---
title: 'Senior Quality Manager, Applied AI at LILT'
canonical: 'https://feeny.ai/job/senior-quality-manager-applied-ai-lilt-boston-ngggkvz3b27a'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Quality Manager, Applied AI at LILT

- **Company:** LILT
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/lilt-corporate/af665065-48a9-4f63-b4b6-d914297971a7

## 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.

## KEY RESPONSIBILITIES

- Ensure Workflows Are Built for Quality
- Outcome: Every Applied AI deliverable ships with measured quality: rater agreement meets agreed thresholds per dimension, rubric scores are reproducible across raters, and reported quality figures hold up under customer audit.
- Own Technical Tooling & Quality Infrastructure
- Outcome: Quality metrics for every active program (defect rate, acceptance rate, rework, reviewer reliability, throughput, SLA adherence) are available without manual compilation, and systemic quality issues are detected from workflow data before a customer reports them.
- Own Operational Quality at Scale
- Outcome: Concurrent programs meet their quality targets within agreed cost and throughput. Acceptance rates hold at or above target, rework declines over time, and standard QC on standardized workflows is executed and interpreted by Production staff without Quality Manager involvement by the end of the second quarter in role.
- Delivery sign-off: Every deliverable has a documented go/no-go decision before shipping, based on programmatic QA and a readiness memo with flags. Post-sign-off quality escapes stay below an agreed threshold, and each escape results in a documented process change.
- Own Customer Quality Remediation
- Outcome: Customer quality disputes are closed with quantitative analysis, normally at first response. Re-adjudication completes within SLA, recurring defect classes decline release over release, and annotator integrity issues are detected internally before they reach a deliverable.

## QUALIFICATIONS

- Education: B.S./M.S. in a quantitative field (CS, Statistics, Data Science, Engineering, Linguistics, HCI) or equivalent practical experience.
- Applied AI / evaluation experience: 6+ years building or operating quality programs for ML/LLM systems (data labeling, benchmark creation, model evaluation, or human-in-the-loop pipelines).
- Quality systems leadership: Proven ability to design and run end-to-end quality frameworks (rubrics, sampling plans, QC gates, acceptance criteria, escalation paths) across multiple concurrent programs.
- Measurement & statistics: Strong grasp of reliability and agreement methods (e.g., Krippendorff’s α, Cohen’s κ), power/sample-size intuition, error analysis, and reporting for executive stakeholders.
- Rater/annotator operations: Experience with calibration, adjudication, targeted retraining, drift monitoring, and integrity/fraud detection in high-throughput human evaluation programs.
- Tooling & automation: Hands-on with labeling/eval tooling (e.g., Label Studio or similar) and designing deterministic validations; comfort partnering with engineering/research to implement quality instrumentation.
- Data governance: Strong understanding of dataset/version management, traceability, privacy/compliance constraints, and audit-ready documentation for deliverables.
- Stakeholder management: Excellent written and verbal communication; able to translate ambiguous research goals into measurable quality targets and negotiate tradeoffs with Applied AI, product, and external partners.

## PREFERRED SKILLS

- Fluency in multiple human languages.
- Proficiency in a programming language and experience working with modern AI frameworks.

## WHERE YOU’LL WORK

This position is based in our Boston office and will be expected to work in the office in a hybrid capacity. LILT is hybrid with hubs in SF, NY, Indianapolis, Boston, London, and Berlin.

Authorization to work in the U.S. is a precondition of employment.

- Boston (highly preferred)
- Others: SF Bay Area, New York, Indianapolis, London

## 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)

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