Program Manager Software and 3P AI

Meta•Menlo Park, CA

12d•$189,000 - $258,000

About The Position

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. Its charter is 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 techno-commercial role combines technical domain depth in SaaS and AI-native tools—including demand drivers, usage observability, and feature comparisons—with commercial and program strategy, including licensing structures, contract terms, internal controls, usage policy, and optimization workflows. You will work across Product, Engineering, Design, Sourcing, Finance, and Legal to ensure the right tools are available and to build usage observability, measurement, and controls that drive competitive total cost of ownership (TCO). Managing evolving consumption-driven licensing models for SaaS providers with embedded AI capabilities will be a key area of focus. You will hold end-to-end commercial accountability, including setting unit economics, building usage and financial forecasts, and measuring the enterprise value delivered by the software portfolio. Working with Engineering, you will lead technically grounded programs such as automated provisioning, AI-enabled support, build-versus-buy decisions, and persona-based license allocations to improve user experience while controlling spend, and benchmark Meta's position against industry standards.

Requirements

Bachelor's degree in a related field or equivalent practical experience.
Domain expertise in enterprise software licensing and technical depth in software asset management solutions, including 8+ years owning a large-scale third-party software portfolio.
Experience defining functional requirements, reviewing engineering solutions, and influencing Engineering and Product roadmaps across the software lifecycle.
Experience influencing application rationalization strategy at scale, using feature-overlap, persona, and utilization analysis to retire or consolidate overlapping capabilities.
Demonstrated end-to-end ownership of a software licensing and cost-efficiency program at scale, including strategy, negotiation, and savings or cost-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.

Nice To Haves

Practitioner-level knowledge of the enterprise SaaS and third-party 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 or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Familiarity with software asset management tooling and vendor admin consoles as the metering source of truth.
Demonstrated ongoing AI skill development, such as prompt/context engineering or 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 license lifecycle provisioning, deprovisioning, reclamation, and renewal workflows, including agentic or AI-assisted workflow redesign with measurable reduction in manual touch.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.

Responsibilities

Manage Meta's third-party SaaS and AI ecosystem, overseeing a portfolio spanning 300 applications.
Establish internal strategy and build systems to manage consumption-unit models for metered AI SKUs; implement spend controls and burn-down monitoring where relevant to manage variable consumption.
Build and execute engineering solutions with Engineering and Product teams to integrate software store strategies, define measurement requirements, and automate license provisioning to improve user experience and keep TCO under control.
Collaborate with business units to forecast licensing demand, suggest alternate technical solutions and options, define persona-based entitlement models, and build systems to enforce reclamation thresholds.
Provide decision support for tool convergence strategy by running feature-overlap assessments, persona and utilization analysis across the portfolio, and converting findings into a prioritized consolidation agenda.
Serve as the accountable owner for cost efficiency, driving programs that measure cost per unit of business value and sustain historical cost avoidance.
Manage relationships with strategic software and AI vendors, including escalation management, strategic business reviews, performance and commitment tracking, and influencing vendor product roadmaps toward Meta's requirements.