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Manager Meta Ai Jobs in Alabama (NOW HIRING)

Meta is seeking an experienced Logistics Operations Manager to lead Connectivity Capacity ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

New

Manage and prioritize a portfolio of projects at a multiple building data center site. * This ... emerging AI technologies About Meta: Meta builds technologies that help people connect, find ...

Meta is looking for an experienced Infrastructure Materials Manager to support the services of our ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta seeks an experienced transportation manager. The candidate will build strong partnerships with ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

New

Seasonal Meta Sales Specialist

Tuscaloosa, AL · On-site

$21 - $28.25/hr

Direct pathways into lead specialist roles, retail management, and long-term program opportunities ... Add high-impact experience in consumer AI, spatial computing, and premium brand representation to ...

New

Seasonal Meta Sales Specialist

Tuscaloosa, AL · On-site

$21 - $28.25/hr

Direct pathways into lead specialist roles, retail management, and long-term program opportunities ... Add high-impact experience in consumer AI, spatial computing, and premium brand representation to ...

New

... agreed Meta processes, procedures, and standards * Escalate issues to facility management ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

... agreed Meta processes, procedures, and standards * Escalate issues to facility management ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Meta is seeking an experienced Security Engineer to join our Infrastructure Data Center (IDC ... As a key member of the team, you will play a critical role in managing risk for our rapidly scaling ...

... agreed Meta processes, procedures, and standards * Escalate issues to facility management ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

... agreed Meta processes, procedures, and standards * Escalate issues to facility management ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

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Manager Meta Ai information

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.

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

The most popular types of Meta Ai jobs in Alabama are:

What are popular job titles related to Manager Meta Ai jobs in Alabama?

For Manager Meta Ai jobs in Alabama, the most frequently searched job titles are:

Infographic showing various Manager Meta Ai job openings in Alabama as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Network Engineer, Optical Deployment

Meta

Huntsville, AL

$135K/yr

Full-time

Re-posted 23 days ago


Key responsibilities

  • Lead the technical deployment, architecture, and execution for network deployment projects within Edge Network Services.

  • Provide hands-on technical contributions such as design, deployment, migration, troubleshooting, and code reviews on large-scale complex programs.

  • Deploy, migrate, and support Meta's global production network including edge, backbone, and data center infrastructure.


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone networks. In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.
Network Engineer, Optical Deployment Responsibilities:
  • Lead the technical deployment, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployment, ensuring alignment with organizational direction and goals
  • Provide hands-on technical contributions (design, deployment, migrate, code reviews, troubleshooting, etc.) on large scale complex programs demonstrating domain expertise and technical impact
  • Contribute to strategic objectives by executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic direction with hands-on leadership to deliver results across a broad portfolio of initiatives
  • Apply established engineering standards for reliability, scalability, and performance to deliverables, driving continuous improvement in engineering processes and technical quality
  • Collaborate cross-functionally across Network Engineering, Data Center, Network Investments, and Planning teams to ensure successful execution of shared goals on network delivery
  • Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
  • Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
  • 10% to 30% of travel

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
  • 3+ years experience working in Optical Network Engineering
  • Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
  • Knowledge of data center design and operational best practices
  • Proven experience leading and executing network deployment and migration projects
  • Experience interacting with vendors and external parties to drive projects to completion

Preferred Qualifications:
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in data center, edge, or large-scale network environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Proficiency in automation (Python, Go, etc.) and network configuration management tooling
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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.
$135,000/year to $191,000/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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