採用
Benefits & Perks
•Top Tier compensation with equity
•Annual team offsites
•Health, dental, and vision coverage
•Parental leave program
Required Skills
PyTorch
SQL
TensorFlow
Meta's Product Counsel organization provides strategic legal advice and risk mitigation to product, engineering, and business teams across Meta's family of products and services. The organization partners cross-functionally to address complex, novel legal issues in a fast-paced, innovative environment, and influences product and business decisions at scale.
Associate General Counsel
AI Product Responsibilities:
- Provide practical, strategic legal advice to product, engineering, and business teams across Meta's global products and initiatives
- Analyze new products, features, and business models to identify and mitigate legal risks across multiple jurisdictions
- Advise on a broad range of legal subject areas, including consumer protection, data protection, privacy, competition, intellectual property, and emerging legal frameworks
- Drive high-profile, high-impact projects involving legal analysis and compliance with cross-functional stakeholders (business, policy, legal, communications, security, etc.)
- Influence product and business decisions, ensuring alignment with legal and regulatory requirements
- Proactively identify and address potential legal roadblocks, developing plans to mitigate risks
Minimum Qualifications:
- Juris Doctor (JD) or equivalent law degree from an accredited institution
- Active and in good standing bar license in at least one U.S. state or equivalent foreign bar license. Where the jurisdiction of licensure differs from the location in which the role is based, the ability to promptly obtain permission to practice law for Meta in that location
- 5+ years of legal experience as a practicing attorney, including at a law firm, in-house, or in government
- Demonstrated experience providing legal advice on technology, internet, or media products and services
- Experience with advertising, privacy, data protection, consumer protection, competition, and/or intellectual property laws and regulations
- Proven business judgment and client counseling skills
- Effective communication skills
- Experience working on cross-functional projects and influencing executive-level stakeholders
- High tolerance for ambiguity and ability to create structure and execution plans in a fast-paced environment
Preferred Qualifications:
- 8+ years of legal experience as a practicing attorney, including at a law firm, in-house, or in government
- Experience working on AI powered products
- Product counseling experience
- Demonstrated experience with AI transactions, including complex licensing, joint development, and strategic partnerships
- Prior in-house experience supporting advanced product teams or 0→1 product launches
- Familiarity with global data privacy, intellectual property, and regulatory issues in the AI domain
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.
$202,000/year to $274,000/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 Manager
1,253 reports
$369,821
total / year
Base
$212,277
Stock
$120,483
Bonus
$37,061
$250,214
$571,998
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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