Block Renovation - Engineering Manager
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Requirements
• 2+ years in an engineering leadership or senior mentorship role (Engineering Manager, Tech Lead, or equivalent), with 5+ years of hands-on software engineering experience • Demonstrated ability to balance people leadership with sustained, meaningful technical contribution • Strong product instincts and comfort working across engineering, product, and design to solve complex problems • High openness to experimentation, particularly with AI-driven and agentic development tools (e.g., Claude Code, Cursor, Copilot, internal agents) • AI-driven and agentic development tools • Experience building and scaling modern web applications across front-end and back-end systems • Comfort leading and collaborating with a fully remote or distributed team • Proficiency with modern web technologies such as TypeScript, React, Next.js, Node.js, and API-driven architectures • Experience working on AI-powered products or integrating LLMs, workflows, or chains into production systems • Familiarity with our current stack (NextJS, TypeScript, React, Feathers, NodeJS) • Block wants all employees to be supported in their personal and professional development, so we take a comprehensive approach to compensation and benefits. The initial salary for this position is expected to range from $149,000 to $201,000. This is a remote friendly position. Actual compensation will depend on numerous factors such as experience, knowledge and skills, qualifications, location, and other job-related factors.
Responsibilities
• Lead and develop a team of 4–6 engineers through mentorship, coaching, and regular feedback, fostering a high-trust, inclusive, and delivery-focused environment • Spend approximately 50% of your time contributing directly to the codebase, owning meaningful product and platform work alongside your team • Partner closely with Product Management, Design, and Engineering Leadership to shape squad goals, scope work, and deliver against the roadmap • Actively participate in architectural decisions, technical design discussions, and code reviews to maintain a high bar for quality and maintainability • Lead by example in adopting and evolving AI-native, agentic development workflows, integrating them into how the team plans, builds, and ships software • AI-native, agentic development workflows • Support execution by managing team capacity, prioritization, and delivery while balancing speed, quality, and technical health • Collaborate with Engineering Leadership to evolve standards, processes, and best practices across the organization
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