Director of Engineering, Core

The duties listed below are the essential functions of this position, and they may change as the needs of the company demand. All associates are expected to do what is necessary to get the work done and to cooperate fully with their supervisor’s requests for additional or altered duties. 

• Provide visionary leadership and strategic direction for the engineering organization, developing and implementing the engineering roadmap in alignment with company goals.
• Oversee the design, development, and deployment of scalable, secure, and high-quality .NET-based applications and services.
• Foster a culture of innovation, continuous improvement, collaboration, and technical excellence within the engineering team.
• Build and mentor a high-performing engineering team, including engineering managers, leads, and individual contributors; promote professional growth and knowledge sharing.
• Partner with Product, Design, QA, and Data Engineering teams to deliver features on time and on budget that meet customer needs and drive business outcomes.
• Govern the M3 software development lifecycle (SDLC) processes, agile methodologies, CI/CD practices, and technical standards across teams.
• Champion best practices in software engineering, including agentic workflows, code reviews, automated testing, observability, and cloud-native development.
• Drive innovation through the adoption of AI technologies, cloud platforms (preferably Azure), PaaS, IaaS and modern engineering approaches.
• Lead a phased agentic development roadmap, from AI-assisted research and IDE copilots to prompt-based code generation, AI pair programming, and workflow-aware agents.
• Establish governance, enablement, prompt/playbook standards, human review practices, and productivity and quality metrics for responsible AI-assisted development.
• Evaluate, introduce, and implement new technologies, frameworks, and tools to enhance platform performance, maintainability, and scalability.
• Ensure compliance with relevant industry standards, including security and regulatory requirements for accounting software within the hospitality sector.
• Establish and monitor key performance indicators (KPIs) for engineering productivity, software quality, and system reliability; use data and telemetry to drive decision-making.
• Oversee resource allocation, project planning, and prioritization to ensure timely and successful delivery of initiatives.
• Collaborate with executive leadership and business stakeholders to align technology strategy with organizational objectives and communicate progress and risks effectively.
• Govern and continuously improve engineering processes, compliance, documentation, and team collaboration.
• Represent the engineering organization in cross-functional meetings, company initiatives, and external partnerships.

• Bachelor's degree or higher in Computer Science, Engineering, or a related field; Master's degree preferred.
• 10+ years of experience building and leading web/SaaS-based application teams, with at least 5 years in a senior engineering leadership role.
• Proven experience managing engineering teams in a SaaS environment and delivering complex software projects.
• Deep expertise in C#, .NET Core, ASP.NET, SQL/noSQL databases, cloud platforms (preferably Azure), microservices, and DevOps practices.
• Experience with modern AI development technologies (Claude, GitHub CoPilot and Codex), data engineering, and cloud-native architectures.
• Experience introducing AI-assisted development practices such as research assistants, IDE copilots, prompt-based code generation, automated testing, or AI pair programming.
• Experience defining guardrails and success measures for emerging AI/agentic tools, including workflow-aware agents, security, compliance, code quality, and developer productivity.
• Strong understanding of software and data security, compliance, and governance principles.
• Excellent problem-solving, decision-making, and communication skills, with the ability to influence and collaborate with cross-functional teams.
• Experience using data/telemetry for team and system performance management.
• Experience in the accounting or financial software sector is a plus.