---
title: 'Director of Quality at LILT'
canonical: 'https://feeny.ai/job/director-of-quality-lilt-london-6hjc9q6qesd9'
type: 'job'
last_seen: '2026-10-21'
---

# Director of Quality at LILT

- **Company:** LILT
- **Location:** London, United Kingdom
- **Compensation:** £86k–£105k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-21
- **Apply:** https://jobs.ashbyhq.com/lilt-corporate/9a0f6884-f71d-41cb-9bc4-8eb15c12d69c

## Job description

## 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](https://www.linkedin.com/company/intel-corporation/),[Canva](https://www.linkedin.com/company/canva/), the[United States Department of Defense](https://www.linkedin.com/company/deptofdefense/), the[United States Air Force](https://www.linkedin.com/company/united-states-air-force/),[ASICS](https://www.linkedin.com/company/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, EMEA or US Eastern time zone Team: Production, Quality Reports to: VP Production Direct reports: Quality Manager (AMER, customer staffing) and 2 Quality Coordinators

## About the role

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 shipping an improved agent evaluation. 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 SME and operator with real depth in both worlds: experience designing and building AI agents and improving LLM output, and a solid grounding in traditional quality management. You'll bring senior expertise in data, AI, customer advisory and process, and make sure quality work prevents recurrence rather than stopping at rework or ticket closure.

## What you'll do

Quality Agent leadership

- Evaluate, design and build reliable Quality Agents with well-defined tools and clear, structured instructions.
- Use orchestration patterns to evolve from a single agent to multi-agent systems.
- Define evaluation criteria, test sets and success metrics for agent performance, and run agents in production with clear monitoring and escalation paths.
- Drive adoption across teams and show measurable reductions in manual quality effort.

Research and Product partnership

- Work closely with Research and Product on ADQ, LLM model improvements, AI Review, AI QA, and new and emerging AI workflows.
- Turn quality findings into product requirements, evaluation criteria and continuous feedback loops that improve model and workflow output.
- Act as the voice of quality in roadmap discussions, and help decide where human review, AI review or both are needed.

Audit, compliance and procedure

- Own LILT's approach to internal and external audits, including ISO certification (e.g. ISO 17100, ISO 18587, ISO 9001) and customer audits.
- Plan and run periodic internal audits, manage evidence collection, and track corrective and preventive actions to closure.
- Standardise and maintain SOPs, workflows and quality documentation, and keep them current as AI workflows change how we work.
- Make sure quality processes meet customer, contractual and regulatory requirements.

Customer advisory

- Partner with Customer Success and Delivery to define proactive quality programmes, success metrics and governance for strategic accounts, including AI-forward enterprise and life science / regulatory programmes.
- Translate customer quality requirements into clear pre-delivery acceptance criteria, validation methods and risk-appropriate controls.
- Advise customers on the right quality, cost and speed mix and where automated, agent-verified, human-verified or combined workflows are appropriate.
- Represent LILT's quality function as a credible subject-matter authority in customer business reviews, audits and escalations, using quality data and metrics to demonstrate fitness for purpose.

Continuous improvement

- Lead structured CI across the Commercial business: root cause analysis, corrective and preventive actions, KPI reviews and retrospectives.
- Own a proactive quality metrics framework that makes errors, PQs, 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.

Expert Operations partnership

- Partner with Expert Supply and Ops to embed processes, guidance and quality feedback that maintain a high-quality pipeline of experts.
- Use quality findings and recurring failure patterns to improve expert qualification, guidance and ongoing quality management.

## Team leadership

- Lead and develop the Quality team, including the customer-facing Quality Manager and Quality Coordinators.
- Establish the team's operating cadence and evolve how the team works as Quality Agents reduce manual coordination work.
- Oversee embedded Quality Manager staffing sold as a service to customers, ensuring the role owns the specific quality programmes and initiatives those customers pay for.
- Develop playbooks for AI-driven quality management and keep staffing-as-a-service delivery aligned with LILT's quality standards.

## What you'll bring

Must have

- Agent design and build: demonstrable, hands-on experience designing, building and running LLM-based agents in production. Please be ready to walk us through agents you have built.
- Data-driven quality management: scripting or data skills (e.g. Python, SQL), with experience turning quality data into actionable metrics, preventive controls and measurable improvements.
- LLM model improvement: proven experience improving LLM output quality.
- Significant experience running quality systems, including leading audits (internal and external), compliance programmes, and writing and maintaining processes and procedures. Quality certifications such as Six Sigma are a plus.
- Experience leading structured CI (RCA, CAPA, KPI reviews).
- Experience managing and developing people.
- Customer advisory and cross-functional partnership: a clear communicator who can translate customer quality requirements into acceptance criteria and governance, advise on quality, cost and speed trade-offs, and work credibly with customers, executives and technical teams.

## Nice to have

- Background in localisation, translation or language services.
- Experience in customer-facing quality roles for enterprise accounts.
- Research and Product collaboration: a track record of working with research scientists and product managers to turn quality insight into product requirements and shipped improvements.

Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.

