채용
Benefits & Perks
•Learning and development stipend
•Top Tier compensation with equity
•Wellness benefits
•Health, dental, and vision coverage
•Remote work flexibility
Required Skills
SQL
PyTorch
Airflow
The Core Solutions team empowers Reality Labs to grow revenue by building industry leading sales capabilities that power efficient operations and unlock data driven insights for the sales organization. We are seeking an experienced Retail Operations Program Manager to join our team. This person will be responsible for developing, implementing, and managing retail operations programs across all existing and future partners, supporting field sales teams, field merchandising teams, physical merchandising, and online/digital teams.
Retail Operations Program Manager Responsibilities:
- Develop and implement retail operations programs to drive efficiency, productivity, and customer satisfaction
- Collaborate with cross-functional teams, including channel marketing, sales, logistics, and external partners to align and drive program goals and objectives
- Analyze retail operations data to identify areas for improvement and solutions to address them
- Develop and manage relationships with retail partners, external vendors, and internal stakeholders
- Create and manage program budgets, timelines, and resource allocation
- Develop and deliver program performance reports and presentations to leadership and stakeholders
- Identify and mitigate program risks, and develop contingency plans as required
- Develop and implement change management plans to ensure seamless execution of retail operations programs
- Support field sales teams by development of sales enablement tools and training programs, management of sales incentives and promotions, analysis of sales performance data to inform sales strategies
- Support merchandising teams through, auditing merchandising compliance to guidelines and standards, management of in-store fixtures databases, manage reporting of merchandising effectiveness data, support mystery shop and customer insights reporting
Minimum Qualifications:
- 5+ years of experience in retail operations, program management, or a related field
- 3+ years of experience in managing retail operations programs, including budget management, timeline development, and resource allocation
- Experience with data analysis and visualization tools, such as Tableau, Power Bi, or Alteryx
- Proven track record of success in leadership communication, project management, and problem-solving skills
- Capacity to work in a fast-paced environment and prioritize multiple projects simultaneously
- Bachelor's degree in a relevant field (e.g., Business, Economics, Statistics, or Data Science)
Preferred Qualifications:
- Experience in the consumer electronics industry
- Experience with data modeling and analysis, including SQL and data visualization tools
- Knowledge of retail partner guidelines and processes
- Experience managing budgets and developing financial models
- Certification in program management, such as PMP or Agile
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.
$126,000/year to $178,000/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 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
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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