Key Responsibilities
- Consult with Enterprise customers in the Technology field to understand their data needs and align on KPIs (e.g., data quality, turnaround time, throughput) and SLAs.
- Lead implementation of processes and systems to meet customer requirements—including data collection, annotation workflows, quality control, billing, and delivery.
- Ensure effective application of standardized procedures to annotation and labeling workflows.
- Manage program risks by identifying potential delivery or quality issues early, communicating clearly with stakeholders, and defining mitigation plans.
- Lead new customer onboarding, ensuring accelerated “time to first dataset” delivery.
- Scope and price new data services, including proposing SLAs for annotation speed, accuracy, and quality review cycles.
- Provide real-time support in-region for customers on critical data operations and strategic initiatives.
- Drive continuous improvement, including remediating quality issues, improving tooling, or refining annotation guidelines.
- Track and measure account performance against KPIs, such as:
- Dataset Quality (accuracy, consistency)
- Delivery Timelines (turnaround, throughput)
- Customer SLAs (coverage, responsiveness)
- Issue Resolution Time
- Direct and prioritize tasks for production resources (DTP, QA, project managers) to meet and exceed KPIs.
- Report internally and externally on data services metrics, highlighting trends and proactively addressing shortfalls with action plans.
- Communicate seamlessly with customer contacts, annotation teams, engineers, and internal stakeholders.
- Lead root cause analysis and corrective actions for escalations.
- Conduct post-mortems on key initiatives, sharing findings and learnings to improve future data operations.
Skills And Experience
- 8+ years’ related experience managing Enterprise-level localization programs for large Technology companies
- Customer onboarding experience
- Able to to develop and lead large-scale localization programs both autonomously and through mobilizing a team of resources
- Experience in Risk Management, RCA and CAPA procedures as they apply to Enterprise programs
- Excellent client-facing and internal communication skills
- Solid organizational skills including meticulous attention to detail and multitasking skills
- Analytical and organized problem solving abilities
- Able to meet deadlines and work under pressure
Our StoryOur 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 TechWhat 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
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.
