Job Title: Engineering Manager

Company Name: Bolt Technologies

Job Url: https://boards.greenhouse.io/embed/job_app?token=4113015009&utm_source=jobright&jr_id=69a8a52f79f3f4037f42da76

Job Description: How You'll Contribute 
Lead and Empower Your Team
Coach and develop engineers through code reviews, pairing, 1:1s, and clear, actionable feedback.
Set technical direction and quality standards, balancing pragmatic delivery with long-term maintainability and managed tech debt.
Translate company goals into an executable roadmap with Product, Design, and AI partners, and coordinate cross-team architecture decisions.
Build a safe, high-performing team culture by hiring well, addressing performance issues early, and creating space to experiment and learn.
Unblock the team and improve velocity by clarifying requirements, advocating for resources, improving processes, and pushing back on unrealistic timelines.
Team Development
Conduct performance reviews and own career development for core team members
Hold regular 1:1s to support growth, remove blockers, and provide feedback
Make hiring decisions and address performance issues proactively
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
Regular 1:1s with 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 model effective usage
Build AI-powered core platform features and intelligent runtime capabilities
Dogfood Bolt.new daily and drive product improvements
 

💡 Qualifications
Technical
7+ years full-stack/systems development, 3+ years leadership
Strong Ruby on Rails, JavaScript and Typescript ecosystem knowledge
Experience designing and scaling REST/GraphQL APIs serving millions of requests
Understanding of distributed systems and cloud infrastructure (AWS, GCP, Cloudflare or Azure)
Proven ability to optimize backend performance, caching strategies, and database design
Experience with containerization, virtualization, and sandboxing concepts
Knowledge of load balancing, rate limiting, and designing for high availability
Experience with developer tooling, build systems, and runtime optimization
Track record of architectural decisions balancing speed and maintainability
Daily user of AI coding assistants (Cursor, Copilot, Claude)
Experience building AI-integrated applications and platform features