Product Lead, Scheduling Tool

About the role

The Product Lead, Scheduling Tool is accountable for the strategy, design and delivery of a donor appointment scheduling platform that lets plasma donors book, manage and reschedule donations across a network of centers. The role balances donor convenience, center operations efficiency and capacity optimization, partnering with engineering, operations, digital experience teams and external vendors. It is measured on outcomes such as no-show rate, appointment adherence, donor retention, center utilization and booking conversion.

Key responsibilities

• Define the vision, strategy and roadmap of the scheduling tool, including AI-enabled options such as no-show prediction, personalized reminders and demand forecasting
• Own the product backlog, write user stories with hypotheses and success measures, and run test-and-learn cycles
• Work with engineering leads and Scrum teams on sprint planning and delivery
• Engage regularly with center operations, frontline staff and donors through interviews, surveys and usability testing
• Define integration requirements with the donor app, donor management platforms, CRM and center systems, and position scheduling data as a shared asset
• Monitor KPIs and run A/B tests and structured experiments to improve scheduling flows and notifications

Required profile

• Bachelor's degree in Business, Information Systems, Operations Management or a related field; Master's preferred
• 5+ years of product management experience, including scheduling, booking or appointment platforms in a regulated environment
• Comfort working in a regulated donor context and building knowledge of donor data privacy and consent
• Experience shipping AI or ML features, and familiarity with capacity planning or workforce management

Required skills

• Agile/Scrum backlog ownership and delivery
• UX principles and ability to advocate for simple, frictionless scheduling experiences
• Analytics tools such as Google Analytics or Amplitude
• A/B testing, holdout groups and guardrail metrics
• Data literacy at product-owner level