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Director, Quality Assurance

📅 Aug 20
Quality EngineeringAI-augmented TestingTest AutomationPlaywright
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📜 Description

  • Set an AI-native quality engineering strategy, including frameworks, maturity models, and tooling standards.
  • Lead the transition from manual testing to AI-augmented automation across web, mobile, and API.
  • Embed AI-powered quality gates and shift-left practices throughout design, development, integration, and release.
  • Establish governance, automation maturity models, and quality health metrics across teams and geographies.
  • Lead and develop 75+ QA professionals through QA Leads and Managers.
  • Represent quality engineering in client conversations and partner with business development and delivery leadership.

🛠️ Requirements

  • Experience leading and transforming globally distributed quality engineering organizations at scale.
  • Experience driving organization-wide transitions from manual to automated testing.
  • Fluency with modern automation tools such as Playwright, Cypress, or Appium, and familiarity with AI-powered testing tools such as Testim, Mabl, or Applitools.
  • Understanding of CI/CD integration, microservices architecture, and quality engineering across the SDLC.
  • Experience managing through leads and managers across countries and time zones.
  • Strong communication skills with technical teams, executives, and clients.
  • Agency or multi-client consultancy experience is a plus.
Full job description

Location: This position is hybrid in Bogotá, Colombia.

About Technology.

Technology at Huge is powered by a global practice of creative technologists—spanning Engineers, QA specialists, Business Analysts, Data Scientists, and ML Architects—we look beyond standard patterns to build resilient, enterprise-grade systems. We combine deep engineering rigor with innovation at the edge of agentic AI, modern data stacks, and cloud infrastructure. We don't wait for industry standards to set themselves; we engineer the intelligent systems that turn audacious strategic vision into production-ready reality.

The role.

Huge is looking for a Director, Quality Engineering to lead and evolve our globally distributed QA practice from our Bogota, Colombia office. In this role, you will help shape and grow a team of 75+ QA professionals across four countries, drive the transition from manual-heavy testing to AI-augmented quality engineering, and build the methodology and frameworks that make quality a continuous, intelligent capability woven across the full software development lifecycle.

What you'll be doing.

  • Define and advance an AI-native quality engineering strategy that treats quality as a continuous discipline, not a phase. Build the frameworks, maturity models, and tooling standards that make this real across four global offices.
  • Lead the shift from manual to AI-augmented automated testing across web, mobile, and API. Set direction on tooling selection, automation architecture, and what good looks like at scale.
  • Embed quality across the full SDLC. Partner with engineering, product, design, and BA leadership to introduce AI-powered quality gates and shift-left practices at design, development, integration, and release stages.
  • Design and socialize methodology and governance frameworks that create consistency across teams and geographies, including automation maturity models and quality health metrics.
  • Lead, coach, and develop a globally distributed team of 75+ QA engineers and professionals through QA Leads and Managers. Build a culture of craft, curiosity, and AI fluency.
  • Serve as a credible quality engineering voice in client conversations. Partner with business development and delivery leadership to position Huge's AI-native QE capability as a market differentiator.

What we'd like to see.

  • You have deep experience leading globally distributed quality engineering organizations at scale, with a track record of real transformation, not incremental improvement.
  • You have driven the shift from manual to automated testing at an organizational level, with a clear and defensible point of view on what AI-native quality engineering looks like.
  • You are fluent in modern automation tooling (Playwright, Cypress, Appium, or equivalent) and have hands-on familiarity with AI-powered test tools such as Testim, Mabl, or Applitools.
  • You understand CI/CD pipeline integration, microservices architecture, and how quality engineering fits into each stage of a modern SDLC.
  • You have managed through leads and managers across multiple countries and time zones, with the cross-cultural fluency to lead effectively in a distributed, relationship-oriented environment.
  • You communicate with equal credibility to an individual contributor and a C-suite executive, and you bring the same clarity to technical frameworks as you do to client conversations.
  • You are based in Bogota, Colombia, or willing to relocate. Agency or multi-client consultancy experience is a strong plus.

About Huge.

Huge is an independent, human-first AI-native design and technology company. We make things that matter by bringing AI, people, design and technology together as one system. With more than 1,000 design and technology experts working in hub cities around the world, including Bogotá, Chicago, Ho Chi Minh City, London, Los Angeles, Medellín, New York, San Francisco, and Washington, DC, we partner with some of the world’s most ambitious brands, including Google, NBCU, PepsiCo, Vail Resorts, Atlantic Health, and Candescent. Learn more at hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.


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If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/.

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