Summary :
Meta FinTech Compliance is seeking a KYC Process Automation Manager to lead the identification, analysis, and optimization of operational processes for Know Your Customer (KYC) review. This role is responsible for designing, implementing, and managing innovative automation solutions powered by Large Language Models (LLMs) and other AI technologies, with a focus on reducing manual review workload, improving decision consistency, and driving operational excellence.As a member of the team you will play a pivotal role in transforming KYC operations at scale. Your expertise will directly enable Meta to scale with rapid business growth, drive operational excellence, and set new industry standards for compliance. Be part of a forward-thinking team where your impact will shape the future of AI-driven compliance solutions.
Required Skills :
KYC Process Automation Manager Responsibilities :
Analyze existing business processes and workflows to identify inefficiencies, bottlenecks, and opportunities for automation and improvement
Design, develop, and implement AI / LLM-based solutions to streamline processes, automate repetitive tasks, and improve decision-making
Collaborate with cross-functional teams-including operations, engineering, legal, and product-to define project requirements, deploy AI solutions, and manage change
Monitor and troubleshoot automation performance, ensuring accuracy and compliance
Train and support team members on new automation tools, workflows, and best practices to maximize adoption and impact
Ensure the ethical use of AI, including data privacy compliance and bias mitigation
Stay up-to-date with the latest advancements in AI, machine learning, and LLM technologies to introduce new methodologies and tools
Minimum Qualifications :
Minimum Qualifications :
3+ years of experience in process improvement, business process re-engineering, or operational excellence, with a focus on AI / ML applications
Bachelor's degree in Computer Science, Engineering, Data Science, Business Administration, or equivalent industry experience
Understanding of large language models (LLMs) and their application to agentic systems
Familiarity with Lean, Six Sigma, Agile, or other process improvement methodologies
Experience navigating ambiguity and achieving outcomes in fast-paced environments
Experience contributing to team-level goal setting and strategy development
Preferred Qualifications :
Preferred Qualifications :
Demonstrated track record of delivering impact through data-driven analysis, both directly and by influencing cross-functional partners
Project management experience and ability to communicate effectively with stakeholders at all organizational levels
Experience solving complex problems by evaluating alternative solutions, assessing tradeoffs, and integrating different perspectives to determine the best approach
Experience manipulating and analyzing complex, large-scale, high-dimensional data from multiple sources
Experience with training and inference of large-scale AI models, including LLMs, multimodal models, and reasoning models
Experience conducting research in generative AI and large language models (LLMs)
Experience in change management and leading organizational transformation
Public Compensation :
$116,000 / year to $168,000 / year + bonus + equity + benefits
Industry : Internet
Equal Opportunity :
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Automation Manager • Chicago, IL, United States