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Manager Meta Ai Jobs (NOW HIRING)

Meta

Monetization Policy Manager

San Francisco, CA · Remote

$122K/yr

Meta is hiring a Monetization Policy Manager with expertise in privacy, AI, and technology policy issues to join our Monetization Policy team and help us build products, services, and technologies ...

Meta

Associate General Counsel, Commercial

New York, NY · On-site +1

$170K/yr

About the TeamThe AI Partnerships Legal team supports Meta's most commercially significant AI ... Ability to operate independently, manage competing priorities, and drive deals to close with ...

New

Meta

Associate General Counsel, Commercial

Atlanta, GA · On-site +1

$170K/yr

About the TeamThe AI Partnerships Legal team supports Meta's most commercially significant AI ... Ability to operate independently, manage competing priorities, and drive deals to close with ...

New

Meta

Associate General Counsel, Commercial

Seattle, WA · On-site +1

$170K/yr

About the TeamThe AI Partnerships Legal team supports Meta's most commercially significant AI ... Ability to operate independently, manage competing priorities, and drive deals to close with ...

New

Meta

Associate General Counsel, Commercial

Austin, TX · On-site +1

$170K/yr

About the TeamThe AI Partnerships Legal team supports Meta's most commercially significant AI ... Ability to operate independently, manage competing priorities, and drive deals to close with ...

New

Meta

Monetization Policy Manager

San Francisco, CA · On-site

$122K - $180K/yr

Meta is hiring a Monetization Policy Manager with expertise in privacy, AI, and technology policy issues to join our Monetization Policy team and help us build products, services, and technologies ...

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How much do manager meta ai jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager meta ai in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a manager at Meta AI do?

A Manager Meta AI oversees teams that develop and implement artificial intelligence solutions at Meta (formerly Facebook). They are responsible for guiding AI strategy, managing projects, and ensuring the successful deployment of AI technologies across Meta's products and services. This role involves collaborating with engineers, researchers, and stakeholders to achieve business goals while maintaining ethical standards in AI development. Additionally, the Manager Meta AI monitors industry trends and helps shape the company's AI roadmap.

What are the key skills and qualifications needed to thrive as a manager at Meta AI?

To thrive as a Manager at Meta AI, you need a strong background in computer science or a related field, experience managing technical teams, and a deep understanding of artificial intelligence and machine learning concepts. Familiarity with tools like Python, TensorFlow, PyTorch, and experience with large-scale data systems or cloud platforms is typically expected. Excellent leadership, collaboration, and communication skills are crucial for motivating teams and driving cross-functional projects. These skills ensure that teams can innovate effectively, execute complex AI initiatives, and align with Meta's strategic goals.

What are some common challenges faced by a manager at Meta AI, and how can they be addressed?

A Manager in Meta AI often encounters challenges such as aligning cross-functional teams, balancing innovative research with business objectives, and managing rapidly evolving technologies. Effective communication and setting clear expectations help bridge gaps between researchers, engineers, and product teams. Additionally, staying current with AI advancements and fostering a collaborative, adaptable culture are key to successfully leading teams through complex projects and constant change.

What is the difference between Manager Meta Ai vs Data Scientist?

AspectManager Meta AiData Scientist
Primary RoleOversees AI projects, manages teams, and aligns AI strategies with business goalsAnalyzes data, develops models, and extracts insights to inform decision-making
Required SkillsLeadership, project management, AI knowledge, communication skillsStatistical analysis, programming, machine learning, data visualization
Typical EnvironmentTech companies, AI startups, large enterprises with AI initiativesResearch labs, tech firms, data-driven industries
CertificationsAI certifications, management courses, relevant degreesData science certifications, programming credentials, advanced degrees in related fields

While both roles involve AI, the Manager Meta Ai focuses on leading AI projects and teams, whereas the Data Scientist concentrates on analyzing data and building models. The manager oversees strategy and execution, while the data scientist provides technical expertise and insights.

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Manager Meta Ai jobs near you
Infographic showing various Manager Meta Ai job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Monetization Policy Manager

Meta

San Francisco, CA • Remote

$122K/yr

Full-time

Re-posted 19 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is hiring a Monetization Policy Manager with expertise in privacy, AI, and technology policy issues to join our Monetization Policy team and help us build products, services, and technologies that benefit both people and businesses globally. The team's mission is to create a strategic advantage and favorable political conditions for our business, specifically around personalized ads. You'll help shape the company's approach to privacy and other key policy issues across Meta’s monetization products.You'll serve as a subject matter expert for Meta’s global policy team on Meta’s AI-driven monetization products and the online advertising ecosystem. You’ll collaborate with our teams to evaluate and respond to legislative and regulatory developments, and to engage with external experts on privacy and other technology policy issues around the world.A strong candidate will be familiar with privacy and technology policy issues related to social media platforms, AI, online advertising, and monetization. You should be a self-starter, a team player, and a creative problem solver who is able to switch easily between detailed work and high-level strategic thinking. You should also have an understanding of and familiarity with stakeholders and perspectives in the privacy community and be able to use your knowledge to promote privacy in Meta’s AI-driven monetization products and services.
Monetization Policy Manager Responsibilities:
  • Evaluate and provide guidance on the privacy and policy implications of AI-driven monetization products, services, and technologies
  • Work with engineers, product managers, designers, lawyers, and others to help interdisciplinary teams build creative solutions to monetization, privacy, and policy challenges, especially when new and novel questions around generative AI and machine learning come into play
  • Serve as a representative of Meta regarding monetization, privacy, and policy issues in external meetings and conferences
  • Analyze global legislative and regulatory proposals concerning privacy and other technology policy issues
  • spot external trends and develop policy strategies for monetization products
  • Consult with external privacy and other policy experts on how best to ensure that Meta builds AI-driven monetization products and services responsibly
  • Serve as a subject matter expert on policy issues related to online advertising and monetization

Minimum Qualifications:
  • Bachelor's degree in a relevant field (e.g., public policy, law, political science, or related discipline)
  • 5+ years of experience with privacy, data security, or technology policy issues
  • Experience counseling and advising on privacy or other technology policy issues

Preferred Qualifications:
  • Experience working directly with senior business executives
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with creating policy analysis and public presentations
  • Working familiarity with privacy legislative frameworks, especially with regard to monetization
  • Experience with privacy or technology policy issues, especially in the monetization and AI contexts
  • JD, Master’s degree or equivalent
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Working familiarity with online advertising and monetization of technology products

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 WhatsApp 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.
$122,000/year to $180,000/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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