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Director Of Quality
Director Of QualityInvisible • San Antonio, TX, US
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Director Of Quality

Director Of Quality

Invisible • San Antonio, TX, US
[job_card.30_days_ago]
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  • [job_card.full_time]
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Director Of Quality

Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates / measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world's leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case.

Invisible makes AI work in the real world. In 2024, we reached $134M in revenue and were named the #2 fastest growing AI company on the Inc. 5000.

About The Role

As a company redefining operations through AI innovation, our ability to deliver consistently high-quality outcomes is at the core of the value we provide to clients. We are seeking a strategic and impact-driven Director of Quality to ensure that our AI training and multilingual data operations achieve the highest standards of accuracy, consistency, cultural relevance, and linguistic excellence.

In this role, you will serve as a quality guardian across enterprise delivery programs, overseeing human-in-the-loop (HITL) workflows, advanced multilingual data generation processes, and high-touch client services. You'll collaborate with some of the most influential organizations in generative AI and LLM development, ensuring precision, reliability, and trust at scale.

You will also lead the development of best practices, cross-team improvement projects, and reporting systems that highlight the overall health of client accounts through operational metrics, financials, and eNPS scoring. As the senior quality lead, you'll drive strategy and manage client relationships while developing and delivering Monthly Business Reviews (MBRs) with stakeholders and Quarterly Business Reviews (QBRs) with executive leadership.

As a leader of Quality Managers, you'll set strategy, establish development plans, and foster a culture of continuous improvement with support from the People Team. Success in this role means not only identifying issues but designing scalable systems and frameworks that prevent themdefining the standards that shape how human-generated data powers the AI models of tomorrow.

What You'll Do

  • Own the operational management of larger account(s) or portfolio of campaigns / projects, staffed with teams. Manage and evolve team design, manage ongoing capacity planning, internal talent strategy, hiring, and staffing.
  • Optimize for scale, efficiency, and quality across projects, e.g., ramping new campaigns, ramping over time, and tracking AHT, QA, and QA%
  • Lead client discovery, and identify & scope new opportunities / lines of business. Interface with senior stakeholders on the client side (acts with discretion or independence in leading discovery, managing escalations)
  • Develop reporting on the overall status of client account(s) using operational metrics, financials, and eNPS scoring
  • Set goals, objectives, and key results (OKRs), & development plans for the operations management team
  • Develop and lead Monthly Business Reviews (MBRs) with Sr. Stakeholders and Quarterly Business Reviews (QBRs) with VP of Ops (or Sr. Director) oversight

What We Need

  • Bachelor's degree in Operations Management, Engineering, Computer Science, Linguistics, or related field.
  • Proven expertise in language QA concepts and workflows, including linguistic quality assessment, cultural adaptation, and managing multilingual projects.
  • 5+ years of experience in quality assurance, service delivery, or operations, preferably in a tech, localization, or AI-focused environment.
  • Deep understanding of delivery and multilingual lifecycles, QA methodologies, and performance metrics.
  • Experience working in agile environments and using project management tools
  • Strong analytical skills with experience in data-driven decision-making.
  • Familiarity with AI / ML concepts and workflows is a strong plus.
  • What's In It For You

    Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

    For this position, the annual salary ranges by location are :

    Tier 1

    $195,000 - $217,000 USD

    Tier 2

    $177,000 - $197,600 USD

    Tier 3

    $159,000 - $177,000 USD

    An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.

    Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

    What It's Like to Work at Invisible :

    At Invisible, we're not just redefining workwe're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasksyou'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

    We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in.

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