Director, Engineering

Lead the org. Manage and grow 3–4 engineering teams across the product line. Hire, coach, and develop managers and senior ICs.

Set technical direction. Own architecture, delivery priorities, and engineering standards across your teams. Make the trade-offs that matter, build vs. buy, speed vs. reliability, automation vs. headcount.

Build with AI, not around it. Ship production-grade AI agents, RAG systems, workflow orchestration, and tool-calling capabilities. Drive measurable reduction in manual work and meaningful lift in operational accuracy.

Turn operations into product. Partner with Product, Operations to convert recurring operational pain into reusable platform capabilities, anomaly detection, intelligent reporting, decision support, automated workflows.

Raise the engineering bar. Drive excellence across architecture, code quality, testing, CI/CD, observability, security, and release management. Improve delivery predictability and platform reliability quarter over quarter.

Use data as a product asset. Mine platform data for risk signals, efficiency gaps, and product opportunities. Make data-driven prioritization the default, not the exception.

Plan capacity, ruthlessly. Balance roadmap delivery, automation investment, technical debt paydown, and innovation across teams. Defend the long-term while shipping the quarter.

Build the culture. Establish clear ownership, high standards, and a high-performance, low-drama team culture. Develop the next layer of engineering leaders under you.

10+ years of engineering experience, including 5+ years leading engineering teams (managers reporting to you is a plus).

Track record of leading teams that built and scaled enterprise SaaS platforms, VMS, workforce management, procurement, FinOps, HR Tech, or workflow automation.

Practical, production experience with AI agents, GenAI, RAG, agent orchestration, tool-calling, and AI evaluation. You've shipped this in front of real users, not just prototyped it.