招聘
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•Competitive salary and equity package
•Parental leave
•401(k) matching
•Flexible work arrangements
•Professional development budget
•Healthcare
•Equity
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
JavaScript
Node.js
Meta is seeking a customer centric and relationship-focused Client Partner with an appetite for strategic planning, operational rigor, and a track record of exemplary execution.
The Client Partner for Meta's Global Business Group is a strategic and vision setting relationship owner with our top advertisers where trust is built on platform mastery combined with a significant understanding of our client's business. The role will focus on building key strategic external and internal cross functional relationships including marketing, analytics, engineering and product. Success in this position will consist of driving meaningful revenue growth, developing executive client influence, planning and leading long term vision for our client's success on the platform through a consultative sales approach, as well as experience thriving in an agile, team-focused environment delivering against tight deadlines.
Client Partner Responsibilities:
- Strategic account planning to drive step-change investment growth
- Cultivate executive relationships externally as well as horizontal relationships beyond core marketing teams both internally and externally
- Identify and lead new business growth opportunities
- Manage complex workstreams end to end, and remain agile on client accounts
- Serve as the escalation point for client-related issues, ensuring prompt and effective resolution
- Travel as needed
Minimum Qualifications:
- 8+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles
- 3+ years of experience as a proven adviser influencing executives and clients
- Bachelor's Degree
- Experience clearly communicating the progress of strategic initiatives to internal and external stakeholders, including the capacity to synthesize feedback and adjust plans accordingly
- Proven track record in storytelling through data visualization, developing insight-based hypotheses and driving learning plans to build compelling business cases and influence key decisions
- Experience collaborating, communicating, and influencing internal and external stakeholder, including cross-functional teams including engineering, product, data science
- Understanding of the client's business, industry, competition, company priorities and marketing budget, define success metrics and set goals for joint partnership objectives
- Capacity to gain mastery of our products and combine it with an understanding of our client's product/systems to seamlessly switch between high-level and detailed views when driving long term big bet solutions with clients
Preferred Qualifications:
- Experience Meta's full suite of advertising solutions
- Experience working cross-functionally with Product teams to improve products features and functionalities
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@meta.com.
$107,000/year to $169,000/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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