Program Manager Software and 3P AI

Meta; Menlo Park (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Wellness programs

Job summary

Meta seeks an experienced program manager to support its global enterprise software and AI portfolio within ETSO. You will drive licensing strategies, usage observability, and cost controls across SaaS contracts to ensure measurable value and governance.

You will partner with Product, Engineering, Sourcing, Finance and Legal to define requirements, optimize renewals, and align licensing with industry standards, driving TCO improvements.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 8+ years owning large-scale third-party software portfolios.
• Experience defining functional requirements and influencing Eng/Product roadmaps.
• Experience leading software licensing and cost-efficiency programs at scale.
• Proven track record negotiating enterprise software deals and renewals.
• Fluency with third-party AI agreements, including consumption-based pricing.
• Ability to operate independently and drive outcomes with executive stakeholders.
• Knowledge of enterprise SaaS and 3P AI vendor landscape.
• Experience with consumption showback or chargeback across business units.
• Experience integrating AI tools to optimize workflows and savings.
• Familiarity with software asset management tooling and vendor metering.
• Ongoing AI skill development and familiarity with AI technologies.
• Hands-on familiarity with vendor-metered AI pricing constructs.
• Experience in AI commercial management and licensing lifecycle automation.
• Experience implementing responsible, ethical AI practices.

Skills

Enterprise software licensing

Software asset management

Vendor management

Cost optimization

Usage observability

Financial forecasting

Stakeholder management

AI licensing

Negotiation

Strategic sourcing

Education

Bachelor's degree in a related field

Equivalent practical experience

Tools

Software asset management tools

Vendor admin consoles

Job description

Employee Technology, Strategy & Operations (ETSO) owns the strategy, commercial management, and operational running of the hardware, software, and telecom that Meta's full-time and contingent workforce uses worldwide, with a charter to deliver one consistent employee technology journey at predictable cost.

As an experienced program manager, you will support Meta's global enterprise software and AI portfolio, nurture relationships with strategic software vendors and ensure spend is measured and controlled.

This is a techno-commercial role where your impact stems from a combination of technical domain depth in SaaS and AI-native tools - demand drivers, usage observability, and feature comparisons - and commercial and program strategy - licensing structure, contract terms, internal controls, usage policy and supporting optimization workflows.

You will work with a cross section of roles and teams across Meta including Product, Engineering, Design, Sourcing, Finance and Legal to ensure the right tools are available and you will partner with these teams to build usage observability, measurement and controls to drive the most competitive TCO. Managing the evolving consumption driven licensing models by SaaS providers with embedded AI capabilities will be a key domain for this role. You will hold end-to-end commercial accountability including setting unit economics, building usage and financial forecasts and measuring the enterprise value software portfolio delivers.

Technically grounded in the domain, you will collaborate with engineering to lead programs such as automated provisioning, AI enabled support, build-versus-buy decisions, persona based license allocations that improve user experience while controlling spend and benchmark Meta's position against industry standards.

• Bachelor's degree in a related field or equivalent practical experienceDomain expertise in enterprise software licensing, and technical depth in software asset management solutions, including 8+ years owning large-scale third-party software portfolio
• Experience defining functional requirements, reviewing engineering solutions and influencing Eng and Product roadmap across software lifecycle
• Experience influencing application rationalization strategy at scale, using feature-overlap, persona, and utilization analysis to retire or consolidate overlapping capability
• Demonstrated end-to-end ownership of a software licensing and cost-efficiency program at scale, including the strategy, the negotiation, and the savings/avoidance realization
• Proven track record negotiating and structuring complex enterprise software agreements, including multi-year and enterprise-wide deals, and renewals with tight timelines and complex leverage dynamics
• Demonstrated 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
• Ability to operate independently by setting direction, influencing without authority, and driving outcomes across leadership and executive stakeholders in Engineering, Finance, Procurement, Legal, Security, and other business units Practitioner-level knowledge of the enterprise SaaS and 3P AI vendor landscape, ideally in a shared-function or center-of-excellence model
• Experience standing up consumption showback or chargeback across business units, including allocation methodology for pooled entitlement
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Familiarity with software asset management tooling and with vendor admin consoles as the metering source of truth
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Hands-on familiarity with vendor-metered AI pricing constructs
• Extensive experience and depth in software or AI commercial management
• Experience automating the license lifecycle provisioning, deprovisioning, reclamation, renewal workflow including agentic or AI-assisted workflow redesign with measurable reduction in manual touch
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)