Jobs
Benefits & Perks
•Flexible work arrangements
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Parental leave
•Generous paid time off and holidays
•Team events and activities
•Flexible Hours
•Healthcare
•Parental Leave
Required Skills
JavaScript
TypeScript
PostgreSQL
As an Agency Solution Manager, you will be a technical and consultative expert, empowering agency partners to maximize the value of Meta's advertising platforms. Your focus will be on data analysis, solution enablement, and driving AI/automation adoption. You'll work cross-functionally to deliver actionable insights, optimize campaign performance, and scale best practices across the region.
Agency Solution Manager Responsibilities:
- 1.
Data Analysis & Insights:
- Analyze campaign and platform data to identify trends, risks, and opportunities for agencies
- Build dashboards, reporting templates, and deliver actionable recommendations to agency partners and internal teams
- Translate complex data into clear, business-focused insights
- 2. Solution Enablement
- Support agencies in implementing and optimizing Meta's advertising solutions, including technical onboarding and troubleshooting
- Conduct training sessions and workshops on Meta's tools, analytics platforms, and best practices
- Develop and maintain technical documentation and enablement resources
- 3.
AI & Automation Focus:
- Advocate for and implement AI-powered productivity tools and automation workflows to streamline agency and internal team operations
- Share best practices and learnings across teams to drive scalable impact
- Stay current with the latest AI and automation trends relevant to digital marketing
- 4. Cross-Functional Collaboration
- Work closely with product, engineering, analytics, and sales teams to resolve technical challenges and drive continuous improvement
- Foster relationships with agency stakeholders, ensuring alignment and successful solution delivery
- 5.
Communication & Language Skills:
- Communicate effectively in Mandarin, Cantonese, and English, adapting style for agencies and their clients as audiences
- Facilitate clear, structured discussions with agencies and internal teams
Minimum Qualifications:
- Bachelor's degree in Business, Marketing, Data Science, Computer Science, or related field
- 5+ years experience in digital marketing, ad operations, analytics, or technical solutions
- Advanced skills in data analysis (e.g., SQL, Python, Tableau, Excel)
- Experience with AI productivity tools and workflow automation
- Native or fluent in Mandarin, Cantonese, and English
- Confident in problem-solving, communication, and stakeholder management skills
- Ability to work independently and collaboratively in a fast-paced environment
- Experience with Meta's advertising products and APIs
Preferred Qualifications:
- Familiarity with agency environments and digital media buying platforms
- Track record of driving business impact through data-driven strategies and technical enablement
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.
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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