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