Techcyte

Product Manager

• Own product strategy and roadmap execution for feature development and AI model improvements across one or more on-market products
• Partner closely with machine learning engineers, data teams, and clinical advisors to guide model development, validation, and deployment including: Defining training objectives and success metrics. Understanding and guiding tradeoffs based on model performance data (precision/recall, etc.). Prioritizing improvements based on clinical impact and customer value.
• Spreadsheet analysis and modeling
• Development and maintenance of scripts that shape the AI model results into actionable product results
• Partner closely with user experience designers and workflow engineers to translate complex clinical and technical requirements into intuitive, efficient end-to-end user workflows
• Gather and develop materials for the transfer of information to sales, support, and integration teams
• Own relationships with development partners to drive product initiatives by gathering key inputs from partners and being responsive to partner requests
• Evaluate product performance using customer feedback, deployment experience, product metrics, and support trends
• Support validation and regulatory efforts by contributing to study design, performance documentation, intended-use definitions, and partner-facing materials
• Maintain ISO-compliant product development documentation