LILT in the News

• We were named to The Software Report’s fifth annual list of Software Companies! Click here to learn more and see the full list.

• LILT listed on the Inc. 5000 List for the first time.

• Check out all our news on our website. 

About Us

LILT is the leading AI solution for enterprise translation. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions.

The Production Team at LILT

The LILT Production Team is at the forefront of delivering high quality, AI-supported large-scale enterprise localization programs for some of the world’s largest organizations.  We work directly with our users and customers to tailor solutions and programs, to deliver scalable, intuitive, and high-performing solutions that facilitate seamless multilingual communication for businesses worldwide.

Working in LILT’s Production Team you will have access to leading tools, collaborative teammates, and opportunities to make a real impact.

Where You’ll Work

Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!

This position is based out of our Indianapolis, IN office and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.

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

What You’ll Do

We are seeking a highly motivated and experienced Senior Manager to lead and elevate our quality assurance processes. As a key member of the LILT Production leadership team, you will be responsible for implementing LILT’s transformative quality strategy that is AI and data driven. You will play a crucial role in ensuring the delivery of high-quality language services, both human and AI-generated, and driving continuous improvement across all aspects of our operations.

This role will provide crucial support, tools, and knowledge to ensure quality measures scale in line with company growth and business goals. This  includes, but is not limited to, addressing program quality design, specifically during onboarding; overseeing reoccurring and proactive quality audits performed by the team, overseeing the management of the retained resources for key languages

Key Responsibilities:

• Develop and Implement Quality Strategy: Design and execute a comprehensive quality assurance framework encompassing all stages of the language service lifecycle, from project initiation to final delivery, and beyond.

• Quality Scoring & Measurement: Establish and maintain robust quality scoring methodologies and metrics, including but not limited to MQM and other relevant frameworks.

• Human & Machine Translation Quality: Develop and implement specific quality assurance processes for both human and AI translation outputs, including post-editing quality assessment.

• Data-Driven Analysis: Utilize data analytics to identify quality trend