As a Technical Program Manager for Health & Wellness, you will drive end-to-end program execution across a portfolio of health features shipping on Meta's wearable platforms. You will own the execution strategy for programs spanning algorithm development, sensor integration, clinical validation, and product delivery - coordinating across hardware, software, research, regulatory, and product teams to hit hardware-gated milestones. You will be responsible for schedule management, cross-team dependency resolution, risk mitigation, and ensuring launch readiness across multiple simultaneous programs. We look for Technical Program Managers who have a demonstrated technical foundation in health/biomedical sensing or consumer hardware, have experience defining and driving execution strategies for complex programs, experienced in building cross-functional alignment across engineering, product, and partner teams, and experienced in establishing the appropriate level of process to ensure smooth and predictable program execution in a fast-paced, hardware-constrained environment.
Responsibilities
Drive the investigation, definition, and delivery of health and wellness programs across Meta's wearable device portfolio
• Create development and delivery strategies and schedules aligned to hardware integration windows, clinical validation requirements, and product launch timelines
• Manage communication within and between engineering, research, clinical/regulatory, and product teams across multiple organizations
• Own end-to-end schedule and milestone tracking across concurrent programs, identifying and escalating risks before they become irreversible
• Drive cross-team dependency resolution spanning algorithms, platforms, sensors, firmware, data infrastructure, and product
• Coordinate large-scale data collection efforts required for algorithm development and clinical validation
• Manage programs through NPI/NTI gate processes from early concept through to regulatory clearance and product launch
• Ensure program documents are complete, current, and available for staff and leadership review
• Establish repeatable execution frameworks and process architectures that uplift how the broader organization's programs
• Contribute to resource planning to ensure the program's success
• Up to 25% travel domestically and internationally based on program needs
Minimum Qualifications
• B.S. in Engineering, Biomedical Engineering, Computer Science, or a related field, or equivalent experience
• 12+ years experience as a Program Manager managing hardware/software programs in health technology, consumer electronics, or medical devices
• Experience with NPI/NTI program management and hardware-gated milestone planning
• Experience coordinating cross-functional programs spanning hardware, software, algorithms, and regulatory/clinical teams
• Knowledge of program issue/bug tracking and risk management
• Experience communicating program status, risks, and technical trade-offs to engineering teams and leadership stakeholders
• Problem-solving and organizational experience
• Experience building relationships and collaborating across 4+ organizations simultaneously
Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience managing programs with sensor, silicon, or firmware integration dependencies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Background in health sensing, biomedical engineering, wearable technology, or digital health
• Experience with data collection programs for algorithm training and validation
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with clinical validation processes, regulatory submissions (e.g., FDA), or health-related compliance frameworks
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
