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.

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-mortem on key initiatives, sharing findings and learnings to improve future data operations.

Skills and Experience:

• 8+ years’ related experience managing Enterprise-level programs

• Customer onboarding experience

• Able to to develop and lead large-scale programs both autonomously and through mobilizing a team of resources

• Experience in Risk Management, RCA and CAPA procedures as they apply to Enterprise programs