HP
Senior Manager, Global Product Returns and Remarketing
$122K–$180K
Spring, Texas, United States of America +1 · Manager · Full-time · Posted Sep 10, 2026
- Location
- Spring, Texas, United States of America
Tlaquepaque, Jalisco, Mexico - Experience
- Typically 10+ years of job-related experience or 8-10 years of management experience; preferably in supply chain, operations, or a related field.
- Education
- Four-year or Graduate Degree in Supply Chain Management, Manufacturing Engineering, Operations management, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
About the job
Leads HP’s global strategy and execution for product returns, disposition, remarketing, and value recovery across returned, excess, and end-of-life products.
What you'll do
- Lead returns and remarketing across forecasting, resale, refurbishment, recycling, and recovery pathways.
- Own performance across inventory movement, recovery value, costs, service levels, and customer experience; govern processes, KPIs, and partner execution.
- Use business insights to identify opportunities and risks, and drive standardization, AI, automation, digital enablement, and continuous improvement.
What they ask for
- Global people leadership experience across distributed, multicultural teams.
- Strong knowledge of reverse logistics, product returns, remarketing, refurbishment, disposition, channel sales, and inventory optimization.
- Financial and commercial acumen, including recovery value, cost, and inventory analysis.
- Executive communication and cross-functional influence, external partner management, and operational escalation skills.
Nice to have
- Project Management Professional (PMP) Certification
- Certified Professional In Supply Management (Standards Organizations)
Pay
$121,950.00 - $179,900.00 USD annually (base salary); additional bonus and/or equity opportunities (amount not stated; applies to United States of America candidates only)
AI focus
Drive AI and automation initiatives to reduce waste, improve cycle time, and scale global execution.
Model-written summary · the original posting is authoritative