Wand AI is revolutionizing the workforce by integrating AI agents with human labor. They are seeking an Engineering Manager to lead the development of a web-based personal assistant, guiding a team to deliver high-quality user experiences while overseeing both frontend and full stack architecture decisions.
Responsibilities:
- Lead and manage a team of frontend and full stack engineers
- Drive the design, development, and delivery of intuitive, responsive, and performant web applications
- Ensure frontend consistency through reusable components, design systems, and accessible UX patterns
- Collaborate with product managers, UX/UI designers, and AI teams to translate requirements into actionable solutions
- Oversee integration of frontend components with backend services, AI APIs, and real-time data pipelines
- Contribute hands-on to frontend and full stack development for key platform features when needed
- Lead architecture decisions around frontend frameworks, state management, and performance optimization
- Establish and enforce best practices for code quality, testing, and CI/CD pipelines
- Monitor platform performance, troubleshoot issues, and implement continuous improvements
- Foster a culture of collaboration, ownership, technical excellence, and user-focused design within the team
- Encourage experimentation and innovation in AI-driven UX and interactive web experiences
Requirements:
- Proven experience as an engineering manager or tech lead in frontend-focused web application development
- Strong expertise in React, JavaScript, and modern frontend frameworks
- Solid understanding of full stack development and integration with backend services and APIs
- Experience designing and delivering data-driven, interactive, and user-friendly web applications
- Strong eye for UX, visual design, and frontend usability patterns
- Strong debugging, problem-solving, and decision-making skills
- Excellent collaboration, communication, and leadership skills
- Experience with CI/CD pipelines, automated testing, and agile delivery practices
- Hands-on experience with AI agent platforms, chatbots, or intelligent assistant web applications
- Expertise in JavaScript/TypeScript, server-side rendering, and performance optimization for interactive apps
- Experience building real-time or event-driven web applications
- Familiarity with cloud-hosted platforms and distributed systems