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OpenEvidence is a medical AI platform used by >65% of US clinicians. The company is a $12B organization with a 30-person engineering team composed of talent from MIT, Harvard, and Stanford. They are seeking a Member of Technical Staff to lead the design, build, and launch of OpenEvidence within health system environments.
In this role, you will serve as the technical and product lead for health system partners, shaping how OpenEvidence integrates into clinical workflows and determining the product roadmap based on clinician and partner feedback. You will own the full lifecycle from product ideation through ongoing support.
Key responsibilities include:
- Leading product and architectural decisions in ambiguous situations
- Building enterprise product capabilities and converting recurring needs into scalable tools and processes
- Maintaining high standards for security, privacy, and reliability expected by health system partners
- Writing and reviewing code, prototyping clinical workflows, and setting technical direction for launches
- Presenting plans to health system IT, security, and clinical leaders
- Collaborating across engineering, product, sales, support, legal, and partner teams
The company culture emphasizes end-to-end ownership, autonomous builders, and uncompromising excellence. Engineers are responsible for landing major product improvements without traditional product managers. The ideal candidate is described as brilliant, smart, ambitious, scrappy, autonomous, precise, motivated, and low-ego.
REQUIREMENTS:
- 3+ years of professional engineering experience; 5+ years preferred
- Strong engineering fundamentals with excellent product judgment, particularly around risk, reliability, and production changes
- Ability to understand complex systems and quickly identify root causes of problems
- Strong written and verbal communication skills for both enterprise audiences and non-technical clinical leaders
- Preferred: Experience with health systems, EHR integrations, clinical AI benchmarking, agentic workflows, and enterprise SaaS implementations
- Preferred location: In-person in San Francisco, Miami, or remote for exceptional candidates willing to travel frequently