Our Tech What sets our platform apart:

- Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
- Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
- 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
- Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

LILT in the News

- Featured in [The Software Report’s](https://www.thesoftwarereport.com/the-top-100-software-companies-of-2024/) Top 100 Software Companies!
- LILT makes it onto the [Inc. 5000 List](https://labs.lilt.com/lilt-listed-on-the-2024-inc-5000).
- LILT’s continues to be an intellectual powerhouse, holding [numerous patents](https://patents.justia.com/inventor/john-sturdy-denero) that help power the most efficient and sophisticated AI and language models in the industry.
- Check out [all our news on our website](https://lilt.com/news).

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

## About LILT

## Company Overview
- **One-liner**: LILT provides an enterprise AI translation platform that combines custom and bring-your-own AI models with human domain experts to enable multilingual content production at scale.
- **Entity Type**: Private (Series C, $140M+ total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: March 2015
- **Founders**: Spence Green (Co-founder & CEO), John DeNero (Co-founder & Chief Scientist)

## Core Business
- Primary industry/industries: Enterprise AI Translation, Localization, Language Technology, Agentic AI
- Target customers: B2B – large enterprises, public sector / government, and AI/ML teams (Fortune 100, U.S. Department of Defense, Intel, Lenovo, Canva, National Weather Service)
- Mission or purpose statement: “Make the world’s information available to everyone, no matter the language they speak.”

## Products & Services
- **LILT Contextual AI Platform**: End-to-end platform for training custom translation models, automating workflows, and ensuring quality. Supports BYO AI models (Gemini, GPT, Claude, etc.) and integrates with 100+ business systems via API/MCP.
- **Agentic AI Translation**: Autonomous agents that handle multilingual content for product launches, technical documentation, regulatory compliance, marketing campaigns, and critical public service alerts.
- **Domain Expert Network**: 40+ specialized domains (legal, medical, tech, etc.) with human experts (not freelance) to verify and enhance AI output, ensuring brand consistency and accuracy.
- **Enterprise Governance & Analytics**: Real-time admin tools for workflow management, user permissions, budgets, and program data – deployed in on-premise, air-gapped, and multi-cloud environments.
- **Security Certifications**: SOC 2® Type II, ISO 9001, ISO 17100; trusted by regulated industries (financial services, healthcare, defense).

## Market Standing
- **Valuation / Funding**: $140M+ total funding (as of Series C); valuation not publicly disclosed
- **Key Metric**: Total funding amount ($140M+) – revenue is not publicly available (private company)
- **Notable Investors / Partners**: Backed by leading AI, ML, NLP, and enterprise software investors (specific names not listed in provided sources). Partners include Intel, Lenovo, Canva, U.S. Department of Defense, National Weather Service.
- **Growth Signals**: Cost reduction of 40–50% for customers (Intel, Canva); 60% faster delivery timelines (Lenovo); 25M+ people receiving life-saving weather alerts; 100+ languages supported; continuous hiring across AI research, engineering, and operations.

## Competitive Advantages
- **PhD-led AI research team** with over a decade of focus on multilingual generative AI and Large Language Models (founded by former Google Translate researchers from Stanford/Berkeley).
- **Continuous model improvement** via real-time human-AI interaction retraining, ensuring the system gets smarter with every translation.
- **Defense-grade trust & enterprise governance** – deployed in air-gapped/on-premise environments for the most security-conscious organizations (DoD, Fortune 100).
- **Specialized human expertise** across 40+ domains – not just general freelancers – ensuring accuracy for regulated and technical content.
- **100+ native integrations** and multi-cloud support, enabling self-serve scaling without operational burden.

## Strategic Focus
- **Agentic AI for multilingual use cases** – expanding autonomous agents that can handle end-to-end localization workflows.
- **AI model customization & interoperability** – enabling enterprises to bring their own models (BYO AI) and to evaluate/audit agent performance.
- **Continued investment in generative LLMs** as the foundation for enterprise translation, with a focus on quality, compliance, and speed.
- **Public sector growth** – delivering critical public service information faster through agentic AI.

## Why Work Here
- **Culture & Values**: “Quality is Job #1”, “Work Together, Win Together”, “Find a Way or Make One”, “Dance in the Customer’s Shoes”, “Quicker Than Expected”.
- **Work Policy**: Headquarters in San Francisco with offices worldwide; flexible/remote options implied by “Global by Design” and “Flexible Time Off”.
- **Benefits**:
  - Full healthcare coverage (medical, dental, vision)
  - 401K matching (U.S.)
  - Competitive compensation + top-market equity
  - Flexible Time Off and Parental Leave
  - Professional development via LILT University (activities cultivating learning, knowledge, growth)
- **Engineering / AI Culture**: Opportunity to work on frontier multilingual AI with a PhD-led research team; roles posted include AI Researcher / ML Engineer (ASR & Speech Specialist) across multiple U.S. cities.

## Sources
1. [lilt.com – About LILT](https://lilt.com/company)
2. [lilt.com – Enterprise AI Translation Platform](https://lilt.com/)
3. [lilt.com – Careers](https://lilt.com/careers)
4. [jobs.ashbyhq.com – LILT Jobs](https://jobs.ashbyhq.com/lilt-corporate)
5. [linkedin.com – LILT AI](https://www.linkedin.com/company/lilthq)

## Other roles at LILT

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