• Define and execute a multi-year technology roadmap that systematically modernizes PracticeMatch's legacy platform, prioritizing migrations and rewrites based on business value, risk, and continuity.
• Partner with product and business leadership to align engineering priorities with PracticeMatch's competitive strategy and customer outcomes.
• Establish a pragmatic, phased approach to system transformation — maintaining product stability and customer commitments while executing toward a modern, maintainable architecture.
• Evaluate and recommend modern technology choices (languages, frameworks, cloud infrastructure, data platforms) that position PracticeMatch for long-term scalability.
• Champion the responsible adoption of agentic AI across the engineering lifecycle — from planning, design, and development through testing, deployment, and production operations — ensuring engineers build the review discipline and repository context that make AI-assisted work reliable.
• Lead, manage, and develop the PracticeMatch engineering team, including direct and indirect reports across software engineering and QA functions.
• Build and sustain a culture of engineering excellence: clear standards for code quality, security, documentation, peer review, and test automation.
• Attract, recruit, and retain strong engineering talent; build career paths and development plans that grow engineers at every level.
• Conduct regular performance conversations; provide direct, constructive feedback; and address performance issues promptly and fairly in partnership with HR.
• Foster psychological safety and a team environment where engineers can raise concerns, propose improvements, and learn from failure.
• Own engineering delivery — ensuring that projects are scoped well, executed reliably, and completed to a standard of quality the team can stand behind.
• Maintain and improve the engineering systems — CI/CD pipelines, automated testing, deployment infrastructure, quality gates, and observability — that allow the team to ship confidently.
• Troubleshoot complex production incidents; drive root cause analysis and durable fixes.
• Implement and refine the repository context, conventions, and executable plans that support effective agentic coding with tools such as Claude Code and Codex.
• Identify engineering work that can move to AI-assisted or automated workflows, keeping human review in place where it protects quality, accuracy, and compliance.
• Serve as the primary technology partner to PracticeMatch's business and product leadership, translating technical considerations into business terms and business priorities into engineering plans.
• Collaborate with M3 USA's broader technology leadership and other business unit CTOs on shared infrastructure, platforms, and standards.
• Communicate architecture decisions, transformation progress, and engineering health clearly to senior leadership, including the M3 USA CEO and CHRO.
• Partner with HR on workforce planning, organizational design, compensation benchmarking, and talent strategy for the engineering team.
