Develop and implement machine learning and LLM solutions to improve healthcare outcomes and operational efficiency. Collaborate with cross-functional teams to build, deploy, and maintain scalable models while ensuring rigorous performance evaluation.
You will build, refine, and maintain scalable machine learning and statistical models, including NLP and LLM systems. Additionally, you will collaborate with cross-functional teams to translate data insights into deployed products that improve healthcare outcomes.
The Senior Technical Implementation Partner will manage enterprise-wide software deployments, focusing on the Inpatient Capacity solution. They will collaborate with cross-functional teams and hospital stakeholders to ensure successful project lifecycles, tool adoption, and measurable business outcomes.
Develop and execute territory sales plans, build relationships with health system executives, and manage opportunities from initial contact through deal closure while meeting sales targets. Demonstrate Qventus solutions, maintain accurate Salesforce activity and forecasts, and collaborate with leadership, sales, and marketing to improve positioning, pricing, and sales processes.
Lead the analytics product program across solutions, managing solution analytics leads and ensuring analytics products are coherent, high-quality, maintainable, and delivered on time. Establish standards and delivery processes, coordinate work across teams, shape BI and semantic foundations for self-service and AI-enabled analytics, and contribute hands-on when needed.
Lead cross-functional teams of engineers, data scientists, and clinical experts to define and launch innovative healthcare products. Engage with users and stakeholders to identify critical problems and manage the product roadmap from discovery through execution.
Lead a forward-deployed team to design, execute, and optimize bespoke AI-powered operational workflows at client healthcare sites. Collaborate with cross-functional teams to integrate LLM-based agents with enterprise systems while ensuring performance through rigorous testing and monitoring.
You will lead the design, development, and management of data assets and pipelines while spearheading the integration of new datasets. Additionally, you will collaborate with cross-functional partners to translate functional needs into reliable, high-quality data products.
The Product Operations Lead will manage the software development lifecycle, facilitate company-wide roadmapping, and drive cross-functional operational efficiency. They will also track key performance metrics and support leadership in strategic initiatives and board preparations.
The Implementation Engineer will lead the end-to-end delivery of healthcare solutions by managing data transformations, building custom EHR integrations, and configuring AI-powered workflows. They will serve as the primary technical expert, collaborating with hospital stakeholders and internal R&D teams to ensure high-quality data pipelines and system performance.
The Senior Client Success Partner manages the end-to-end customer engagement from kickoff to go-live and ongoing success. They are responsible for driving platform adoption, establishing business outcomes, and identifying expansion opportunities within assigned healthcare accounts.
Own the strategy, roadmap, and development of the application platform, focusing on low-code/no-code and rapid development capabilities. Lead the evolution toward a Platform-as-a-Service (PaaS) offering and manage the workflow, orchestration, and UI layers.
Build and deploy AI-powered tools and agents to automate manual workflows across internal operations, finance, and customer success teams. Partner with executive leadership to identify high-leverage operational problems and define the company's internal AI strategy.
The Business Development Manager is responsible for creating early-stage pipeline and advancing opportunities from qualification to evaluation within enterprise provider accounts. This involves executing omnichannel outbound strategies and partnering with AVPs to drive early traction and discovery insights.
