

• 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 features
• Champion developer productivity, ensuring the DevEx and Infrastructure teams reduce toil, accelerate feedback loops, and establish clear standards across Engineering
• Cultivate strong engineering managers; build the leadership pipeline and ensure each team is well-led, well-staffed, and has a clear charter
• Work closely with Engineering leadership to improve the effectiveness of the Engineering organization as a whole
• Identify and remove systemic blockers across teams, owning cross-functional alignment where platform systems intersect with product delivery

• →12+ years in software engineering across individual contributor and management roles
• →7+ years as a people manager, with experience managing managers
• →Demonstrated success leading platform, infrastructure, or AI/ML engineering organizations
• →Experience setting technical strategy across developer tooling, cloud infrastructure, data platforms, or AI systems
• →Proven track record developing engineering managers and building high-performing, inclusive teams
• →Excellent communication and influence skills with both engineering peers and executive stakeholders
• →Comfortable operating in ambiguity and making principled decisions with incomplete information

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