Lead pharmacovigilance operations, develop safety strategies, and ensure compliance with regulations for a diverse product portfolio. Build and mentor teams while driving innovation in safety methodologies.

As a Fullstack Engineer, you'll design and develop AI-powered healthcare solutions, collaborating with cross-functional teams and ensuring optimal user experiences.

Manage the deployment and adoption of AI technology in health systems, ensuring tailored solutions for local and U.S. markets. Engage stakeholders, lead implementations, and monitor outcomes to optimize workflows.

As a Product Manager for AI Agents, you'll define and optimize intelligent healthcare agents, collaborating with technical and clinical teams to enhance performance and safety.

The Senior Technical Recruiter will source and attract candidates for Software Engineering, Machine Learning, and Large Language Models roles, managing pipelines and engaging with talent effectively.

Manage global telephony infrastructure for AI agents, ensuring reliability and compliance with regulations, while integrating and monitoring vendor performance.

The Office Manager oversees daily operations, manages office supplies, leads office expansion, drives company culture initiatives, and supports onboarding logistics.

Design and implement automation for infrastructure, manage deployment pipelines, ensure security, and mentor junior engineers for a healthcare AI platform.

The Customer Success Executive will manage client relationships, lead product implementations, train healthcare staff, and foster AI adoption in nursing operations.

Design and refine user-centric conversational flows for healthcare AI applications, collaborating with clinicians and engineers to promote safety and empathy in interactions.

The Lead BI Analyst will analyze customer operational data, own BI tools, create reports and dashboards, and collaborate with GTM teams to provide actionable insights.

The Senior Business Data Analyst will drive data-informed decisions through operational reporting, performance analysis, and collaboration with cross-functional teams to optimize healthcare-focused LLM solutions.

As a Fullstack Engineer, you will develop AI-powered healthcare products, collaborating across teams to create secure and scalable solutions.

The Customer Success Executive will leverage nursing expertise to build client relationships, lead product implementations, and ensure effective use of AI solutions in healthcare settings.

The LLM Inference Engineer will optimize large language model infrastructure and implement serving architectures, quantization techniques, and latency optimizations. Responsibilities include designing disaggregated serving solutions, benchmarking system performance, and guaranteeing efficient, scalable LLM systems in production.

Lead the development of machine learning pipelines and systems for Large Language Models in healthcare, ensuring compliance and optimizing performance.

The Customer Success Executive will ensure client success with AI solutions, build relationships, provide training, and improve healthcare outcomes through technology.

The Senior Site Reliability Engineer will design and implement infrastructure automation, CI/CD pipelines, and monitoring for a healthcare AI platform while ensuring reliability and security.

You will build and optimize backend infrastructure for healthcare AI applications, ensuring efficient data processing, security, and collaboration with teams.

The Staff Applied Scientist will develop and enhance LLMs for healthcare, focusing on safety and efficiency, collaborating with top scientists.