The Implementation Success Partner will lead complex, enterprise-wide perioperative deployments, managing the full lifecycle from pre-sale collaboration to hypercare. They will serve as a strategic advisor to hospital executives and surgeons, driving adoption and maximizing value through data-driven insights and process improvements.
The Senior Data Engineer will lead the design, development, and management of data assets and pipelines to support healthcare products. They will collaborate with cross-functional teams to integrate new datasets and ensure high-quality, reliable data delivery for analytics and machine learning.
You will lead end-to-end product development for technical areas of the Periop solution by scoping opportunities and validating them through data analysis. You will also partner with cross-functional teams to design, build, and deploy scalable solutions using AI and healthcare data.
The Director of Implementation Success will lead a high-performing team to execute complex technical and clinical implementations within healthcare settings. They will collaborate with cross-functional stakeholders to define strategies that drive measurable ROI and ensure a seamless user experience.
The Director will lead and mentor a team of Client Success Partners to drive strategic account health, platform adoption, and measurable operational improvements for perioperative and patient care coordination clients. They will act as an executive escalation point and collaborate cross-functionally to ensure the successful delivery of AI-driven healthcare solutions.
The Senior Analytics Engineer will lead an analytics pod to define metrics, build analytical products, and ensure data rigor for product teams. They are responsible for scoping initiatives, managing tactical sprints, and maintaining high standards for data quality and documentation.
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 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.
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.
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.
