Lead Engineer – Application Pod

Role Overview

• Own cross-cutting technical decisions — database architecture, API design, service boundaries, performance at scale. You make them, document them, and defend them.
• Drive the technical roadmap — working with the PMs, shape the engineering side of what we build and when, not just how.
• Ship — you are still hands-on. You own the hardest problems and the most critical systems. You are not a gatekeeper — you are a builder who also leads.
• Define how we build with AI — set the patterns for how engineers work with Claude Code: how to decompose problems, how to verify output, how to maintain quality at speed. Your approach becomes the team’s approach.
• Manage development across git worktrees and parallel agent sessions.
• Review, refine, and validate AI-generated code to ensure correctness, performance, and maintainability.
• Continuously improve development workflows using AI tools like Claude Code, CodeRabbit, and automated pipelines.
• Set the quality standard — you are the final word on code review, testing philosophy, and what “done” means. You establish the bar others are measured against.
• Write and maintain high-quality tests (unit, integration, and E2E using Playwright) as a core part of development.
• Ensure all features meet quality standards through automated testing, AI-assisted code review, and manual validation.
• Elevate engineers around you — make senior engineers better by reviewing their architecture, challenging their assumptions, and giving feedback that sticks.
• Review AI-generated and cross-functional PRs across the team.
• Work with product and design to challenge assumptions, refine requirements, and improve solutions.
• Define best practices for AI-assisted development, testing, and code review across the engineering organization.
• Create and maintain CLAUDE.md files and development conventions that scale across the team.
• Establish patterns for domain ownership, system design, and engineering workflows as the technical lead.

Requirements

• 8+ years of full-stack engineering experience, with depth in both backend and frontend systems.
• Has led technical direction — not just contributed, but led. You have been the person who made architectural decisions, documented them, and lived with the consequences.
• AI-first mindset — you are not experimenting with AI tools, you have integrated them deeply into how you build and have strong, experience-based opinions about their limits.
• Can spot the problem behind the problem — when a PM brings you a requirement, you understand the user need, the data model implications, and the long-term maintenance cost at the same time.
• Track record of raising team quality — engineers who have worked with you are better for it. You can point to specific things you changed.
• Comfortable with ambiguity — this is a company where the engineering org is being built in real time. You help build it — you do not wait for it to be built.
• Strong code review skills and judgment in evaluating code quality and readiness for production.

Benefits

• Competitive salary and discretionary bonus, plus equity options
• Unlimited PTO policy
• Medical, dental, and vision coverage
• Flexible hybrid work environment
• Regular team offsites and a budget for professional development