Requirements
- 15+ years of progressive software engineering experience, including 8+ years in senior leadership roles managing multiple engineering teams and leaders of leaders
- Demonstrated AI conviction — you lead AI-native delivery in practice, not just in aspiration; you have hands-on experience deploying AI-assisted engineering workflows (capacity matching, automated defect classification, PR review, agentic tooling) and a track record of pulling engineering organizations forward on AI adoption
- Proven track record scaling engineering organizations of 50+ engineers and delivering complex, enterprise-grade SaaS products in a B2B or B2B2C environment; health tech or enterprise healthcare SaaS experience strongly preferred
- Deep technical fluency in cloud-native architectures (GCP preferred), microservices, and full-stack development (Go, React, mobile) — you engage credibly with engineers on architectural trade-offs without losing your strategic altitude
- Exceptional executive presence with a demonstrated ability to build trust with C-suite stakeholders and enterprise customers; track record of owning high-stakes customer relationships at the account level, not just in QBRs
- Experience working within HIPAA, PIPEDA, or equivalent regulated data environments is required at this level — you understand the compliance obligations that come with handling PHI and have built engineering practices that treat security and data governance as foundational, not afterthought
- Demonstrated experience managing delivery partners, offshore teams, or hybrid internal/external engineering models; comfort holding external teams to the same quality bar as internal engineers
Team
Team size: 50. Structure: multiple Directors and Engineering Managers
