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Meta Tech Jobs in Washington (NOW HIRING)

AI Policy Manager

Washington, DC · On-site

$153K - $224K/yr

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 ...

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 ...

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 ...

Showing results 41-60

Meta Tech information

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$10

$33

$81

How much do meta tech jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for meta tech in Washington is $33.51, according to ZipRecruiter salary data. Most workers in this role earn between $19.36 and $41.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Meta Tech position, and why are they important?

To thrive as a Meta Tech, you need a strong background in XR (extended reality) technologies, software engineering, and a solid understanding of virtual and augmented reality platforms, typically backed by a degree in computer science or a related field. Experience with development tools like Unity, Unreal Engine, C#, and relevant certifications (such as Meta Quest Developer or AR/VR specialization certificates) are highly valued. Creative problem-solving, collaboration, and adaptability are important soft skills, enabling you to work effectively in fast-evolving tech environments. These competencies are crucial for designing, developing, and maintaining immersive digital experiences in the rapidly advancing metaverse sector.

What are the day-to-day responsibilities of a Meta Tech?

On a typical day, a Meta Tech professional may be developing, testing, and debugging interactive XR applications, collaborating with designers and 3D artists to refine user experiences, and staying up to date with the latest technology trends in the metaverse industry. The role often involves participating in agile team meetings, reviewing code, and troubleshooting hardware or software issues that arise during development. You may also be expected to work closely with product managers to align technical solutions with business goals and attend cross-disciplinary brainstorming sessions to drive innovation. The mix of technical development and team collaboration makes each day dynamic and rewarding for those passionate about XR technology.

What is a Meta Tech?

A Meta Tech job typically refers to a technical role at Meta (formerly Facebook), involving areas like software engineering, data science, product management, or infrastructure development. These roles focus on building and optimizing Meta's platforms, including Facebook, Instagram, WhatsApp, and Reality Labs. Employees in Meta Tech positions leverage cutting-edge technologies such as AI, machine learning, and virtual reality to enhance user experiences and drive innovation. Depending on the specific role, responsibilities may include coding, system design, data analysis, or product development.

What are popular job titles related to Meta Tech jobs in Washington?

For Meta Tech jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Meta Tech jobs?

Cities in Washington with the most Meta Tech job openings:

Infographic showing various Meta Tech job openings in Washington as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 14% Part Time, 10% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $69,710 per year, or $33.5 per hour.

Data Center Lease Portfolio Manager

Meta

Washington, DC

$197K/yr

Full-time

Re-posted 3 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

Meta's infrastructure underpins some of the world's most widely used platforms, and the data center lease portfolio that supports this infrastructure must be managed with precision, strategic foresight, and operational rigor. Meta is seeking an experienced Lease Portfolio Manager to join the Global Leasing organization, responsible for overseeing a large-scale, geographically distributed portfolio of data center lease agreements. In this role, you will drive portfolio-level strategy, manage complex contractual obligations, and ensure that leased capacity aligns with Meta's long-range infrastructure demand forecasts. You will serve as a critical link between real estate, finance, legal, and capacity planning teams to optimize lease structures, mitigate risk, and support Meta's global data center growth.
Data Center Lease Portfolio Manager Responsibilities:
  • Own and manage a global portfolio of data center lease agreements, tracking key contractual milestones, renewal options, termination rights, and financial obligations
  • Develop and maintain portfolio-level capacity models that align leased data center inventory with long-range infrastructure demand forecasts
  • Lead lease restructuring, renewal, and exit negotiations in coordination with legal, finance, and site selection teams
  • Identify and escalate portfolio risks related to capacity shortfalls, lease expirations, or contractual non-compliance, and drive resolution strategies
  • Build and maintain financial models to evaluate lease economics, including total cost of ownership, capital exposure, and scenario analysis across lease structures
  • Partner with capacity planning and infrastructure teams to translate compute and power demand signals into actionable lease portfolio decisions
  • Develop and enforce portfolio governance standards, including lease abstraction processes, data integrity protocols, and reporting cadences
  • Collaborate with legal and compliance teams to ensure lease agreements meet regulatory requirements across multiple jurisdictions
  • Produce executive-level reporting and portfolio dashboards that communicate capacity availability, financial commitments, and strategic risks
  • Evaluate market conditions, colocation provider landscapes, and emerging lease structures to inform long-term portfolio strategy

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 10+ years of experience in data center lease portfolio management, real estate asset management, or data center capacity planning
  • Experience managing large-scale, multi-site data center lease portfolios across diverse geographies and lease structures (e.g., Modified Gross, NNN, Yield-on-Cost)
  • Experience developing financial models for lease transactions, including NPV analysis, capital exposure modeling, and sensitivity analysis
  • Experience collaborating across legal, finance, real estate, and infrastructure or capacity planning functions to drive portfolio decisions
  • Experience synthesizing complex contractual, financial, and operational data into executive-level communications and strategic recommendations

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience integrating capacity demand forecasting methodologies with real estate portfolio planning in a hyperscale or large enterprise data center environment
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with power procurement, critical infrastructure constraints, and their impact on lease site selection and portfolio strategy
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices in data analysis and decision-support contexts
  • Demonstrated ability to integrate AI tools to optimize portfolio reporting workflows and drive measurable efficiency or accuracy improvements

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.
$197,000/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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