채용
Benefits & Perks
•Team events and activities
•Competitive salary and equity package
•Parental leave
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Flexible work arrangements
•Equity
•Parental Leave
•Healthcare
•Flexible Hours
Required Skills
React
TypeScript
Node.js
The Product Risk & Compliance (Risk) Product Analytics VP role will lead the Data Science and Data Engineering functions for the Risk pillars (Privacy Areas, Foundations, and Central Youth). The role is key in driving the company's overall risk strategy, including competition, accessibility, and youth ensuring Meta's products and services are designed with compliance in mind, and the company complies with global regulatory requirements. The VP Analytics role is responsible for ensuring data informed strategy and execution along with a high focus on efficiencies and optimization across our cross-Meta investments.
VP of Product Analytics, Product Risk & Compliance Responsibilities:
- Key member of Risk leadership team (across Eng, PM, Product Design, Analytics) led by Michel Protti (Meta's Chief Privacy and Compliance Officer, Product) and defines and executes upon all aspects of the product roadmaps and communicates vision/roadmap/execution updates to org
- The role is key to ensuring we meet regulatory obligations to reduce product and compliance risks (both interpretation and implementation risks) for Meta, optimize solutions to reduce product and compliance costs, and unlock Meta topline value
- Uplevel the products, business, and organization by asking the most important data questions, holding a high-quality bar, leading with data, influencing with persuasive storytelling
- a masterful change agent and strategist, and an action-oriented leader of leaders
- Leads a global org of 150+ data scientists and data engineers and partners closely with Product Management, Engineering, Design and other core cross-functional teams to develop, inform, influence, support, and execute product strategy and investment decisions
- Partners closely with Risk Leadership and other key stakeholders x FoA and x Meta
- Role owns all aspects of functional (DE and DS) development within the scope including Risk org goals, metrics, and measurement
- Responsible for delivering on a wide range of analytical problems from internal data assets, data systems, product and compliance reviews (which touch every diff at the company that involves user data), employee experiences, regulatory landscape, external pressures, to infrastructure and strategically ambiguous spaces where we may have very little data (e.g. regulators), etc.
- Responsible for delivering on the youth product roadmap and all of the age assurance and prediction workstreams (age prediction for all goaling and product use cases across FoA and M10N and is central to FB YA and IG teen priorities, age gating etc)
Minimum Qualifications:
- 15+ years of work experience managing analytics teams, working collaboratively with Product, Engineering, and cross-functional partners, and guiding data-influenced product and business planning, prioritization, strategy development, and execution.
- Demonstrated experience in hiring, retaining, growing, scaling and strategically optimizing diverse, geographically dispersed, high-performing teams.
- Proven experience influencing product strategy and driving change with executives across organizational boundaries through clear and compelling communication of data-driven insights and analyses.
Preferred Qualifications:
- Experience developing and implementing effective data driven product risk management and compliance strategies.
- Knowledge of and/or familiarity with Regulatory Readiness Programs and Governance, Risk, and Compliance (GRC).
- Experience with both product and business analytics work and demonstrated experience to deliver an integrated approach.
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.
$463,000/year to $487,000/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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