Director, Engineering (Interventions)

Director, Engineering (Interventions)

We are transforming healthcare and improving patient care with our innovative primary care platform. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

We're looking for a Director of Engineering to lead our Interventions pillar, the technical engine driving our focus to identify conditions and initiate treatment earlier. You will own the technical strategy and execution for the Interventions roadmap—encompassing early diagnosis, longitudinal care management, preventative screening, and member treatment—serving as a critical leader and partner to the VP of Engineering and cross-functional leaders in Product, Data Science, Design and Clinical Operations.

As an Director of Engineering, you will:

• Own the Interventions technical roadmap, driving the strategy for improved clinical data accuracy and the effective closure of clinical care gaps.
• Lead the diagnostic precision strategy by optimizing assessment surfacing, implementing member-specific modeling, and advancing the extraction of high-quality evidence from clinical data sources.
• Oversee the scaling of Interventions systems to accommodate a rapidly growing member base, including the core data infrastructure overhaul and ensuring ML pipeline stability through decoupling and improved QA environments.
• Manage cross-functional partnerships with Clinical Operations, Product, and cross-functional teams’ leadership to ensure technical investments remove clinical bottlenecks and improve plan performance.
• Drive the adoption of an AI-powered Software Development Life Cycle (SDLC), leveraging AI tools to accelerate coding, testing, and deployment processes while maintaining stringent code quality and security standards.

Success in this role looks like:

• Successfully achieving clinical performance goals through optimized task engagement and improved diagnostic model precision.
• Improved clinical care gap closure rates through high-accuracy supplemental data pipelines and cross-functional clinical initiatives.
• Scaled the product’s impact on member treatment, demonstrating measurable influence on treatment adherence and cost of care.
• Interventions infrastructure is robust and stable, maintaining high velocity during major data service migrations and regional expansion.

You should get in touch if:

• You have 12+ years of engineering (IC + leadership), with a focus on healthcare data, clinical interoperability, or ML-driven healthcare products.
• You have deep familiarity with clinical data structures (e.g., ICD-10) and best practices for building high-integrity clinical data pipelines.
• You have proven experience leading cross-functional teams of engineers, data scientists, and clinical operators to deliver complex software in regulated environments.
• You have experience managing ML model lifecycles and deploying LLM-driven features to improve product accuracy and engagement.
• You have experience implementing and scaling AI-assisted development workflows (e.g., AI code assistants, automated testing, or AI-driven CI/CD) to improve engineering productivity.

Engineering Leadership Skills:

• Proven track record of mentoring and developing engineering managers and senior individual contributors.
• Demonstrated ability to cultivate a high-performance engineering culture focused on velocity, quality, and psychological safety.
• Experience leading organizational change, including structural re-orgs and process evolution.
• Strong proficiency in strategic resource allocation, capacity