Associate Technical Product Manager (AI), Remote
Aledade- Full Time
- Entry Level & New Grad
Candidates should possess strong proficiency in a database/data warehouse querying language such as SQL or Snowflake, along with comfort in reading code and familiarity with standard coding concepts across languages. Experience working with healthcare data and the ability to scope data requirements for new solutions, particularly with healthcare interface engines like Rhapsody/mirth or FHIR endpoints, is highly valued. Familiarity with generative AI and machine learning concepts is also required.
The Technical Product Architect will work with cross-functional Solution Teams to assess, design, and develop new solutions for customers, scoping data requirements and integration options like FHIR and HL7. They will build new solutions through iterative prototyping, generate data analyses on product experiments to improve customer engagement, and provide technical leadership for the full product lifecycle, including writing product requirements and PRDs. Additionally, the architect will package solutions for scalable deployment and contribute to the overall innovation and development of Qventus’s platform.
Automates healthcare operations using AI technology
Qventus provides a platform that uses artificial intelligence and machine learning to improve healthcare operations. The platform integrates data from Electronic Health Records and market sources to automate various care processes. By optimizing resource utilization and increasing visibility within healthcare facilities, Qventus helps reduce patient stays and enhances the quality of care. It also aims to alleviate staff burnout by minimizing cognitive load, allowing healthcare workers to spend more time with patients. Unlike many competitors, Qventus focuses on strategic partnerships and has demonstrated significant financial benefits for its clients, with some reporting over $10 million in annual savings. The goal of Qventus is to transform healthcare operations, making them more efficient and effective for both providers and patients.