HealthLeap Inc.

United States
20 Total Employees
Year Founded: 2022

Jobs at HealthLeap Inc.

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5 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software
Lead account-based and content marketing for target health-system accounts. Own account intelligence, ABM programs, digital engagement, customer proof, sales enablement, PR, and marketing operations to accelerate opportunities and arm internal champions.
20 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software
Build and maintain HealthLeap's clinician-facing dashboard and backend services. Own features end-to-end, handle messy clinical data and explainability, implement feature flags and auth at scale, and ship production systems deployed in major hospitals.
20 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software
Build and operate scalable AI infrastructure for hospital deployments: set up networking and VPNs, manage AWS multi-account infrastructure (ECS/EKS, Terraform), build data pipelines (S3, Iceberg, Spark, Dagster, Airflow), productionize ML models, and implement observability to ensure reliable daily risk-ranking for clinicians.
20 Days AgoSaved
Remote
United States
Artificial Intelligence • Healthtech • Machine Learning • Software
Lead regional enterprise sales to hospitals and health systems: generate introductions, manage complex consultative deals through pipeline to close, negotiate contracts, transition clients to implementation, and support expansion and upsells while maintaining daily CRM hygiene (Salesforce).
20 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Healthtech • Machine Learning • Software
Build and maintain backend systems processing millions of patient records daily to produce real-time risk scores. Develop data pipelines, feature engineering for ML, LLM-based clinical note parsing, and operate AWS/Kubernetes infrastructure with high concurrency, reliability, and uptime for hospital deployments.