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Meta Testing Jobs in Spanaway, WA (NOW HIRING)

As a Competitive Intelligence Lead in Meta's Competitive Intelligence organization, you will ... testing data for quality, reliability, understanding data-biases and being solution driven

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Drive decision-making through user insights, quantitative analysis and AB testing * Maximize ...

Growth Marketing Manager

Seattle, WA · On-site

$125K - $165K/yr

... Meta, Google, Bing, TikTok, Reddit), with clear accountability for CAC, ROAS, and revenue growth * Drive creative strategy as a core growth lever: lead high-volume testing, iteration, and ...

Director of User Acquisition

Seattle, WA · On-site

$180K - $225K/yr

... Meta, Google, emerging platforms), with clear accountability for CAC, ROAS, and revenue growth * Lead creative strategy as a core growth lever-drive high-volume testing, iteration, and optimization ...

Diversify our acquisition mix beyond Meta, identifying, testing, and scaling new platforms and channels to build a more resilient, multi-channel growth engine * Build and manage a UGC/creator content ...

Develop and execute social media strategy across theSchool'schannels, including Meta, LinkedIn, and ... testing, and reporting on published content. (In November 2026, the UW will be migrating from ...

... Meta, and Scale AI, as well as former YC founders * Help build a massive, rapidly growing business ... Probe dual-use boundaries by testing how models respond to queries that combine legitimate security ...

Develop and execute social media strategy across the School's channels, including Meta, LinkedIn ... testing, and reporting on published content. (In November 2026, the UW will be migrating from ...

Showing results 21-40

Meta Testing information

See Spanaway, WA salary details

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How much do meta testing jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for meta testing in Spanaway, WA is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $23.32 per hour, depending on experience, location, and employer.

What is meta testing?

Meta Testing refers to the process of evaluating the effectiveness and reliability of testing methods or testing frameworks themselves, rather than the product or software being tested. This can involve analyzing test strategies, tools, or methodologies to ensure they deliver accurate and meaningful results. Meta Testing helps organizations optimize their quality assurance processes by identifying gaps or inefficiencies in their testing approaches. It is particularly useful in complex or large-scale software projects where testing practices need continual improvement.

What are the key skills and qualifications needed to thrive as a meta tester?

To thrive as a Meta Tester, you need a solid understanding of software testing principles, attention to detail, and experience with quality assurance methodologies, typically supported by a degree in computer science or a related field. Familiarity with test management tools, bug tracking systems like Jira, and automation frameworks such as Selenium is commonly required. Strong analytical thinking, effective communication, and problem-solving skills help Meta Testers collaborate with development teams and identify user experience issues. These skills ensure that software products meet quality standards and function reliably for end users.

What are some common challenges faced by professionals working in meta testing, and how can they be addressed?

Professionals in Meta Testing often encounter challenges such as rapidly evolving testing frameworks, ensuring compatibility across multiple platforms, and maintaining clear communication with cross-functional teams. Staying current with the latest testing tools and methodologies is crucial, as is developing strong documentation skills to track test cases and results. Regular collaboration with developers and product managers helps to clarify requirements and quickly resolve issues, fostering a more efficient and supportive work environment.

What is the difference between Meta Testing vs QA Tester?

AspectMeta TestingQA Tester
Primary FocusEvaluating the testing process, tools, and strategies used in software developmentExecuting test cases to identify bugs and ensure software quality
Required SkillsTesting methodologies, process improvement, understanding of testing toolsTest execution, defect reporting, attention to detail
Work EnvironmentOften involved in test planning, process audits, and team coordinationHands-on testing in development or QA teams
CertificationsISTQB, CSTE often preferredISTQB, CSQA beneficial but not mandatory

Meta Testing focuses on improving and evaluating testing processes, while QA Testers are responsible for executing tests and finding bugs. Both roles require similar certifications and work in the software quality industry, but their core responsibilities differ significantly.

What are popular job titles related to Meta Testing jobs in Spanaway, WA?

For Meta Testing jobs in Spanaway, WA, the most frequently searched job titles are:

What cities near Spanaway, WA are hiring for Meta Testing jobs?

Cities near Spanaway, WA with the most Meta Testing job openings:

Infographic showing various Meta Testing job openings in Spanaway, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,182 per year, or $21.7 per hour.

Competitive Intelligence Lead

Meta

Seattle, WA • On-site

$177K/yr

Full-time

Re-posted 26 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

As a Competitive Intelligence Lead in Meta’s Competitive Intelligence organization, you will operate at the intersection of advanced analytics, data science, and market strategy. You will lead major projects and product areas—often in environments of significant ambiguity or technical complexity—driving both technical and business outcomes. This is a hands-on, high-impact role for builders who thrive on solving real problems. This role demands a unique blend of analytical and statistical expertise, strategic thinking , and the ability to translate complex insights into impactful product and business decisions. You will be recognized as a thought partner by cross-functional leads and will help shape the analytical foundations that inform how we build and grow our products.
Competitive Intelligence Lead Responsibilities:
  • Market Strategy: Influence organization-level product direction through data-driven narratives and an in depth understanding of the market landscape. Demonstrated experience operating at scale, and across ambiguous, environments with working knowledge of econometrics. As a quantitative market-strategist, you will blend practical and applied understanding with technical expertise, including pressure-testing data for quality, reliability, understanding data-biases and being solution driven
  • Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that informs market and business strategy. These include, but are not limited to:
  • Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets to determine their signal-to-noise ratio and predictive power
  • Data triangulation: Triangulate data from many sources of imperfect information. Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods
  • Data transformation: Apply quasi-experimental designs (e.g., synthetic control, diff-in-diff) to isolate the impact of exogenous market shocks and competitor actions on internal performance metrics, using 3rd-party behavioral and economic datasets
  • Insight and implications: Apply guidance from such analyses to increase the accuracy of forecasts and better understand market trends
  • Technical & Methodological Expertise: Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices that raise the bar for the entire team
  • Data Governance & Quality: Ensure data privacy, security, and compliance with organizational standards. Champion data quality frameworks and documentation practices that enable credible reproducible analyses
  • Resourceful, adaptable professional with a bias for action

Minimum Qualifications:
  • Bachelors degree and a minimum of 6 years of work experience (minimum of 4 years with a Ph.D.) in business intelligence, product analytics, or economic or strategy consulting in a technology environment with increasing scope and impact
  • Demonstrated skill to ethically source, validate, and synthesize high-signal insights from people (e.g., stakeholder interviews, skilled conversations, field research, and relationship-based information gathering) while maintaining high standards for privacy, consent, and integrity
  • Proficiency in AI-powered tools: Demonstrate working knowledge of Generative AI technologies (e.g., LLM and AI agents) and experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analyses, synthesize insights, and execute multi-step analytical tasks (e.g., prompting agent to clean datasets, build visualizations)
  • Practical working understanding of data-analytics tools, and direct experience managing, analyzing, manipulating and interpreting 1P and external 3P datasets
  • Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
  • Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian aggregation (e.g., bayesian pooling, hierarchical modeling)
  • Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders
  • Demonstrated experience thriving in ambiguous environments and shape new analytics organizations or products

Preferred Qualifications:
  • Master's or Ph.D. Degree in a quantitative field such as Quantitative Economics or Political Science, Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$177,000/year to $247,000/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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