> Markdown version of [/jobs/ext/4249906-director-of-engineering-operator-tools](https://www.wearedevelopers.com/jobs/ext/4249906-director-of-engineering-operator-tools). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Engineering, Operator Tools - **Company:** Marginedge Co - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $185,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Software as a Service, Cloud Computing, Distributed Systems, Operational Data Store, Software Engineering, Usage Analysis, ReactJS, Large Language Models, Claude Code, AI Coding Agents, Data Management - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=045bb19c3810e18a ## About the Role * 12+ years of software engineering experience, including 6+ years in engineering leadership and at least 3 years managing managers. * A proven track record of building and scaling multi-team engineering organizations with a strong focus on delivery, quality, and culture. * Experience shipping AI/ML or LLM-powered features to production, with a practical understanding of what it takes to make them reliable, measurable, and cost-effective. * A strong software development background in Java and/or JavaScript (React), with the technical depth to evaluate architecture and challenge technical decisions. * Experience partnering with product and design leadership in a product-driven environment, including shaping roadmaps together and prioritizing against business outcomes. * The ability to set strategy and lead through ambiguity, balancing technical excellence with business goals when priorities compete. * Excellent communication skills. You can get stakeholders aligned, report status and risk to executives, and explain technical ideas to non-technical audiences. * Experience with cloud-based systems, distributed architectures, and AWS infrastructure. Nice to Haves: * A background in restaurant technology or hospitality software. * Experience at a fast-growing SaaS startup, especially scaling an engineering organization through growth. * Experience with data platforms, analytics products, or real-time insights and reporting. * Experience with IoT device management or hardware-integrated products. * Hands-on experience using AI coding agents such as Claude Code to speed up software development. ## Description * Set the vision and engineering strategy for Operator Tools. Work with product and design leadership on a roadmap that brings cutting-edge AI capabilities into practical, reliable features operators trust. Turn business goals into clear priorities, and make sound calls on where to invest, what to build, and what to leave out. * Lead, coach, and grow a team of engineering managers while also managing a team of engineers directly. Hire strong leaders, develop them, and build depth on the bench. Create a high-performance culture of ownership, accountability, and continuous improvement across the division. * Build an organization that stays at the cutting edge of what's possible. Keep a close eye on the latest advances in AI, and look for ways to use them in our products and to improve how your teams work. Hold a high bar on quality, security, and technical judgment throughout. * Own delivery and operational excellence for every system in Operator Tools. Put planning and execution practices in place that work across multiple teams, manage dependencies with the rest of the organization, and make sure your teams ship high-quality software on predictable timelines. * Guide technical strategy and architecture for the division. Help teams balance moving fast against the long-term health of the platform, and work with other engineering leaders to keep the approach consistent across MarginEdge. * Stay close to customers and the business. Use customer feedback, product analytics, and operational data to measure impact and find recurring pain points, and push for the investment needed to fix them. Clearly report progress, risks, and outcomes to executive leadership.