Lead and manage cross-functional, geographically diverse engineering teams of engineers responsible for developer experience, platform infrastructure, and A/B experimentation systems. Present technical concepts and recommendations to executive leadership and stakeholders, translating complex technical topics for non-technical audiences. Recruit, interview, hire, and develop engineering talent, providing mentorship, career growth opportunities and performance management for team members. Evaluate and adopt new technologies, tools, and methodologies to advance developer experience and experimentation capabilities, including AI-driven development tools and automation platforms. Design and architect scalable developer platforms, internal tools, continuous integration / continuous deployment (CI/CD) pipelines, and build systems to improve engineering productivity and velocity, including AI-powered code assistance and automated development workflows. Develop and maintain A/B testing and experimentation frameworks, including statistical methodologies, feature flagging systems, and metrics collection infrastructure. Define technical roadmaps and strategy for developer experience and experimentation platforms, aligning with business objectives and engineering needs. Collaborate with Product Management, Data Science, UX, Compliance, Security and other engineering teams to prioritize features and establish cross-functional initiatives. Make architectural decisions for large-scale distributed systems, ensuring high availability, performance, and reliability of platform services. Establish and enforce engineering best practices including code review processes, testing strategies, deployment procedures, and documentation standards. Optimize development workflows, build times, and developer tooling to maximize team productivity across the organization, leveraging AI and machine learning for intelligent automation and developer assistance.
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Job Type
Full-time
Career Level
Manager
Number of Employees
501-1,000 employees