Engineering Manager, UI Claude Consumer Products

Responsibilities

• Lead and grow the UI Platform team, setting technical direction for reliability, performance, and developer experience across all Claude.ai surfaces
• Own the foundational systems that product teams depend on: shared components, build and deploy pipelines, observability, and performance infrastructure
• Drive improvements to developer velocity—reducing friction, improving tooling, and enabling teams to ship features faster and more safely
• Establish and maintain high standards for latency, reliability, and quality across the platform
• Partner closely with product engineering, infrastructure, and leadership to align platform investments with product priorities
• Create clarity and direction in a fast-moving, ambiguous environment where priorities shift as Claude.ai evolves
• Build a culture of technical excellence, collaboration, and continuous improvement within your team

Requirements

• 10+ years of software engineering experience, with significant time spent building platforms, developer tools, or infrastructure for consumer-facing products
• 5+ years of engineering leadership experience, including managing and growing teams in high-growth environments
• Deep expertise in modern web development stacks (React, Next.js, TypeScript)
• Passionate about developer experience and have a track record of building tools and systems that make other engineers more productive
• Strong opinions on reliability, observability, and performance—and know how to operationalize those opinions at scale
• Can balance technical depth with strategic thinking, staying hands-on while also setting long-term direction
• Thrive in ambiguity and can create structure and clarity for your team when the path forward isn't obvious
• Communicate effectively across functions and can build alignment with product, design, and infrastructure partners
• Bachelor's degree or equivalent combination of education, training, and/or experience in a relevant field

Nice-to-Haves

• Experience building and scaling platforms for multiple surfaces (web, mobile, desktop, extensions) with shared infrastructure
• Performance optimization and latency reduction in consumer-facing applications
• CI/CD, build systems, and deployment automation at scale
• Observability and monitoring systems (metrics, logging, tracing)
• Working on AI/ML products or in rapidly evolving product environments