Job Description

The Scaled Operations organization in Meta is responsible for delivering global scaled human operations to power Meta company priorities.

As part of Meta’s strategic focus on integrating AI into our operational processes, this role will lead programs that transform how we operate within the Scaled Operations. This role will be dedicated to the highest priority opportunities, identified by Scaled Operations leadership, to automate work and unlock new levels of efficiency and effectiveness. This role requires a hands-on leader who can drive optimization and tool implementation to achieve increased efficiency and effectiveness in Scaled Operations work flows.

This role will partner directly with Scaled Operations leadership to identify and prioritize high-impact opportunities for automation. They will assess and optimize Scaled Operations processes and rapidly develop and implement AI-driven, technical solutions and tools to optimize process efficiency. This person will collaborate closely with teams across Scaled Operations, Global Operations, and product, engineering, and data teams to leverage and share best practices, and scale solutions. This person will support the SO Center of Excellence for AI adoption, process optimization, and change management.

Responsibilities
Analyze, map, and redesign internal operational workflows to identify pain points and opportunities for AI-driven automation
* Collaborate with process owners and cross-functional teams to optimize processes and ensure successful automation outcomes
* Architect end-to-end automation solutions, ensuring technical scalability, robustness, and compliance with Meta standards
* Manage complex projects, including requirements gathering, timeline management, and deliverable oversight
* Champion effective change management, developing and executing strategies to support employees and teams through transitions resulting from automation
* Drive cross-functional engagement with product managers, engineers, business stakeholders, and external partners to deliver impactful solutions
* Communicate technical concepts and project status clearly to both technical and non-technical audiences
* Stay current with AI/ML advancements and experiment with new tools and approaches to foster innovation and continuous improvement
* Develop playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
* Manage contract worker or vendor relationships to support technical design development and implementation
* Track, analyze, and report on key metrics and business impact of automation initiatives

Qualifications
Bachelor's degree in a directly related field, or equivalent practical experience
* 10+ years of experience in systems architecture and solution design
* 8+ years of experience in process analysis or business operations
* Proven experience with AI/ML or automation projects, including end-to-end solution delivery
* Expertise in API integration and automation frameworks
* Experience delivering technical documentation and communicating technical requirements to broad audiences
* Demonstrated skills in program management, including managing complex projects and cross-functional deliverables
* Experience supporting change management and stakeholder engagement Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Experience with Meta’s internal tools and platforms (e.g., Vibe Coding, internal automation frameworks)
* Familiarity with Scaled Operations processes and FTE workflows
* Advanced degree in Computer Science, Engineering, Operations, or related field experience
* Experience developing playbooks, reusable templates, and best practices for automation at scale