EDUCATION

Bachelor’s degree or Master’s degree in Computer Science, Engineering, Business Administration, or a related field or relevant business experience

EXPERIENCE

Typically requires 10 years of progressive leadership experience in healthcare product development, including 5–10 years leading startup or early-stage product teams.

KNOWLEDGE / SKILLS / ABILITIES

• Proven experience in AI product development and management, with a strong track record of successfully launching AI-based products.
• Deep understanding of AI technologies, machine learning algorithms, and data science principles.
• Strong strategic thinking and business acumen, with the ability to align AI product development with overall business goals.
• Excellent leadership and team management skills, with the ability to inspire and motivate a diverse team of professionals.
• Exceptional communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Experience in conducting market research and competitive analysis to inform product development decisions.
• Strong problem-solving and analytical skills, with a focus on delivering innovative and practical AI solutions.
• Ability to navigate and thrive in a fast-paced, dynamic environment with changing priorities and deadlines.
• Proven track record of overseeing end-to-end software development lifecycles, from ideation through deployment and iteration.
• Deep expertise in application development, data engineering, and artificial intelligence, with the ability to translate technical capabilities into scalable healthcare solutions.
• Demonstrated success in building and executing product roadmaps that align with strategic goals and deliver measurable outcomes.
• Commitment to innovation, equity, and patient-centered care.

EDUCATION

Ph.D. is a plus
This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties.

• Develop and implement a comprehensive AI product strategy that aligns with the company’s business objectives and market opportunities.
• Provide visionary leadership to the AI product development team, fostering a culture of innovation, collaboration, and excellence.
• Identify and evaluate emerging AI technologies and trends to ensure the company remains at the forefront of AI innovation.
• Collaborate with senior executives and stakeholders to define product goals, priorities, and success metrics.
• Oversee the end-to-end development process of AI products, from conceptualization to launch, ensuring timely and high-quality delivery.
• Work closely with cross-functional teams, including engineering, design, data science, and marketing, to create products that meet customer needs and drive business growth.
• Ensure that all AI products adhere to ethical standards, regulatory requirements, and best practices.
• Lead the development of scalable AI solutions that can be integrated into various business environments and provide tangible value to customers.
• Oversee the design and development of digital solutions that automate primary care functions, enabling 24x7 access to care and reducing clinician burden.
• Build and manage a high-performing AI product development team, providing mentorship, guidance, and professional development opportunities.
• Foster a collaborative and inclusive team culture that encourages innovation and continuous improvement.
• Set clear performance expectations and conduct regular performance reviews to ensure team members meet their goals and objectives.
• Conduct thorough market research and competitive analysis to identify opportunities and challenges in the AI product landscape.
• Engage with customers and industry experts to gather feedback, understand pain points, and translate insights into actionable product features.
• Develop go-to-market strategies and work with sales and marketing teams to ensure successful product launches and customer adoption.
• Champion solutions that improve health outcomes, wellness, and satisfaction while lowering overall costs.
• Lead cross-functional teams in application and product development, ensuring timely delivery, scalability, and clinical relevance.
• Develop tools that address clinician and physician shortages by enhancing productivity and efficiency through intelligent automation.