ConcertAI is looking to define the application of AI methods to data to unlock new value propositions across life sciences and practices by integrating LLM, NLP, and GenAI technologies into their healthcare solutions.
Requirements
- Minimum of 7 years of experience in product management, with experience launching one or more products (0-1), as well as incorporating AI technologies, such as LLM, NLP, and GenAI.
- Strong technical background and hands-on experience using and managing requirements for products incorporating AI/ML models, NLP techniques, and generative AI technologies.
- Understanding of NLP, LLMs at an expert product management level.
- Understanding of responsible AI - e.g., privacy/security, transparency, data drift.
- BS/MS/PhD and relative experience applying computational models in a healthcare ecosystem.
- Iterative mindset and natural understanding of agile development methods.
- Knowledge of real-world medical records, key concepts in oncology, and genomics preferred.
Responsibilities
- Develop and articulate a clear product vision and strategy for integrating LLM, NLP, and GenAI technologies into ConcertAI’s healthcare solutions.
- Create detailed roadmaps, prioritize rigorously, and communicate trade-offs internally, especially as relates to use of NLP, LLMs, and other mechanisms to abstract meaningful data from medical records.
- Provide technical leadership and guidance on the application of LLM, NLP, and GenAI technologies in healthcare.
- Collaborate with AI engineers, data scientists, and software engineers across the organization.
- Stay current with advancements in AI and related technologies, driving continuous innovation and improvement.
- Conduct market research to identify opportunities for new products and enhancements to existing solutions.
- Develop a comprehensive understanding of our solutions and markets to guide technical product development.
Other
- Required travel up to 20%
- Display strong verbal and written communication and presentation skills, articulating our track record and success strategy.
- Identify market trends, customer needs, and competitive landscape to inform product direction and innovation.
- Lead cross-functional teams, including engineering, data science, and design, to develop and deliver high-quality
- Engage with healthcare providers, researchers, and other stakeholders to understand their needs and gather feedback on product performance.
