Senior Technical Program Manager, Applied AI

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.

As a Senior TPM of Applied AI, you will sit at the intersection of cutting‑edge research and industrial‑scale execution. You will be responsible for leading complex programmes that provide the "fuel" for AI models: high‑quality, high‑volume data and bespoke engineering deliverables. You aren't just managing timelines; you are architecting the workflows that ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex sourced data available.

• Frontier Lab Program Management:
  Lead the end‑to‑end execution of high‑priority technical programmes for frontier AI labs, managing the delivery of massive‑scale datasets and bespoke engineering milestones.
• High‑Volume Data Operations:
  Architect and oversee pipelines for delivering high‑volume data samples across multiple modalities (text, image, video, audio), ensuring strict adherence to delivery cadences without sacrificing precision.
• End‑to‑End Quality Control:
  Partner with production to implement rigorous, automated, and human‑in‑the‑loop QC frameworks to ensure data integrity across various domains and languages.
• Bespoke FDE Deliverables:
  Lead technical work streams to deliver custom research and engineering improvements via the forward‑deployed engineers, such as RAG (Retrieval‑Augmented Generation) workflow optimizations, model evaluations, and synthetic data generation.
• RL & Environment Management:
  Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human‑feedback loops are optimised for model alignment and performance.
• Technical Consultation:
  Serve as the primary technical point of contact for AI researchers and engineers at partner labs, translating complex research needs into actionable engineering roadmaps.
• Cross‑Functional Leadership:
  Bridge the gap between forward‑deployed engineering resources, research, and production teams to ensure LILT can serve the needs of the frontier AI market.

• Education:
  
  B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience. Equivalently, a Ph.D. with 5+ years of experience in a high‑growth AI/Engineering environment.
• Frontier AI Expertise:
  Proven track record of managing data pipelines for LLMs or multimodal models. Deep understanding of training, inference, and the nuances of data diversity (multilingual and multi‑domain).
• Technical Depth:
  Hands‑on experience with RAG architectures, vector databases, and agentic workflows. Familiarity with Reinforcement Learning (RLHF/RLAIF) environments and preference signalling.
• Scale & Quality:
  Demonstrated ability to manage "high‑throughput" programmes where quality control is mission‑critical. You should have experience with automated validation at scale.
• Strategic Execution:
  Strong business acumen and the ability to manage high‑stakes stakeholder relationships with frontier AI labs.
• Operational Excellence:
  Expert‑level understanding of software integration (RESTful APIs, cloud infrastructure) and the ability to troubleshoot complex technical bottlenecks in real‑time.
• Adaptability:
  Ability to thrive in a "frontier" environment where…