Drive outcome-based execution, making decisive trade-offs on scope, sequencing, and approach
Operate as a true peer to Product, Design, and Clinical, co-owning commitments and priorities
Ship production-grade AI systems with speed, reliability, and clinical trust
Maintain operational readiness, quality, and production stability
Lead and develop high-performing engineers, setting a high bar for pace and ownership
Address underperformance early and build a culture of accountability and urgency
Requirements
Proven experience leading engineering delivery in a high-growth or high-complexity environment
Strong track record shipping production AI or data-intensive systems
Experience running multiple streams of work without losing clarity or momentum
Ability to make trade-offs quickly and decisively
High ownership mindset with a bias toward action
Comfort operating in ambiguity while maintaining execution discipline
Strong people leadership skills with a track record of building high-performing teams
Experience in healthcare or clinical software is advantageous, including familiarity with clinical workflows, safety expectations, and compliance requirements