Drimva

Meta

Program Manager, Hardware Vendor Management

$123K–$179K

Menlo Park, CA · Manager · Full-time · Posted Oct 27, 2026

Experience
5+ years of IT hardware procurement and contract negotiations experience; no alternative stated.
Education
Bachelor's degree in a directly related field, or equivalent practical experience; the posting also states a bachelor's degree in a related field or equivalent practical experience.

About the job

Leads vendor strategy and relationships for employee end-user and collaboration hardware, driving commercial value, performance, innovation, and cross-functional efficiency initiatives.

What you'll do

  • Design and implement vendor programs with supply chain and collaboration technology teams; manage non-operational vendor matters, including financial, risk, compliance, performance, and innovation.
  • Strengthen strategic vendor relationships, influence product roadmaps, engage leadership, and manage escalations.
  • Lead vendor selection, pricing, and negotiations; develop vendor performance scorecards and support category initiatives.

What they ask for

  • Bachelor's degree in a directly related or related field, or equivalent practical experience.
  • Demonstrated experience managing relationships with large Enterprise IT Hardware OEMs and VARs.
  • 5+ years of IT hardware procurement and contract negotiations experience with OEMs and resellers for end user and collaboration technologies.
  • Working knowledge of end-user hardware or IT asset lifecycle; contract knowledge; and ability to influence across organizational levels and drive cross-functional outcomes.

Nice to have

  • Experience with hardware or supply chain systems, such as inventory, warehouse, logistics, or order management.
  • Experience in a shared-function, center-of-excellence, or global IT operating model; familiarity with hardware commercial constructs.

Pay

$123,000/year to $179,000/year (base salary)

Tools

Lenovo, Cisco, Apple, MSA, MPA

AI focus

Requires ongoing AI skill development; responsible and ethical AI practices; and integration of AI tools to optimize or redesign workflows and achieve measurable impact.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)