Engineering Manager - Fullstack

Role Overview

Engineering Manager (Fullstack) at Bolt.new — a hands-on technical leader balancing coding and people leadership. You’ll own core platform architecture, drive code quality, and support team growth, spending significant time writing code while coordinating across teams.

Responsibilities

Technical Leadership

• Own core platform architecture including:
  • WebContainers integration
  • Browser runtime systems
  • Performance optimization
  • Backend infrastructure
• Write code regularly for complex features, migrations, and architectural improvements
• Review core platform PRs and maintain quality standards
• Lead technical initiatives and manage technical debt strategically
• Coordinate with other Team Leads on cross-domain architectural decisions

Team Development

• Conduct performance reviews and own career development for core team members
• Run regular 1:1s to support growth, unblock engineers, and provide feedback
• Make hiring decisions and proactively address performance issues
• Build a high-performing, autonomous team culture

Coordination

• Assign team members across features based on skills, capacity, and priorities
• Participate in coordination meetings with other Team Leads
• Hold 1:1s with the Head of Engineering to align on priorities and resources
• Run weekly core team meetings for knowledge sharing

AI-Native Development

• Champion AI coding tools and effective model usage
• Build AI-powered core platform features and intelligent runtime capabilities
• Dogfood Bolt.new daily and drive product improvements

Qualifications

• 10+ years full-stack/systems development
• 3+ years leadership experience
• Strong Node.js, TypeScript, and modern JavaScript ecosystem knowledge
• Expertise in browser APIs and browser-based runtime technologies:
  • WebAssembly, Web Workers, browser runtime environments
• Experience designing and scaling REST/GraphQL APIs serving high request volumes
• Understanding of distributed systems and cloud infrastructure (e.g., AWS, GCP, Cloudflare, or Azure)
• Proven ability to optimize backend performance, caching strategies, and database design
• Familiarity with containerization/virtualization/sandboxing concepts
• Experience with load balancing, rate limiting, and high availability
• Experience with developer tooling, build systems, and runtime optimization
• Daily use of AI coding assistants (Cursor, Copilot, Claude)
• Experience building AI-integrated applications and platform features
• Leadership experience: performance management, career development, hiring, and difficult conversations (including building backend/platform teams and remote culture)

Nice-to-Haves

• Not explicitly listed beyond the strong browser internals/platform focus and AI-integrated product experience.