Director of Engineering

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.

We're looking for a Director of Engineering to become the day-to-day leader of Moxie's Engineering organization. You'll own delivery, organizational health, manager development, staffing, and engineering operating strategy for roughly 60 engineers, and you'll lead our AI strategy and execution across both the product and the software development lifecycle. Engineering is Moxie's largest organization, and this hire is how it gets a leader with the time and technical depth to take it to the next level.

You'll partner daily with the Head of Engineering and with Product leadership through the Product and Engineering operating cadence.. You'll inherit a productive, fast-moving engineering organization at an exciting inflection point, with the opportunity to further mature our engineering practices and help shape our transition toward AI-powered software development.

• Become the clear leader of Engineering. Within three months all seven EMs report to you with a working management cadence, you run the Engineering side of the Product and Engineering operating cadence, and you are the first escalation point for cross-team delivery, staffing, and execution issues. By month six you own delivery end to end and routine issues resolve without the Head of Engineering.

• Mature existing measures and drive improvement. Within three months, you build on and refine existing measures of Engineering performance and health (Linear, DORA, and reliability metrics) and implement 2–3 concrete operating improvements. By month six, those KPIs are reviewed regularly and drive action across teams, with measurable gains in delivery predictability, cycle time, or reliability.

• Make AI a source of leverage. Assess current AI usage across the product and SDLC in your first quarter, drive at least one AI or agentic initiative into production use by month six, and by month nine embed AI-assisted development in the Engineering operating model while holding production AI to clear standards for architecture, security, cost, and reliability .

• Set an opinionated technical roadmap. By month nine 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.

• 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.

• Operating rigor. You’ve built KPI systems (DORA, cycle time, reliability) that teams actually use to change behavior, and you can partner with Product leaders to surface risks, dependencies, and tradeoffs early.

• Proven experience building production AI and agentic systems. You’ve shipped AI in a product or SDLC with real standards for evals, observability, security, and cost, and you can explain the ROI impact of the work in detail.

• Technical judgment. You…