Technical Product Manager, NLP/Gen-AI

ConcertAI is at the forefront of revolutionizing healthcare with our cutting-edge AI and data solutions. Our mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. As a leader in real-world evidence (RWE) and data-driven technology, ConcertAI partners with top pharmaceutical companies, healthcare providers, and research institutions to enhance patient outcomes and streamline clinical research. By leveraging evidence-generation and artificial intelligence, we deliver unparalleled insights into treatment effectiveness, patient care, and disease progression to advance precision medicine and medical innovation.

Joining ConcertAI means becoming part of a visionary team dedicated to transforming the healthcare landscape. You’ll have the opportunity to work on innovative projects that directly impact patient lives, collaborate with some of the brightest minds in the industry, and be at the cutting edge of technological advancements in healthcare. ConcertAI offers a dynamic and inclusive work environment, competitive benefits, and ample opportunities for personal and professional growth. If you’re passionate about making a difference in healthcare and excited by the prospect of working with advanced AI and data solutions, ConcertAI is the perfect place for you to thrive and make a lasting impact.

Additionally, through CancerLinQ, a health technology platform originally developed by ASCO and now an initiative of ConcertAI, we aim to deliver tools and services to a diverse network of oncology practices and cancer centers to improve the quality of cancer care and advance discovery.

Role Summary

We are seeking a highly skilled and experienced Technical Product Leader to join our dynamic team in Cambridge, MA or Plymouth Meeting, PA. As a senior member of the technical product team, you will be responsible for defining application of AI methods to data as a way unlock new value propositions across life sciences and practices.

Responsibilities:

• Develop a comprehensive understanding of our solutions and markets to guide technical product development.
• 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.
• 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 AI-driven products.
• 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.
• Engage with healthcare providers, researchers, and other stakeholders to understand their needs and gather feedback on product performance.
• Communicate product vision, strategy, and updates to internal and external stakeholders, ensuring transparency and alignment.
• 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.
• Required travel up to 20%

Requirements:

• BS/MS/PhD and relative experience applying computational models in a healthcare ecosystem.
• Minimum of 7 years of experience in product management, with a focus on AI technologies, including LLM, NLP, and GenAI.
• Strong technical background and hands-on experience with AI/ML models, NLP techniques, and generative AI technologies.
• Understanding of NLP, LLMs at an expert level.
• Knowledge of medical records, key concepts in oncology, and genomics.
• Understanding of responsible AI – e.g., privacy/security, transparency, data drift.
• Market understanding of data applications in life sciences is a strong plus.
• Engineering mindset and natural understanding of agile development methods.
• Display strong verbal and written communication and presentation skills, articulating our track record and success strategy.