As VP of Customer Success, lead a team to drive customer satisfaction and retention, design systems for onboarding and efficiency, and cultivate relationships with healthcare organizations.

You will develop and maintain a conversation layer for AI, crafting prompts to enable autonomous healthcare conversations, collaborating with cross-functional teams to enhance patient experience.

As an Applied Machine Learning Engineer you'll design evaluation systems for healthcare AI agents, ensuring model quality through analysis and collaboration with cross-functional teams.

As an AI Engineer - Evaluations, you'll build systems that measure and improve the intelligence and safety of voice-based AI healthcare agents, collaborating across teams to enhance model performance.

The Technical Program Manager will drive the production of AI research into clinically safe products, leading cross-functional programs and defining program plans across multiple markets.

The AI Engineer will design and build voice-based generative AI systems in healthcare, collaborate with teams, and ensure clinical safety.

The Director of Life Sciences Product Marketing leads vertical strategy for Healthcare Generative AI agents, focusing on messaging, compliance, and demand generation in the life sciences sector.

The AI Integration Engineer will connect healthcare data systems with AI platforms, focusing on data transformations using Python and interoperability standards like HL7 and FHIR, while coordinating with offshore teams and improving integration performance.

Develop scalable backend systems for AI applications in healthcare, collaborating on data pipelines, APIs, and ML workflows while optimizing performance.

Lead the customer success function, manage strategic payer relationships, mentor a team, drive successful outcomes, and support product evolution within healthcare payors.

Manage global telephony infrastructure, ensuring reliable communication for AI agents. Oversee call systems, vendor integration, compliance, and reporting tools.

As a Lead Fullstack Engineer, you will build scalable B2B SaaS products, collaborate with cross-functional teams, and ensure high-quality code delivery.

As a Lead Frontend Engineer, you'll architect and develop scalable B2B SaaS frontends, collaborating with cross-functional teams to create user-focused experiences in AI-powered healthcare.

As a Senior Backend Engineer, you will develop scalable backend systems for AI applications, collaborate on data pipelines, and ensure data security in healthcare solutions.

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.

Responsible for leading Customer Success team, managing executive-level client relationships, ensuring successful implementation and adoption of solutions, and driving measurable impact across health systems.

As a Front Desk Receptionist, you will greet and assist visitors, manage sign-in procedures, organize office space, handle mail, and support meeting logistics.

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 Life Sciences Platform Lead will engage with pharma executives, define market needs, guide solution development, and support deployment in life sciences.

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.