Role overview
Set technology direction and lead engineering execution for a platform that provides peer support and resource navigation, handling sensitive mental health information. The role leads a team of 8 or more across product engineering, AI/ML, and infrastructure, while working with cross-functional partners to support enterprise, health plan, and consumer growth. It also represents engineering and security directly in customer and partner discussions.
Responsibilities
- Own engineering strategy and delivery across the platform, AI/ML systems, and infrastructure.
- Lead and develop an engineering team of 8 or more, establishing strong security, compliance, reliability, and responsible AI practices.
- Partner with clinical, security, customer success, and business leaders on platform evolution and deployments.
- Lead customer-facing technical reviews, architecture discussions, and security and compliance conversations during sales and renewals.
- Guide development of more advanced language-model experiences and real-time support capabilities.
- Manage cloud architecture, costs, observability, and infrastructure practices across engineering.
Requirements
- Hands-on engineering leadership with strong technical credibility and a builder's approach.
- Experience with security-sensitive systems and healthcare compliance, including HIPAA, SOC 2, and FedRAMP; the source identifies these frameworks but does not specify a required level of experience.
- Strong knowledge of distributed systems, real-time messaging, API design, data modeling, and websockets.
- Experience with cloud infrastructure at scale, Kubernetes, infrastructure as code, CI/CD, and production observability.
- Fluency in Python and modern backend technologies.
- Bachelor's degree in computer science or a related technical field; an advanced degree is preferred.
- Ability to work with customers and cross-functional teams on technical and security topics.
Nice to have
- Experience integrating with government programs or agencies.
- Publications, open-source work, or patents in AI/ML, security, or health technology.
Benefits and work setup
- Fully remote within US time zones.
- Target base salary of $205,000-$225,000 and meaningful equity.
- Health, vision, and dental benefits; full-time US-based employees also receive a vested 401(k) match.
- Generous paid time off, company-wide breaks, and in-person team gatherings.