Job description
About Us
LILT is the leading AI solution for enterprise translations. 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 Operations Team at LILT
LILT’s operations team focuses on onboarding and post-sales engineering for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements. Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Production teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together.
Where You’ll Work
This is a part time contract position based remotely out of Argentina or Taiwan.
Authorization to work in Argentina or Taiwan is a precondition of employment.
What You’ll Do
We’re looking for an experienced post-sales engineer with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once.
You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.
Key Responsibilities:
Debug, resolve, or escalate issues related to LILT’s Connector stack, file filters, and the Okapi Framework.
Assist with resolving customer pre- and post-processing challenges, including localization file prep.
Collaborate with production teams to implement technology-enabled workflows and set up LILT Connectors and file filters.
Continuously improve and suggest improvements to internal and customer localization engineering processes.
Document customer configurations and playbooks for common operating procedures.
Facilitate a feedback loop between customer needs and the engineering team.
Collaborate with colleagues across the company as the point-of-contact for the localization engineering team.
Meet Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) for customer engineering tasks.
Skills and Experience:
At least 3+ years of experience in a localization-engineering role
Understanding of XLIFF, TMX, TBX, and SRX formats (purpose, structure, specifications)
Familiarity with key localization terms (source, target, translation unit, etc.)
Knowledge of localization (l10n) and internationalization (i18n) best practices
Knowledge of common file formats (JSON, XML, HTML, CSV, PO, YAML, STRINGS, RESX, PROPERTIES) including syntax and escaping
Exposure to translation tools (TMX editors, alignment software, diffing software, OCR software)
Proficiency in RegEx for text processing tasks (pattern matching, extraction, manipulation)
Understanding of encoding standards and character sets
Familiarity with Okapi Framework (Rainbow, components, concepts)
Knowledge of localization platforms/technologies (CAT, TMS, TM, MT, LMS, CMS, LLM)
Coding skills (Python for scripting, Java for Okapi Framework)
Understanding of software development principles and APIs
Familiarity with version control systems (Git)
Excellent communication and interpersonal skills
Problem-solving skills and ability to analyze issues
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. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.
At its core, LILT has always been a machine learning company since its incorporation on March 6, 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, believing that this foundation was imperative to the future of enterprise translation.
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.
