At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide.

Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey.

Director of Engineering

We're looking for a Director of Engineering to lead Moxie's Engineering organization through its next phase of growth and technical transformation. Your primary mandate will be to materially improve our engineering delivery velocity, predictability, and quality by identifying and eliminating bottlenecks across our software development lifecycle, modernizing our engineering practices, and leveraging AI and automation to increase engineering productivity.

You'll lead an organization of roughly 60 engineers, owning day-to-day delivery, organizational health, manager development, staffing, and engineering operating strategy. You'll partner closely with the Head of Engineering and Product leadership to translate these improvements into faster, more reliable delivery of customer and business value.

Our Objectives for the Role

Become the clear leader of Engineering. Within your first 30 days, assume day-to-day leadership of the Engineering organization, establish an effective operating cadence with our Engineering Managers, and become the primary escalation point for cross-team delivery, staffing, and execution issues. Within 60 days, take full ownership of engineering delivery and organizational performance, with routine execution and management decisions operating independently of the Head of Engineering.

Materially improve engineering delivery effectiveness. Within your first 30 days, assess existing engineering performance measures (Linear, DORA, reliability metrics, etc) and identify the largest bottlenecks to engineering throughput. By day 60, establish and begin executing a prioritized improvement plan with measurable targets. By day 90, demonstrate meaningful progress against the highest-priority bottlenecks, and by month four, deliver a material improvement to at least one major constraint.

Modernize engineering delivery practices. Partner with Platform Engineering and technical leadership to simplify and accelerate our CI/CD pipelines, improve release frequency and reliability, and reduce manual bottlenecks across development, testing, code review, and deployment. Leverage automation and AI-assisted workflows to increase engineering throughput while maintaining strong standards for verification, security, and production quality.

Make AI a source of leverage. Build on our existing adoption of AI-assisted development to systematically improve engineering productivity and software delivery. Within your first 30 days, assess our AI development practices and identify opportunities for higher-impact automation. By day 60, prioritize and begin executing initiatives across agentic development, automated testing, code review, and delivery workflows. By day 90, demonstrate initial operational improvements, and by month six, establish AI-driven engineering practices that measurably improve delivery throughput, cycle time, or quality while maintaining clear standards for security, reliability, cost, and verification.

Set an opinionated technical roadmap. By month four Engineering ships meaningfully more customer and technical value per engineer, with capacity deliberately allocated across product delivery, architecture, platform investment, reliability, developer productivity, and technical debt, and aligned with Product and company priorities.

We're Looking For

12+ years of software engineering experience, including 5+ years in engineering leadership and at least 3 years leading managers and technical leaders.

Management depth. You've run a 30-60 person engineering organization through multiple Engineering Managers, ideally at a Series B-D product company, and you set a consistent management bar, develop and coach EMs, and handle performance, staffing, and org design decisions directly, including through a reduction in agency reliance.