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Executive Meta Jobs in Arizona (NOW HIRING)

You'll work directly with the CEO to bring marketing campaigns to life across paid ads, email ... Familiarity with platforms like Google Ads, Meta Ads, WordPress, HubSpot, or similar tools * Strong ...

Manage and optimize paid advertising campaigns across Google, Meta (Facebook and Instagram ... Collaborate with creative, sales, operations, and executive leadership. * Mentor junior marketing ...

Translate complex metrics into executive level insights that explain the "why" and define the next ... Expert proficiency in at least two primary platforms (Meta Ads Manager and Google Ads). * Strong ...

Translate complex metrics into executive level insights that explain the "why" and define the next ... Expert proficiency in at least two primary platforms (Meta Ads Manager and Google Ads). * Strong ...

Reporting directly to the Founder/CEO, you'll build and execute the full-funnel growth engine ... Own end-to-end digital demand generation: paid search/social (Google, LinkedIn, Meta), SEO, email ...

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Executive Meta information

What is the highest paying job at Meta?

At Meta, executive roles such as Vice President or Director of Engineering tend to be among the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions typically require extensive experience in technology leadership, strategic planning, and advanced technical skills. Compensation varies based on experience, performance, and company performance, but executive-level roles generally offer the highest salaries within the company.

What are the key skills and qualifications needed to thrive as an Executive?

To thrive as an Executive, you need strong leadership abilities, strategic thinking, and a proven track record in business management, often supported by an advanced degree such as an MBA. Familiarity with enterprise management software, financial analysis tools, and industry-specific platforms is typically required. Excellent communication, decision-making, and emotional intelligence are essential soft skills for leading organizations and inspiring teams. These competencies are crucial for driving growth, managing change, and achieving organizational objectives.

What is an Executive Meta?

An Executive Meta typically refers to a high-level leadership role within Meta Platforms, Inc. (formerly Facebook). Executives at Meta are responsible for setting strategic direction, overseeing major business units or functions, and driving the company's mission to build technologies that help people connect and share. They work closely with other leaders to make key decisions, manage teams, and ensure the company's growth and innovation in the tech industry. Executives at Meta often have significant experience in management, technology, or related fields.

How does an Executive in the Meta (Facebook) organization typically collaborate across different departments to drive company objectives?

Executives at Meta often work in a highly cross-functional environment, collaborating with teams such as product, engineering, legal, marketing, and policy. They are expected to lead strategic initiatives, align diverse teams around shared goals, and facilitate open communication between departments. Regular meetings, joint planning sessions, and strategic reviews are common, enabling executives to address challenges quickly and ensure that projects stay on track. This collaborative approach helps drive innovation and ensures that company objectives are met efficiently.

What jobs make $3,000 a day?

Executive roles such as CEOs, CFOs, and other C-suite executives often earn $3,000 or more per day through high salaries, bonuses, and stock options. Additionally, successful entrepreneurs, top-tier sales directors, and specialized consultants in finance or technology can reach this level of daily income, especially when working in high-stakes environments or with significant performance-based compensation.

What jobs pay 500,000 a year in the US?

Executive roles such as Chief Executive Officer (CEO), Chief Financial Officer (CFO), and other C-suite positions often have annual compensation exceeding $500,000, especially in large corporations. High-level investment bankers, successful entrepreneurs, and certain specialized medical professionals can also reach this income level, typically requiring extensive experience, advanced skills, and leadership responsibilities.

What jobs in the US pay 300,000 a year?

Executive roles such as Chief Executive Officer (CEO), Chief Financial Officer (CFO), and Chief Operating Officer (COO) often have annual salaries of $300,000 or more, especially in large corporations. Other high-paying jobs include specialized physicians, certain investment bankers, and senior technology executives, typically requiring extensive experience, advanced degrees, and leadership skills.
What are the most commonly searched types of Meta jobs in Arizona? The most popular types of Meta jobs in Arizona are:
What are popular job titles related to Executive Meta jobs in Arizona? For Executive Meta jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Executive Meta jobs? Cities in Arizona with the most Executive Meta job openings:
Infographic showing various Executive Meta job openings in Arizona as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Mesa, AZ

$193K/yr

Full-time

Posted 24 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 246 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:
  • 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.

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