--- title: 'Manager, Production - Applied AI at LILT' canonical: 'https://feeny.ai/job/manager-production-applied-ai-lilt-boston-s7vfj8jsnw5q' type: 'job' last_seen: '2026-09-09' --- # Manager, Production - Applied AI at LILT - **Company:** LILT - **Location:** Boston, MA - **Compensation:** $110k–$145k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/lilt-corporate/e6998ee7-48e3-4384-9ab5-82b4a08a74e1 ## 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 - PM Performance - Outcome: Every active program has accountable Project Manager(s), and every PM carries a workload within the agreed span. Programs hit on-time delivery and first-pass acceptance targets without escalation; each PM is reviewed monthly against a scorecard of throughput, quality, and cost-per-task. - PM Hiring, Onboarding, and Development - Outcome: PM pool capacity keeps pace with signed demand: new PMs are sourced, onboarded, and running their first program within the agreed ramp window, all programs start on time, and PM attrition is below threshold. - Quality Interventions Across Programs - Outcome: Quality dips are caught mid-program through QA loops and corrected via retraining of annotator pools or guideline updates. Repeated misses by a PM or annotator pool lead to documented remediation or replacement. Issues are proactively discovered. - Process Standardization & Software Improvements - Outcome: Programs launch from shared playbooks, guideline templates, and dashboard standards rather than being rebuilt per engagement. Every post-mortem produces documented improvements that lead directly into our custom software stack, and time from program handoff to first delivery declines quarter over quarter. - Escalation and Cross-Functional Interface - Outcome: Risks surface to Technical Program Managers early enough to be managed. Escalations between the PM pool, Quality, Talent, and Delivery are resolved within agreed timelines. ## QUALIFICATIONS - People management in AI data operations: 5+ years in AI/ML data operations or production, including 2+ years directly managing project managers or team leads in a distributed, multi-time-zone contractor environment. - LLM knowledge: Strong understanding of LLM training processes (pre-training, SFT, RLHF) and evaluation methodologies (human-in-the-loop, red teaming), and of what drives quality and throughput in annotation workflows. - KPI-driven management: Has run teams against throughput, quality (accuracy, IAA, gold-set), and cost-per-task targets; advanced proficiency with spreadsheets and dashboards, and able to use SQL to extract and analyze performance data. - Delivery track record: Has sustained on-time delivery and acceptance targets across multiple concurrent data collection or evaluation programs for enterprise or research lab customers. - Contractor workforce operations: Has hired, ramped, performance-managed, and offboarded hourly and freelance staff across regions and languages. - Methodology: Proven track record using Agile, Scrum, or Kanban to manage complex workflows across a portfolio of programs. - Communication: Writes clear, unambiguous guidelines and feedback for multilingual audiences and communicates status, risk, and tradeoffs crisply to leadership. ## PREFERRED SKILLS - Fluency in multiple human languages. - Experience with multilingual data deliveries (pre-training, SFT, RLHF, machine translation, multimodal, etc.), especially in rare-resource languages - Experience with data annotation platforms (e.g., Label Studio, SuperAnnotate) and project management tooling (e.g., Jira). - Background in ML engineering, computer science, or data science. ## 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) ## Other roles at LILT - [Senior Technical Program Manager, Applied AI](https://feeny.ai/job/senior-technical-program-manager-applied-ai-lilt-london-hwpn3jrrcd7x) — London, United Kingdom - [Senior Forward Deployed Engineer](https://feeny.ai/job/senior-forward-deployed-engineer-lilt-washington-5q6bvbfdh2fh) — Washington, DC - [Senior Quality Manager, Applied AI](https://feeny.ai/job/senior-quality-manager-applied-ai-lilt-boston-ngggkvz3b27a) — Boston, MA - [Head of People](https://feeny.ai/job/head-of-people-lilt-san-francisco-41rt1fc2s3pa) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-lilt-london-12x3gktv3s8m) — London, United Kingdom - [Account Development Representative (ADR)](https://feeny.ai/job/account-development-representative-adr-lilt-new-york-qe5pfxvyn0pk) — New York, NY