ZipRecruiter

Log In

1

Manager Meta Ai Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsMeta Ai JobsManager Meta Ai Jobs

Manager Meta Ai information

See salary details

$29K

$104.6K

$118K

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.

More about Manager Meta Ai jobs

What cities are hiring for Manager Meta Ai jobs?

Cities with the most Manager Meta Ai job openings:

What are the most commonly searched types of Meta Ai jobs?

The most popular types of Meta Ai jobs are:

What states have the most Manager Meta Ai jobs?

States with the most job openings for Manager Meta Ai jobs include:

What job categories do people searching Manager Meta Ai jobs look for?

The top searched job categories for Manager Meta Ai jobs are:

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.

AI Research Manager - Meta Superintelligence Labs

Meta

Menlo Park, CA

$219K/yr

Full-time

Posted 22 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 seeking a Research Scientist Manager to join Meta Superintelligence Labs (MSL). In this role, you’ll lead the efforts of building and shipping personal superintelligence at the frontier. This is a technical leadership role requiring research expertise, people management skills, and the experience of driving execution on open-ended AI challenges with high reliability. In this role, you will manage teams of researchers and technical leaders working on large-scale AI problems. The evaluations and datasets your team builds will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will maintain high velocity across your team while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, guiding your team through a wide variety of problems in the LLM post-training space. If you are excited about defining the capabilities that drive AI progress, have a track record of building high-performing technical research teams, and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting leadership opportunity at the core of MSL.
AI Research Manager - Meta Superintelligence Labs Responsibilities:
  • Team leadership & management: Build, mentor, and grow a team of research scientists and research engineers
  • Technical Strategy & Execution: Oversee work across the full LLM post-training stack. Influence the technical roadmap and research direction. Translate ambiguous user and product needs into tractable research questions, technical plans, and measurable outcomes
  • Cross-functional collaboration: Lead complex cross-functional projects end-to-end
  • Hands-on technical contributions: Maintain technical credibility through hands-on contributions to critical projects. Review code, provide technical guidance, and unblock complex scaling or modeling challenges. Define and maintain clear research quality standards and engineering best practices and engineering standards for the team

Minimum Qualifications:
  • PhD degree in Computer Science, Machine Learning, or a related technical field
  • 6+ years of industry experience in AI research, machine learning, or a closely related technical field
  • 4+ years of experience managing teams of researchers or engineers, including experience managing other technical leaders or managers
  • Experience working on frontier-quality/state-of-the-art Large Language Models. Deep, practical experience in LLM post-training
  • Demonstrated ability to balance hands-on technical work with people management and strategic planning
  • Experience communicating technical strategy and research direction to cross-functional stakeholders
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to deep learning, language models, or data-centric AI

Preferred Qualifications:
  • Hands-on experience managing teams that build language model post-training pipelines (SFT/RLHF/RLVR), synthetic data generation, or high-quality evals infrastructure
  • Experience in implementing or developing environments for agentive workflows (e.g., tool use, web browsing environments, coding sandboxes)
  • Extensive experience working on long horizon agents, agent tool use, personalization, and/or search
  • Experience building infrastructure for agentive workflows, tool-use data collection, or reinforcement learning environments
  • Experience building and scaling large-scale distributed systems and high-throughput data processing pipelines
  • Experience managing teams in fast-paced research or startup environments

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.
$219,000/year to $301,000/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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply