With an aging population, an overburdened radiology workforce, and over 30% of the world's data being generated in healthcare, the use of AI in clinical environments is gaining traction. State-of-the-art AI algorithms can automate up to 60% of diagnosis workflows, positively impacting patient outcomes. However, implementing AI in radiology is difficult due to the lack of powerful infrastructure and MLOps tooling.
We aim to solve this problem by creating the foundational layer of AI in radiology. This will enable any AI team to go from raw data to FDA-cleared AI. Our current focus is on developing advanced medical imaging annotation tools.
We are seeking to hire a Product Quality Manager responsible for validating the products functionality and working with the engineering team to constantly improve the user experience and product quality.
Who you are:
This position is a great bridge from someone in product management who wants to move more towards engineering, or someone working in quality assurance who wants to move towards product management.
Core Responsibilities:
- Manual testing of the application for defects and areas for user experience improvement.
- Documenting defects and following up to ensure swift resolution.
- Investigating and reproducing user reported bugs and issues.
- Collaborate between design, engineering, and product management functions to improve the product.
- Work to improve product user documentation for accuracy, completeness, and usefulness.