Director of Quality
- Market p25–p75
- £83k–£165k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +1,6547% of open
- All other
- 624,482open
About LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Dance in the customer's shoes; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
Location: Remote or hybrid, UK or US Eastern time zone
Team: Production, Quality
Reports to: SVP Operations
Direct reports: Quality Managers, Quality Coordinators
About the role
At LILT, quality is a judgment call. Two expert translations can differ and both be right, and what "good" means depends on each customer's voice, audience and risk. This role is about managing that kind of quality at scale, across AI, language models, and human verification.
As Director of Quality, you will own LILT's quality system end to end: standards, audit, compliance, procedures, continuous improvement, and the roadmap and operation of our Quality Agents. You'll help move Quality from a primarily reactive, execution-led function to a proactive, data-driven partner for customers and internal teams, with quality designed into our AI-native workflows.
You'll be the person who can run a customer audit while simultaneously improving how our AI quality checks perform. As the single Quality partner for Customer Success, Production, Research and Product, you'll turn customer requirements into measurable acceptance criteria, effective controls and better models and workflows. You'll advise customers on the right quality, cost and speed mix, including where automated, agent-verified and human-verified workflows are appropriate, with stronger assurance for high-risk and regulated content.
We're looking for a hands-on Quality leader with a solid grounding in quality management and experience putting AI to work on quality. You'll bring senior expertise in data, AI, customer advisory and process, and make sure quality work prevents recurrence rather than stopping at rework.
You might come from AI training data, legal review, clinical documentation, content moderation or customer experience quality. Localization experience is a bonus, not a requirement. This is a quality leadership role, not a software QA or test engineering role.
What you'll do
Continuous improvement
Lead structured CI across the Localization business: root cause analysis, corrective and preventive actions, KPI reviews and retrospectives.
Write and maintain quality guidelines and error typologies, and run regular calibration so reviewers, human and AI, apply them consistently.
Design sampling plans and quality scorecards that show customers and leadership how good our output really is.
Own a proactive quality metrics framework that makes errors, customer-reported quality issues, rework and trends visible, and use it to prioritise improvements and demonstrate outcomes.
Strengthen quality controls across review, delivery and follow-through, including mandatory account-specific checks, intervention on critical findings and clear escalation ownership.
Partner with Product and Engineering to automate checks and escalation, and verify that corrective actions prevent recurrence rather than ending at rework or ticket closure.
Quality measurement and management
Own how quality is measured across LILT: scoring methods, quality targets by account and content type, and the data behind them.