Director of AI Product, HealthTech
Leading the strategic deployment of artificial intelligence to transform clinical outcomes and healthcare operations.
Overview
This career involves translating complex machine learning capabilities into functional healthcare applications such as diagnostic aids, predictive analytics, or administrative automation. The daily rhythm is characterized by high-level strategic planning and cross-functional coordination between data scientists, medical professionals, and regulatory experts. Success in this field requires navigating the tension between the iterative nature of AI development and the absolute necessity for clinical accuracy and evidence-based results.
Day-to-day operations involve assessing the feasibility of new AI models and ensuring that product designs meet the specific needs of clinicians and patients. Professionals in this role spend significant time analyzing clinical datasets and oversight of validation studies to prove technical efficacy. The role attracts individuals who possess a deep understanding of technical architecture and a commitment to solving systemic healthcare challenges through algorithmic precision and ethical data use.
Responsibilities
- Define the long-term vision and product roadmap for AI-driven healthcare solutions.
- Lead cross-functional teams of engineers, designers, and clinicians to build scalable medical software.
- Ensure all AI products comply with healthcare regulations such as HIPAA, GDPR, and FDA certifications.
- Collaborate with clinical researchers to design and execute validation studies for algorithmic accuracy.
- Identify and secure strategic partnerships for data acquisition and clinical pilot programs.
- Communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Monitor post-market performance of AI models to ensure continued safety and reliability in clinical settings.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
- Minimum of seven years of experience in product management, specifically within the healthcare or AI sectors.
- In-depth knowledge of healthcare regulatory frameworks and clinical data standards.
- Proven track record of launching machine learning models or high-scale data products.
- Demonstrated ability to lead multidisciplinary teams through the full product development lifecycle.
- Strong proficiency in statistical analysis and understanding of neural network architectures.
Nice to have
- Doctorate in a relevant field such as Bioinformatics, Medical Physics, or Artificial Intelligence.
- Experience navigating FDA de novo or 510(k) clearance processes for Software as a Medical Device.
- Previous experience working within a hospital system or a clinical research organization.
- Extensive professional network within the global HealthTech and venture capital ecosystem.
Work environment
- Standard professional office environment often supplemented by hybrid or remote work arrangements.
- Frequent collaboration with technical teams using tools like Jira, GitHub, and data visualization platforms.
- Occasional travel to clinical sites, medical conferences, and regulatory briefings.
- High-pressure environment driven by clinical deadlines and rigorous compliance audits.
Benefits & growth
- Compensation typically includes a high base salary, significant performance bonuses, and equity options.
- Career progression leads to executive leadership roles such as VP of Product or Chief Product Officer.
- Access to specialized professional development in ethical AI and healthcare leadership.
- Opportunity to influence global healthcare standards and patient treatment paradigms through technology.
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