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Virtual Protective Intelligence information

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$2.5K

How much do virtual protective intelligence jobs pay per week?

As of Jul 21, 2026, the average weekly pay for virtual protective intelligence in the United States is $1,389.29, according to ZipRecruiter salary data. Most workers in this role earn between $1,163.46 and $1,471.15 per week, depending on experience, location, and employer.

What is the difference between Virtual Protective Intelligence vs Physical Protective Intelligence?

AspectVirtual Protective IntelligencePhysical Protective Intelligence
CredentialsSecurity certifications, intelligence analysis trainingSecurity certifications, threat assessment training
Work EnvironmentRemote, digital platforms, surveillance systemsOn-site, physical security locations
Employer & IndustrySecurity firms, corporate security, government agenciesSecurity firms, government agencies, private clients
Search & Comparison IntentUnderstanding virtual security roles, remote threat analysisPhysical security roles, on-site threat prevention

Virtual Protective Intelligence focuses on remote threat assessment and digital security measures, while Physical Protective Intelligence involves on-site security and physical threat prevention. Both roles require security certifications but differ mainly in work environment and methods used to ensure safety.

What cities are hiring for Virtual Protective Intelligence jobs? Cities with the most Virtual Protective Intelligence job openings:
What are the most commonly searched types of Protective Intelligence jobs? The most popular types of Protective Intelligence jobs are:
What states have the most Virtual Protective Intelligence jobs? States with the most job openings for Virtual Protective Intelligence jobs include:
What job categories do people searching Virtual Protective Intelligence jobs look for? The top searched job categories for Virtual Protective Intelligence jobs are:
Virtual Protective Intelligence jobs near you
Infographic showing various Virtual Protective Intelligence job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,243 per year, or $34.7 per hour.
Law Enforcement Signals Intelligence Specialist

Law Enforcement Signals Intelligence Specialist

Meta

Washington, DC

$125K/yr

Full-time

Posted 22 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Our Intelligence, Safety, and Signals team is looking for a Signals Intelligence Specialist to help analyze, detect, and disrupt networks of criminal scammers around the globe. You will enjoy working with a dedicated law enforcement-facing team within the technology sector, and have access to cutting-edge technology designed to detect nefarious online activities. This role is highly cross-functional and will be expected to work with teams across the company to identify key trends in the law enforcement space that can make the platform safer.
Law Enforcement Signals Intelligence Specialist Responsibilities:
  • Use existing data to identify large networks of nefarious actors and activity
  • Regularly provide well-researched and thorough analysis on emerging trends to executive-level stakeholders and law enforcement counterparts
  • Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
  • Use existing insights, and develop an agenda to unearth new ones, to drive engagement with law enforcement or other strategies to prevent or mitigate real world harm
  • Support the development of pipelines and data infrastructure to support the creation of dashboards
  • Create analytic notebooks using artificial intelligence to empower other analysts with advanced analytics capabilities
  • Plan and conduct end-to-end analyses, including gathering requirements and processing and modeling data, and preparing leadership communications on emerging scam networks and archetypes
  • Influence cross-functional teams through presentation of data-based recommendations
  • Develop quantitative metrics to help surface insights from structured datasets
  • Develop and maintain a network of information sources that will provide compelling insights and foresight into emerging news-worthy developments

Minimum Qualifications:
  • 8+ years experience researching, investigating, and analyzing trends related to various online harms
  • 2+ years experience developing and maintaining relational databases
  • Background in conducting data analysis using large databases
  • An understanding of programming languages underpinning our artificial intelligence work such as Python and/or SQL
  • Experience in threat investigation/threat intelligence work in a major government or technology company
  • Extensive experience in developing and delivering written and oral communications tailored to diverse audiences to analytic counterparts, technical audiences, senior leaders, and policymakers
  • Understanding of artificial intelligence and machine learning methods
  • Demonstrated ability to build partnerships with technical and non-technical counterparts across large organizations in order to solve difficult problems
  • Experience performing social network analysis

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience developing processes for sharing information and analytic insights across large organizations
  • Understanding of legal processes used by law enforcement agencies
  • Understanding of basic cyber fundamentals such as TCP/IP and the OSI Model
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in counterterrorism or combatting organized criminal networks
  • Degree in computer science, computer engineering, data science, or at least 2 years of equivalent work experience
  • Experience working on financial fraud and scams issues
  • Experience using artificial intelligence systems to improve detection and enforcement of adversarial networks
  • 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.
$125,000/year to $178,000/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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