About the role

Senior Technical Program Manager leading frontier AI labs and data operations. Overseeing quality control and custom engineering for AI models in cutting-edge research.

Responsibilities

Lead the end-to-end execution of high-priority technical programs for frontier AI labs, managing the delivery of massive-scale datasets and bespoke engineering milestones.
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.
Partner with production to implement rigorous, automated, and human-in-the-loop QC frameworks to ensure data integrity across various domains and languages.
Lead technical workstreams 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.
Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human-feedback loops are optimized for model alignment and performance.
Serve as the primary technical point of contact for AI researchers and engineers at partner labs, translating complex research needs into actionable engineering roadmaps.
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 signaling.
Scale & Quality: Demonstrated ability to manage "high-throughput" programs 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 requirements can shift based on the latest research breakthroughs.

Competitive salary and benefits package
Opportunity to work with cutting-edge AI technology in a rapidly growing industry
A dynamic and collaborative work environment
Significant opportunities for professional growth and development
The chance to make a real impact on global communication and business