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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
Minimum Qualifications
- Bachelor's degree in a directly related field, or equivalent practical experience
- 8+ years of experience in systems architecture and solution design
- 6+ 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
- Demonstrated ability to deliver technical documentation and communicate technical requirements
- Demonstrated skills in program management, including managing complex projects and cross-functional deliverables
- Experience supporting change management and stakeholder engagement
Preferred Qualifications
- 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
- Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical experience
- Experience with Meta’s internal tools and platforms (e.g., Vibe Coding, internal automation frameworks)
- Familiarity with Scaled Operations processes and FTE workflows
- Experience developing playbooks, reusable templates, and best practices for automation at scale
$123,000/year to $179,000/year + bonus + equity + benefits
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