Job Description
AI/ML Healthcare Product Manager drives the strategy and development of artificial intelligence solutions designed to solve clinical and operational challenges in the healthcare industry. This role requires a unique blend of product management expertise technical understanding of AI/ML and a deep understanding of healthcare workflows and compliance
Skills and Qualifications
- 8 years Proven experience in product management with significant time spent on data-centric or AI/ML products.
- Domain knowledge or experience within the healthcare health tech or insurance industries.
- Track record of successfully launching production-grade AI solutions
- Familiarity with MLOps (Machine Learning Operations) pipelines and cloud platforms (e.g. AWS GCP Azure).
- Data literacy including working with SQL or Python for analysis and evaluation pipelines.
- Exceptional communication and storytelling skills to translate complex technical concepts into business value for non-technical stakeholders.
- Strong analytical problem-solving and decision-making abilities.
Job Description AI/ML Healthcare Product Manager drives the strategy and development of artificial intelligence solutions designed to solve clinical and operational challenges in the healthcare industry. This role requires a unique blend of product management expertise technical understanding of AI/...
Job Description
AI/ML Healthcare Product Manager drives the strategy and development of artificial intelligence solutions designed to solve clinical and operational challenges in the healthcare industry. This role requires a unique blend of product management expertise technical understanding of AI/ML and a deep understanding of healthcare workflows and compliance
Skills and Qualifications
- 8 years Proven experience in product management with significant time spent on data-centric or AI/ML products.
- Domain knowledge or experience within the healthcare health tech or insurance industries.
- Track record of successfully launching production-grade AI solutions
- Familiarity with MLOps (Machine Learning Operations) pipelines and cloud platforms (e.g. AWS GCP Azure).
- Data literacy including working with SQL or Python for analysis and evaluation pipelines.
- Exceptional communication and storytelling skills to translate complex technical concepts into business value for non-technical stakeholders.
- Strong analytical problem-solving and decision-making abilities.
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