Drimva

Meta

Program Manager Software and 3P AI

$189K–$258K

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

Experience
8+ years owning a large-scale third-party software portfolio.
Education
Bachelor’s degree in a related field or equivalent practical experience.

About the job

Own Meta’s global third-party SaaS and AI portfolio, combining vendor and licensing strategy with engineering programs that improve employee access, control consumption, and optimize cost and business value.

What you'll do

  • Manage a portfolio of 300 applications, including vendor relationships, agreements, renewals, and performance tracking.
  • Build consumption monitoring, forecasting, spend controls, provisioning, reclamation, and license optimization programs with Engineering, Product, and business teams.
  • Lead software consolidation and cost-efficiency strategies, measuring unit economics, savings, and portfolio value.

What they ask for

  • Bachelor’s degree in a related field or equivalent practical experience.
  • 8+ years owning a large-scale third-party software portfolio, with enterprise software licensing expertise and technical depth in software asset management.
  • Demonstrated end-to-end ownership of software licensing and cost-efficiency programs, including complex enterprise agreement negotiations and savings realization.
  • Commercial and contractual fluency with third-party AI agreements, including consumption-based pricing, AI addenda, data-use and model-training restrictions, and change-control rights.

Nice to have

  • Experience standing up consumption showback or chargeback across business units, including pooled-entitlement allocation.
  • Experience automating license lifecycle workflows or redesigning workflows with agentic or AI-assisted tools, with measurable reduction in manual work.

Pay

USD $189,000/year to $258,000/year base salary; bonus and equity amounts not stated

Tools

enterprise SaaS, software asset management solutions, vendor admin consoles

AI focus

Manage AI software consumption, pricing, contracts, and spend controls; integrate AI tools to optimize workflows; apply responsible AI practices; and develop skills in prompt/context engineering and agent orchestration.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)