Director, Engineering (Interventions)
About the role
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.
Responsibilities
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.
Requirements
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.
Qualifications
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 planning, and managing technical debt in a fast-paced product environment.
Exceptional stakeholder management skills, with the ability to translate complex technical constraints into clear, actionable business strategies for non-technical leadership.
Skills
Strategic thinking and problem-solving skills.
Leadership and team management skills.
Technical expertise in healthcare data, clinical interoperability, and ML-driven healthcare products.
Experience with AI-assisted development workflows.
Benefits
Benefits Overview:
Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, and regular compensation reviews.
Physical Well-Being: Comprehensive group medical coverage including hospitalization, outpatient care, optical services, and dental benefits.
Mental Well-Being: Initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy.
Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Pay
A reasonable estimate of the base salary range for this role is: $223,100 - $290,000 USD
Schedule
Remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.