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Product Analyst Meta Jobs in Alabama (NOW HIRING)

Meta

Data Center Capacity Engineer

Montgomery, AL · On-site

$111K/yr

... Meta's family of apps and services. In this role, you will analyze server and infrastructure ... global production footprint. The Data Center Capacity Engineer is responsible for planning and ...

Meta

Lead Building Engineer

Montgomery, AL

$104K/yr

Meta is seeking a Lead Building Engineer to join our Data Center Critical Facility Operations team ... Lead root cause analysis investigations following equipment failures or operational incidents ...

Meta

Site Logistics Operations Lead

Montgomery, AL · On-site

$115K/yr

Meta is seeking an experienced Data Center Site Logistics Operations Lead in support of data center ... production IT or similar environment * 7+ years experience in business analysis/program management

Meta

Network Engineer, ENS Strategic Lead

Huntsville, AL · On-site

$193K/yr

Meta is looking for a forward-thinking and strategic leader focused on operational execution with ... Cross-Functional reach across Product Engineering, Security, Compliance, and Investment teams: This ...

Meta

Network Engineer, ENS Strategic Lead

Montgomery, AL · On-site

$193K/yr

Meta is looking for a forward-thinking and strategic leader focused on operational execution with ... Cross-Functional reach across Product Engineering, Security, Compliance, and Investment teams: This ...

OWA

Digital Marketing Mgr

Foley, AL · On-site

... Ads, Meta advertising, SEO, email marketing, website performance, and digital analytics, with ... production and deployment * Build and maintain digital reporting dashboards tracking traffic ...

OWA

Digital Marketing Mgr

Foley, AL · On-site

... Ads, Meta advertising, SEO, email marketing, website performance, and digital analytics, with ... production and deployment * Build and maintain digital reporting dashboards tracking traffic ...

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Product Analyst Meta information

What does a product analyst at Meta do?

A Product Analyst at Meta is responsible for analyzing data related to products and user behavior, identifying trends, and providing actionable insights to improve product performance. They work closely with product managers, engineers, and designers to inform decision-making and strategy. Their tasks may include conducting A/B tests, creating dashboards, and presenting findings to stakeholders. The goal is to enhance user experience and drive business growth through data-driven recommendations.

What are the key skills and qualifications needed to thrive as a product analyst at Meta, and why are they important?

To thrive as a Product Analyst at Meta, you need strong analytical skills, proficiency in data analysis, and a background in statistics or a related field, often supported by a degree in a quantitative discipline. Familiarity with SQL, data visualization tools (like Tableau), and experience with A/B testing platforms are typically required. Exceptional problem-solving abilities, communication skills, and cross-functional collaboration help Product Analysts stand out. These skills and qualifications are crucial for driving data-informed product decisions and delivering impactful business insights in a fast-paced tech environment.

How does a product analyst at Meta typically collaborate with product managers and engineers?

As a Product Analyst at Meta, you'll work closely with product managers and engineers to analyze user behavior, identify trends, and provide data-driven recommendations. You'll often be involved in regular cross-functional meetings, where you'll present insights and help prioritize feature development. Your role is key in shaping the product roadmap by translating complex data into actionable strategies, and you'll also design and monitor experiments to measure the impact of new features. Effective communication and teamwork are essential, as your analyses directly inform decision-making across the product team.

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Product Analyst Meta jobs near you
Infographic showing various Product Analyst Meta job openings in Alabama as of August 2026, with employment types broken down into 100% Full Time. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution.

Data Center Capacity Engineer

Meta

Montgomery, AL • On-site

$111K/yr

Full-time

Re-posted 23 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 Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to plan and deliver capacity at scale. Your work will directly influence how Meta provisions, allocates, and optimizes compute, storage, and network resources across its data center fleet, enabling reliable and efficient operation of the platforms that connect people worldwide.The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing resources and data center capacity at Meta, as part of a global production footprint. The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server and hardware capacity requirements in a hyperscale data center campus. Collectively and globally, these roles plan and build one of the largest Internet services in the world with tens of billions of user requests, tens of exabytes of data, thousands of gigabits per second of network traffic, while maintaining operational and resource allocation efficiency. The Capacity Engineer will drive planning, ownership, and delivery of capacity within our data center locations. Demonstrated project management experience, including planning, tracking, and delivering complex infrastructure projects, and infrastructure engineering knowledge are required as this role manages complex infrastructure projects within the data center, often in parallel; including capacity planning, receiving, moving, and decommissioning.The candidate should be able to adapt to shifting priorities and manage concurrent workstreams in a dynamic operational environment. The successful candidate will be able to work independently and also within groups. This role will interact closely with many cross-functional partners, including capacity and performance engineers, data scientists, optimization and process engineers, capacity planners, supply chain, logistics, finance, data center construction, facility operations, security, network engineering, network operations, hardware engineering, software engineering, and systems & tooling engineering.
Data Center Capacity Engineer Responsibilities:
  • Own accountability for the three capacity workflows (receiving, moves, decommissioning), facilitating collaboration among various cross-functional partners to meet capacity demands
  • Collaborate with key stakeholders and partners to develop a strategy and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
  • Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the data center
  • Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta’s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
  • Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
  • Develop and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety
  • Drive alignment and execution of key capacity strategic, engineering, and operational initiatives across functional partners at the data center. Ensure operational consistency, to scale operations efficiently and effectively
  • Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
  • Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintenance, and decommissioning of server hardware at scale
  • Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
  • Mentor capacity team members both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
  • Apply deep knowledge of infrastructure (including, but not limited to cooling, power, networking, and automation) as it relates to the capacity role. Be a Subject Matter Expert (SME) in one or more of these areas

Minimum Qualifications:
  • 7+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
  • B.S., B.A., or B.Eng. in a relevant field, or equivalent degree or certification
  • Experience with process ownership and development, and systems development
  • Knowledge of enterprise-level networking, servers, and storage installations
  • Demonstrated understanding of data center infrastructure systems and applications
  • Familiarity with data center power and cooling constraints, and their impact on server density and capacity planning decisions
  • Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to multiple audiences
  • Demonstrated ability to solve complex problems and to deliver at scale

Preferred Qualifications:
  • Master's degree in an engineering discipline
  • Proficiency in programming and scripting languages such as SQL, R, Python, Bash, or other programming languages
  • Background in developing scenario-based capacity models that account for hardware supply chain variability and workload elasticity
  • Experience with server hardware lifecycle management, including procurement planning, rack integration, and hardware refresh programs in a large-scale data center environment
  • Experience in driving results through AI in a hyperscale environment
  • Experience building automated capacity tracking systems or integrating capacity data across multiple infrastructure domains
  • Experience in the application of data-driven continuous improvement through Lean Six Sigma or other process analysis methodologies, visualization, and modeling
  • Project management and delivery experience through Agile methodology or PMP certification

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.
$111,010/year to $158,995/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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