Sr. Director, Software Engineering

AdvancedMD is seeking a Sr. Director, Software Engineering to lead engineering teams across a product line or multiple add-on modules. The role combines technical and business leadership, including ownership of the technical roadmap, quality strategy, AI-native delivery, and partnership with Product, Design, DevOps, and executives.

Responsibilities:

• Co-own the product line P&L with Product, optimizing cost of revenue, tech debt, and architecture adherence
• Own technical roadmap prioritization and act as product owner for tech initiatives
• Define and report system-level and product-level success metrics
• Lead AIDLC adoption across all scrum teams, embedding AI in planning, design, coding, review, testing, and release
• Own AI tooling strategy, including coding assistants, agents, and MCP-based integrations
• Govern AI use through guardrails, security, HIPAA/PHI compliance, and human-in-the-loop standards
• Deploy AI features and agents to production, and track AI unit economics (cost to serve vs. revenue)
• Own the product line QE and automation strategy, including escape-defect targets, release planning, and readiness
• Lead, mentor, and grow managers and senior engineers
• Coordinate release planning and lead impact analysis across scrum teams
• Develop department strategy, budgets, policies, and procedures
• Institutionalize OKRs and a metrics-based culture
• Run scrum-of-scrums as Single Initiative Leader for cross-team solutions
• Own minimum operating standards for the product line
• Manage COGS vendor and partner relationships, including procurement
• Report status, risks, and outcomes to executives on a fixed monthly cadence

Requirements:

• 12+ years in software engineering, including 6+ years leading managers and multi-team organizations
• Experience owning or co-owning a P&L or product-line budget
• Hands-on implementation of AIDLC or an AI-assisted SDLC at team scale
• AI tooling experience (e.g., Claude Code, Copilot, agent frameworks, MCP)
• Track record deploying AI/LLM capabilities to production at scale
• Strong QE and test automation background
• Vendor management and cost-of-revenue optimization experience
• Bachelor's degree in Computer Science or a related field
• Healthcare IT, EHR, or regulated-industry experience preferred
• Advanced degree preferred