Head of Production, Applied AI
Listed on 2026-03-06
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IT/Tech
AI Engineer, Data Science Manager, Data Analyst
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.
We are seeking an experienced Head of Applied AI Production to lead and scale our multilingual Applied AI production operations. This strategic leadership role will be responsible for executing complex programs, building robust data operations, and scaling production operations. The ideal candidate will bridge the gap between technical requirements and operational excellence, ensuring high‑quality multilingual data production at scale.
Key Responsibilities- Define and execute the vision and strategy for Applied AI production operations.
- Translate business objectives into actionable data production strategies and roadmaps.
- Build scalable frameworks that balance speed‑to‑market with rigorous quality standards.
- Communicate value, progress, and strategic initiatives effectively to executive stakeholders.
- Lead end‑to‑end production operations for Applied AI, ensuring on‑time, high‑quality delivery.
- Design and implement standardized processes, workflows, and quality frameworks across production teams.
- Optimize resource allocation, prioritization, and capacity planning to maximize team productivity.
- Establish metrics and KPIs to measure operational efficiency, quality, and business impact.
- Drive continuous improvement initiatives and identify opportunities for innovation.
- Build, mentor, and scale a high‑performing production team, including project managers, data specialists, and quality assurance professionals.
- Foster a culture of excellence, accountability, and collaboration.
- Partner with cross‑functional leaders in Research, Engineering, and GTM to ensure alignment and effective collaboration.
- Ensure rigorous quality assurance processes are in place.
- Make strategic tooling and technology decisions to support scalability and efficiency.
- Implement risk management frameworks to minimize rework and delivery delays.
- Stay current with industry best practices and emerging trends in AI.
Required Qualifications
- 10+ years of experience in ML data production operations, program management, or related roles.
- 5+ years leading complex ML/AI data delivery programs at scale.
- Proven track record of scaling operations from small teams (5‑10) to enterprise‑level (50+).
- Experience managing multi‑million dollar budgets and P&L responsibility.
- History of successfully delivering complex, multi‑stakeholder programs on time and within budget.
- Deep understanding of AI/ML workflows, training data requirements, and quality standards.
- Expertise in data annotation, labeling, model benchmarking and evaluation, and data pipeline operations.
- Knowledge of data science, engineering principles, and linguistics as they apply to AI production.
- Experience with production tooling, platforms, and technologies for Applied AI operations.
- Exceptional leadership abilities with experience building and scaling high‑performing teams.
- Strong analytical and problem‑solving skills with a data‑driven decision‑making approach.
- Outstanding communication skills with the ability to influence stakeholders at all levels.
- Expertise in process optimization, change management, and operational excellence methodologies.
- Strategic thinking combined with…
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