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Meta Qa Jobs in California (NOW HIRING)

Meta

Quality Assurance Engineering Lead

Burlingame, CA · On-site

$163K - $224K/yr

Meta is seeking a Quality Assurance Test Engineer to drive product quality strategy across large-scale consumer and platform products. In this role, you will define and lead quality assurance ...

Meta

QA Engineering Lead

Menlo Park, CA · On-site

$113K/yr

Plan, develop, and execute test strategy across core Meta products and platforms * Lead quality assurance efforts that align with product objectives and develop scalable solutions * Help solve cross ...

Meta

QA Engineering Lead

Menlo Park, CA · On-site

$113K - $162K/yr

Degree must be completed prior to joining Meta • Bachelor's degree in Computer Science, Computer ... quality assurance and test engineering experience • Experience in Python, PHP, Java, C/C++ or ...

Meta

QA Engineering Lead

Menlo Park, CA · On-site

$138K - $191K/yr

Responsibilities Plan, develop and execute product quality strategies for Meta's products • ... A processes to optimize and scale testing within the product • Establish and drive the adoption ...

DYNA Robotics Inc

QA Lead, Robotics

Redwood City, CA · On-site

Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors. The Role Build and lead the QA function at Dyna across our full stack - cloud ...

Meta

QA Engineering Lead

Menlo Park, CA · On-site

We're looking for QA Engineering Leads to work on our core and business products (Instagram, Messenger, Facebook, GenAI, Growth, Engagement, Ads, Privac.

Meta

QA Engineering Lead

Menlo Park, CA · On-site

We're looking for QA Engineering Leads to work on our core and business products (Instagram, Messenger, Facebook, GenAI, Growth, Engagement, Ads, Privac.

Zip

Senior QA Engineer

San Francisco, CA · On-site

$157.25 - $194.25/hr

Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement ... Continuously improve QA processes, tooling, and documentation based on what's working and what isn ...

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Meta Qa information

What is a Meta QA?

Meta QA professionals are quality assurance specialists who focus on ensuring the accuracy, reliability, and effectiveness of metadata in digital systems or products. Their responsibilities include validating metadata structures, verifying data consistency, and testing metadata integration with various applications. Meta QA roles are essential in environments where metadata plays a key role, such as content management systems, digital libraries, and large-scale databases. They collaborate with developers, data architects, and content managers to ensure that metadata standards and protocols are properly implemented.

What skills and qualifications are needed to thrive as a Meta QA?

To thrive as a QA Analyst at Meta, you need a solid understanding of software testing methodologies, attention to detail, and a relevant degree such as computer science or information technology. Familiarity with test automation tools (like Selenium or Appium), bug tracking systems (such as JIRA), and scripting languages is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams set top performers apart in this role. These skills ensure the delivery of high-quality products by identifying issues early, streamlining development, and enhancing user experience.

What are common challenges faced by a Meta QA, and how can applicants prepare for them?

QA Engineers at Meta often work in fast-paced, cross-functional teams where rapid changes and new feature rollouts are frequent. One of the main challenges is keeping up with evolving technologies and ensuring test coverage for complex, large-scale systems. To prepare, applicants should be comfortable with automation tools, adaptable to shifting priorities, and proactive in communicating with developers and product managers. Emphasizing experience in automated testing and collaborative problem-solving will help applicants stand out.

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Meta Qa jobs near you
Infographic showing various Meta Qa job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 3% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

QA Engineering Lead, Product Quality Assurance

Menlo Park, CA

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$163K/yr

Full-time

Posted 9 days ago

Job description

Meta is seeking an experienced Quality Engineering Lead to shape the quality strategy for our core and business products (Instagram, Facebook, Meta AI, WhatsApp, Ads, Privacy). In this role, you will set the vision for product quality across engineering organizations and drive it through complex, ambiguous programs that span multiple teams and geographic locations, for products that serve billions of people worldwide. You will operate as a force multiplier, partnering with engineering, infrastructure, and product leaders to raise the bar on quality at Meta's scale, and influencing senior stakeholders across regions on high-impact decisions. If you enjoy solving quality challenges on products built with cutting-edge technology, we'd like to hear from you.
QA Engineering Lead, Product Quality Assurance Responsibilities:
  • Define and own the multi-year product quality strategy across one or more product organizations, influencing direction beyond your immediate team
  • Lead complex, cross-functional quality programs that span multiple products and geographic locations, driving alignment across time zones, partners, and priorities
  • Set the technical direction for the test strategy on business-critical, high-ambiguity initiatives to ensure product correctness and reliability before launch
  • Partner with engineering and infrastructure teams to drive scalable automation strategies that prevent regressions and ensure long-term product reliability
  • Identify systemic quality gaps and opportunities, and drive organization-wide adoption of processes, tooling, and a quality-driven engineering culture
  • Establish quality metrics and standards that measure test effectiveness, efficiency, and overall product quality
  • Assess non-functional product quality (including i18n, l10n, a11y, performance, and stress) in partnership with specialized teams and translate findings into directions for product teams
  • Mentor and grow quality and test engineers, raising the bar on quality practices across the organization
  • Engage and influence stakeholders at all levels, including senior leadership across geographies, to secure buy-in on critical quality decisions

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of quality engineering and/or test engineering experience
  • Experience leading quality strategies and complex programs across multiple teams and geographic locations, including distributed onsite and offshore teams
  • Experience with QA processes and methodologies, including planning, designing, and executing tests, and knowledge of performance and stress testing
  • Experience in implementing and maintaining quality test automation for both mobile and web applications
  • Experience coding in Python, PHP, Java, C/C++, or an equivalent programming language

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience defining scope, setting priorities, and driving progress on projects with incomplete or evolving requirements
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with industry-standard test automation tools and frameworks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience driving organization-wide quality initiatives and influencing engineering organizations at a large scale
  • Experience communicating with technical and non-technical stakeholders across all levels of the organization, including executive communications
  • Experience working across multiple cross-functional engineering teams globally, spanning time zones and cultures
  • Experiences leveraging data to improve product quality and drive measurable outcomes

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.
$163,000/year to $224,000/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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