Das ist der Job
Model and amplify AI-assisted development across the org, embedding those practices into standard workflow.
Darum lohnt es sich
Conduct regular 1:1s with team leads and engineers to track performance, surface blockers, and maintain alignment with engineering direction. Set and own the operational rhythm of the engineering organization: release cadence, cross-team coordination, and department-level planning cycles.
Monitor KPIs at the department and individual level; hold teams accountable to delivery commitments. Drive quality standards across every team in the R&D organization, improving consistency and coverage without halting feature delivery.
Anticipate and communicate engineering org needs to the CTO: forecast hiring demand, identify leveling gaps, surface onboarding friction, and flag cultural drift early. Collaborate closely with the Principal Engineer, Enterprise Architect, and Principal Data Architect to ensure technical direction translates into execution.
Set the standard for CI/CD pipelines supporting parallel release streams; define quality benchmarks that enable active development alongside production validation. Establish and automate CVE detection and remediation workflows, maintaining continuous security posture under HiTrust R2 and SOC 2.
Requirements Proven track record leading engineering organizations, ideally in a healthcare or similarly regulated software environment. Daily, demonstrated use of AI-assisted development tools – this is a hard requirement, not a preference.
