Jobs
Benefits & Perks
•Flexible work arrangements
•Team events and activities
•401(k) matching
•Generous paid time off and holidays
•Flexible Hours
Required Skills
Python
JavaScript
PostgreSQL
Meta Fin Tech 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.
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:
- 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:
- 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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
$116,000/year to $168,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Product Designer
1,471 reports
$273,432
total / year
Base
$180,290
Stock
$72,619
Bonus
$20,523
$186,170
$416,421
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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