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LILT AI

Production Strategist

LILT AI, Boston, Massachusetts, us, 02298

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About LILT AI is changing how the world communicates — and LILT is leading that transformation. We are on a mission to

make the world’s information accessible to everyone , regardless of the language they speak. Using cutting‑edge

AI, machine translation, and human‑in‑the‑loop

expertise, we translate content faster, more accurately, and more cost‑effectively without compromising brand, voice, or quality.

Our team empowers 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; Quicker than they expect; Quality is Job 1 —guide everything we do. We are trusted by Intel, Canva, the U.S. Department of Defense, the U.S. Air Force, ASICS, and hundreds of global enterprises.

The Production Team at LILT LILT’s Production Team is a global workforce operating across four continents. It spans project management, customer onboarding & program management, quality, and talent management, working with some of the world’s largest organizations.

What You’ll Do As a Strategist on the Data Services team, you will provide expertise, consultation, and best practice approaches to LILT partners and customers, helping them successfully launch and scale complex data annotation and AI training programs. You will collaborate with customer stakeholders and internal teams—solutions architects, engineers, product managers, annotators, quality specialists, and project managers—to design and maintain an optimal program‑management framework for high‑quality data delivery.

Key Responsibilities

Consult with enterprise customers to understand their data needs for AI/ML projects 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 (annotators, 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 of related experience managing enterprise‑level localization programs for large technology companies.

Customer onboarding experience.

Ability to develop and lead large‑scale localization programs autonomously and by 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, meticulous attention to detail, and multitasking ability.

Analytical and organized problem‑solving abilities.

Ability to meet deadlines and work under pressure.

Benefits

Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays.

Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and commuter benefits. LILT also pays for basic life insurance, short‑term disability, and long‑term disability.

Paid parental leave is provided after 6 months.

Monthly lifestyle benefit stipend via the Fringe platform allows employees to customize benefits to their lifestyle.

Our Story Our founders, Spence and John, met at Google working on Google Translate. They both researched language technology at Stanford and Berkeley with the goal of making translation accessible to all enterprise products. After realizing the shortcomings of Google Translate for enterprise use, they founded LILT in 2015. LILT has since become a machine‑learning company focused on building high‑quality translation services powered by large language models, human‑in‑the‑loop systems, and agentic AI.

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 such as Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation.

Human‑in‑the‑loop reviews via a global network of professional linguists for high‑impact content that requires expert review.

LILT in the News

Featured in The Software Report’s Top 100 Software Companies.

Listed on the Inc. 5000 List for the first time.

Holding numerous patents that power the most efficient and sophisticated AI and language models in the industry.

Information collected and processed as part of your application process, including any job applications you 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 and automated tools to assist in evaluating applications, including résumé screening, assessment scoring, and interview analysis. These tools support human decision‑making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have concerns, require accommodations, or want to opt‑out of AI use 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.

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