Production strategist

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; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, 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.

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.

The Production Team at LILT

LILT’s Production Team is a global workforce, operating across four continents. We are passionate about localization and making information accessible to all. The Team spans project management, customer onboarding and program management, quality, and talent management, working with some of the world’s largest organizations.

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

What You’ll Do

Come join our Data Services team! As a Strategist, 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 a range of customer stakeholders and internal teams—including 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.


As a senior team member, you will be responsible for stakeholder management, risk management, process design, and performance tracking across large-scale accounts. You will drive improvements in data workflows, tooling, and quality systems to meet customer KPIs and SLAs, and identify opportunities for efficiency and scale.

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’ 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

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. In addition, LILT 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 to allow employees to customize benefits to their lifestyle

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.

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 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

• Featured in The Software Report’s Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List.

• LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website.

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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 [email protected].

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.