Program Manager, Global Response Operations

Meta•Austin, TX

2d•$118,000 - $170,000

About The Position

Meta is seeking a motivated program manager to lead complex, cross-functional programs within Global Response Operations. The role sits at the intersection of operations, policy, and product, translating evolving external requirements into durable, scalable operational processes. The Program Manager partners with product and engineering teams across the product development lifecycle and drives change delivery, AI integration and scaling, quality governance, and operationalization in partnership with Global Response Operations lines of business and technical cross-functional partners.

Requirements

At least 8 years of experience running large-scale, cross-organizational programs.
Experience delivering complex programs from inception through launch and into steady-state operation.
Experience delivering programs that apply AI or machine learning to operational workflows, including partnering with technical teams on model or classifier development, defining data and labeling requirements, and measuring model quality in production.
Experience designing and scaling agentic operating models that pair automated decision-making with human review, quality audits, and ongoing performance monitoring.
Experience in a regulated environment translating external legal, regulatory, or compliance requirements into operational processes, standards, and controls, and partnering with legal, policy, and compliance stakeholders.
Experience gathering requirements across diverse areas and users and converting them into operational and product solutions with engineering and product teams.
Executive-level communication experience and experience influencing senior leadership and technical management teams to develop systems, solutions, and products.
Experience operating autonomously across multiple teams and functions, with demonstrated critical thinking and thought leadership.
Experience establishing working relationships across multidisciplinary teams and multiple partners in different time zones.
Experience defining program scope, milestones, and success criteria amid evolving requirements, and driving alignment and execution across organizations.

Nice To Haves

Understanding of product life cycles and operationalizing product strategy.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Proficiency or basic knowledge of analytical tools such as Excel and SQL for analytics, reporting, and operational decision-making.
Systems knowledge and background, particularly related to scaling products.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Demonstrated ongoing AI skill development, such as prompt/context engineering and agent orchestration, and staying current with emerging AI technologies.
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
Experience re-scoping or re-prioritizing active programs in response to changing business requirements while maintaining stakeholder alignment and delivery timelines.
Experience working in trust and safety, content moderation, risk, or regulated operational environments.
Technical fluency to understand, communicate, and drive impact in highly technical, fast-moving problem spaces.

Responsibilities

Lead and manage large-scale, complex, cross-functional programs in a matrixed organization from inception to completion, spanning tools and products across all lines of the business.
Translate external and policy requirements into operational guidelines, process documentation, and review standards that can be executed at scale.
Enable Global Response Operations to scale AI and non-AI solutions across business teams in partnership with technical cross-functional partners.
Drive program planning and execution, aligning stakeholders on prioritization, sequencing, and resourcing.
Establish quality and governance mechanisms, including audits, performance monitoring, root-cause analysis, and continuous improvement loops for automated and human-in-the-loop workflows.
Partner with workforce planning and vendor management partners to ensure operational capacity is in place ahead of program milestones.
Increase program visibility through regular progress tracking, reporting, and communication tailored to diverse stakeholder audiences.
Provide hands-on technical program management across analysis, design, development, testing, implementation, and post-implementation phases.
Manage risks, mitigation, issue resolution, and change across the program.
Interface with engineering teams and cross-functional partners on program requirements and scope.