Jobs at OpenEvidence

Lead strategic partnerships with health systems, provider ecosystems, and other strategic partners from initial engagement through implementation, expansion, and ongoing success. Manage procurement, security reviews, legal negotiations, and compliance alongside Legal and Compliance teams. Collaborate with Engineering and Data teams on clinical workflow integrations, while driving provider adoption, measurable outcomes, executive relationships, and partnership growth.

Design, harden, and operate cloud infrastructure for a medical AI platform. Own security posture, compliance, and resilience of production systems; improve security observability and implement defense-in-depth controls across services and data platforms handling sensitive medical information.

Build and own end-to-end data platform systems that power clinical workflows, focusing on performance, scalability, and accuracy. Work across products and projects with full ownership of infrastructure supporting real-time clinical decision-making. Collaborate within a small, high-performance engineering team.

Build and harden mission-critical infrastructure for a medical AI platform. Improve reliability, performance, and efficiency through SRE practices: observability, SLOs, automation to reduce toil, and robust on-call and incident response processes. Own cross-product infrastructure work and deliver production-grade outcomes.

Build end-to-end Applied AI systems that leverage modern models as components, work across products and projects, take full ownership from 0->1 and scale 1->1000, and deliver medical AI products used by clinicians. Contribute as an autonomous, high-impact engineer in a small, fast-moving team and collaborate to shape a platform for medical AI.

Design and build production-quality medical AI systems, own end-to-end problems, prioritize rigorous evaluation and quantitative proof, collaborate across products, and deliver high-impact, deployed outcomes in a fast-paced, hands-on engineering culture.