Manager, Production - Applied AI

• 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.

• 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.

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

• 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

• 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.

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.

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.