Required Qualifications ▸ 12+ years of progressive software engineering experience, with at least 3 years managing multiple teams simultaneously. ▸ Demonstrated track record of shipping complex, distributed systems in a fast-paced product environment. ▸ Hands-on or deep architectural exposure to AI/ML systems and/or Agentic AI frameworks (LangChain, AutoGen, CrewAI, or equivalent). ▸ Experience with data analytics platforms, data warehousing, and BI tooling (e.g., dbt, Snowflake, Spark, Databricks, Looker, or similar). ▸ Strong proficiency in at least one major cloud provider (AWS, Azure, or GCP) and familiarity with DevOps/MLOps practices — CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure-as-code (Terraform or equivalent). ▸ Excellent communication skills — able to influence at all levels from IC engineers to C-suite executives. ▸ Experience leading through ambiguity, organizational change, and rapid growth. Preferred Qualifications ▸ Experience in Healthcare IT, Digital Health, or Life Sciences — including familiarity with HIPAA, HITECH, and interoperability standards (HL7, FHIR, SMART on FHIR). ▸ Background in systems integration — EHR/EMR integrations, API gateways, EDI, or enterprise middleware (e.g., MuleSoft, Azure API Management, AWS API Gateway). ▸ Experience building or scaling AI-driven clinical decision support, NLP pipelines, or predictive analytics products. ▸ Exposure to regulatory compliance frameworks relevant to healthcare software (FDA SaMD, SOC 2,ISO 27001). ▸ An engineering background (BS/MS in CS, CE, or related field preferred, but not required with equivalent experience)