Jobs
Benefits & Perks
•Top Tier compensation with equity
•Learning and development stipend
•Health, dental, and vision coverage
•Flexible PTO policy
Required Skills
SQL
PyTorch
TensorFlow
Meta is seeking an experienced technology transactions attorney to join our Business Partnerships Legal team. This role is pivotal in supporting high-priority, complex technology transactions that drive Meta's AI research, products, and services. You will be a key legal partner for the AI Partnerships & business development team, working on time-sensitive projects, including 0→1 initiatives and sophisticated licensing deals that go beyond routine data agreements.
The specific areas of focus and responsibilities will evolve with company priorities, emerging legal issues, and the changing regulatory and competitive landscape.
Associate General Counsel, AI Partnerships Responsibilities:
- Provide strategic legal advice and day-to-day support to internal stakeholders, with a focus on the AI Partnerships & Business Development team, and high-impact product initiatives
- Serve as legal subject matter specialist on artificial intelligence technology transactions, including advanced licensing, joint development, and strategic collaborations
- Draft, negotiate, and close complex AI transactions, including bespoke licensing agreements and technology integrations
- Lead and support 0→1 strategic partnerships, enabling new AI-driven products and features from inception to launch
- Actively participate on cross-functional teams, collaborating with Product, Engineering, Privacy, Policy, and other Legal teams to address novel legal and regulatory issues in AI
- Consult with subject matter experts (e.g., Product counsel, Privacy, Litigation, Compliance, etc.) as needed
- Develop scalable processes for evaluating and executing sophisticated partnership opportunities
Minimum Qualifications:
- Juris Doctor (JD) or equivalent law degree from an accredited institution
- Active membership in at least one U.S. state bar (or equivalent international qualification)
- 8+ years of legal experience as a practicing attorney, including at a law firm and/or in-house, with experience leading technology transactions and complex licensing agreements
- Demonstrated business judgment and client counseling experience
- Experience drafting and negotiating strategic, high-value, non-routine technology licensing agreements
- Effective communication skills
Preferred Qualifications:
- Demonstrated experience with AI transactions, including complex licensing, joint development, and strategic partnerships
- Familiarity with global data privacy, intellectual property, and regulatory issues in the AI domain
- Prior in-house experience supporting business development teams, product partnerships, advanced product teams, or 0→1 product launches
- Experience collaborating at all levels of the business across functions, including leadership and C-suite
- High tolerance for ambiguity and ability to create structure and execution plans in a fast-paced environment
- 10+ years of legal experience as a practicing attorney, including at a law firm and/or in-house, with experience leading technology transactions and complex licensing agreements
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.
$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 · 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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