Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
$193K/yr
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
$193K/yr
Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...
We are powered by proprietary AI, purpose-built technology, a world-class clinician network, and a ... Manager who knows Meta inside and out. This role is for someone who has personally owned a large ...
We are powered by proprietary AI, purpose-built technology, a world-class clinician network, and a ... Manager who knows Meta inside and out. This role is for someone who has personally owned a large ...
Paid Media Manager - Meta and Google
Michigan City, IN · Remote
$80K/yr
Paid Media Manager - Meta & Google Reports to: VP of Marketing & Operations FLSA Status: Full-time; ... Architect for platform AI. Structure Advantage+ Shopping and Performance Max campaigns to work for ...
Paid Media Manager - Meta and Google
Michigan City, IN · Remote
$80K/yr
Paid Media Manager - Meta & Google Reports to: VP of Marketing & Operations FLSA Status: Full-time; ... Architect for platform AI. Structure Advantage+ Shopping and Performance Max campaigns to work for ...
... Meta's AI workloads on custom accelerators. Your work on LLVM compiler infrastructure directly ... Software Engineering Manager, Compilers, MTIA Responsibilities: * Drive development of the LLVM ...
New
... Meta's AI workloads on custom accelerators. Your work on LLVM compiler infrastructure directly ... Software Engineering Manager, Compilers, MTIA Responsibilities: * Drive development of the LLVM ...
New
This role is critical to ensuring Meta's module and MTIA roadmap modules meet quality, reliability ... Strong project management skills with the ability to manage multiple concurrent validation programs
This role is critical to ensuring Meta's module and MTIA roadmap modules meet quality, reliability ... Strong project management skills with the ability to manage multiple concurrent validation programs
Consumer Product Marketing Manager
New York, NY · On-site
$130K - $188K/yr
... Meta AI, and Reality Labs and drive complex cross-company initiatives. This role is responsible for leading inbound and outbound product marketing initiatives. You will be responsible for influencing ...
Consumer Product Marketing Manager
New York, NY · On-site
$130K - $188K/yr
... Meta AI, and Reality Labs and drive complex cross-company initiatives. This role is responsible for leading inbound and outbound product marketing initiatives. You will be responsible for influencing ...
Hardware Engineer, AI Accelerator Module Validation
Menlo Park, CA · On-site
$173K - $245K/yr
This role is critical to ensuring Meta's module and MTIA roadmap modules meet quality, reliability ... manage multiple concurrent validation programs • Experience conveying technical findings in ...
Hardware Engineer, AI Accelerator Module Validation
Menlo Park, CA · On-site
$173K - $245K/yr
This role is critical to ensuring Meta's module and MTIA roadmap modules meet quality, reliability ... manage multiple concurrent validation programs • Experience conveying technical findings in ...
... Meta AI, and Reality Labs and drive complex cross-company initiatives. This role is responsible for leading inbound and outbound product marketing initiatives. You will be responsible for influencing ...
... Meta AI, and Reality Labs and drive complex cross-company initiatives. This role is responsible for leading inbound and outbound product marketing initiatives. You will be responsible for influencing ...
Supply Chain Lead, Large Clusters
Menlo Park, CA · On-site
$179K - $249K/yr
With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and ...
Supply Chain Lead, Large Clusters
Menlo Park, CA · On-site
$179K - $249K/yr
With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and ...
Technical Sales Manager - META - Fremont
Plano, TX · On-site
$150K - $175K/yr
... Management * Serve as the primary technical/business interface for hyperscale accounts (e.g., Meta ... AI/ML workload-driven power density increases * Provide competitive insights and identify gaps in ...
Technical Sales Manager - META - Fremont
Plano, TX · On-site
$150K - $175K/yr
... Management * Serve as the primary technical/business interface for hyperscale accounts (e.g., Meta ... AI/ML workload-driven power density increases * Provide competitive insights and identify gaps in ...
... power Meta's AI, data center, and cloud infrastructure globally. You will operate at the ... The Sourcing Manager for Strategic Silicon serves as the primary commercial contact for strategic ...
... power Meta's AI, data center, and cloud infrastructure globally. You will operate at the ... The Sourcing Manager for Strategic Silicon serves as the primary commercial contact for strategic ...
Technical Sales Manager - META - Plano
Plano, TX · On-site
$150K - $175K/yr
... Management * Serve as the primary technical/business interface for hyperscale accounts (e.g., Meta ... AI/ML workload-driven power density increases * Provide competitive insights and identify gaps in ...
Technical Sales Manager - META - Plano
Plano, TX · On-site
$150K - $175K/yr
... Management * Serve as the primary technical/business interface for hyperscale accounts (e.g., Meta ... AI/ML workload-driven power density increases * Provide competitive insights and identify gaps in ...
With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and ...
With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and ...
Manager Meta Ai information
See salary details
$29K - $37.1K
1% of jobs
$37.1K - $45.2K
5% of jobs
$45.2K - $53.3K
3% of jobs
$53.3K - $61.4K
3% of jobs
$61.4K - $69.5K
3% of jobs
$69.5K - $77.5K
1% of jobs
$77.5K - $85.6K
1% of jobs
$85.6K - $93.7K
1% of jobs
$93.7K - $101.8K
1% of jobs
$101.8K - $109.9K
1% of jobs
$110.3K is the 25th percentile. Wages below this are outliers.
$109.9K - $118K
79% of jobs
$29K
$104.6K
$118K
How much do manager meta ai jobs pay per year?
As of Aug 15, 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 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 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 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?
| Aspect | Manager Meta Ai | Data Scientist |
|---|---|---|
| Primary Role | Oversees AI projects, manages teams, and aligns AI strategies with business goals | Analyzes data, develops models, and extracts insights to inform decision-making |
| Required Skills | Leadership, project management, AI knowledge, communication skills | Statistical analysis, programming, machine learning, data visualization |
| Typical Environment | Tech companies, AI startups, large enterprises with AI initiatives | Research labs, tech firms, data-driven industries |
| Certifications | AI certifications, management courses, relevant degrees | Data 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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Cities with the most Manager Meta Ai job openings:
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The most popular types of Meta Ai jobs are:
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Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
136th of 244 rated software companies
Job description
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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.
Network Engineer, AI Infrastructure Repair Responsibilities:
- Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
- Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
- Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
- Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
- Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
- Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
- Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
- Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
- Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
- Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings
Minimum Qualifications:
- Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
- Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
- Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
- 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments
Preferred Qualifications:
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
- Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale
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.
$193,000/year to $271,000/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.
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.
$193,000/year to $271,000/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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US