Digital Optometry Product Lead (f/m/x) @ Carl Zeiss Extended Reality (XRX)

Understand limitations and barriers and lead mitigation

Drive product development and user validation

Serve as interface between optometry experts, engineers and business units

Oversee regulatory compliance and quality assurance

Educate internal stakeholders and customers about product features and benefits

Analyze user and data to guide product improvements

Monitor global remote ophthalmology trends and seek to integrate solutions

Collaborate closely with business stakeholders to ensure product viability, desirability and seamless integration

Experience in digital product management and development

Project management and cross-functional leadership capabilities

Data driven decision-making with a focus on user experience and innovation

Knowledge of regulatory and data privacy frameworks in vision care

Optometry / clinical vision science: Deep understanding of eye anatomy, refraction, centration principals and clinical standards as well as practical experience as optometrist or optician.

Technical product development: Experience collaborating with software engineers and hardware designers to translate clinical requirements into digital solutions. Ability to assess measurement techniques and their limitations.

Business & Strategic Acumen: Capacity to evaluate commercial viability, align product specifications with D2C market demands.

Project Management: Skilled in leading cross-functional projects, including managing timelines, budgets, risks, and stakeholder communication.

Regulatory/Quality Awareness: Ability to understand optical device safety, privacy, data protection requirements and regulatory standards.

Communication: Effectively communicate clinical and technical concepts across diverse teams and stakeholders

Consumer Experience Focus: Understanding best practices for online customer education, self-testing UI/UX, and post-purchase support

Innovation Mindset: Proactivity in identifying new measurement methodologies and scouting global trends in remote ophthalmology.

Data Analytics: Know-how in analyzing and interpreting measurement accuracy, system performance, and user data to improve online testing algorithms

Accountability and ownership: High degree of accountability and ownership – able to own topics end-to-end, make decisions within scope, and deliver results independently in a dynamic environment