Senior Technical Program Manager, Applied AI

LILT

Senior Technical Program Manager driving Applied AI projects for high-impact clients. Overseeing data operations and quality control for advanced AI models.

Posted 6/1/2026full-timeWashington D.C. • Massachusetts, New York, Washington • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Frontier Lab Program Management: 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.
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 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.
RL & Environment Management: Oversee projects involving Reinforcement Learning (RL) environments, ensuring the infrastructure and human-feedback loops are optimized 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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesRAG architecturesvector databasesReinforcement Learningautomated validationhigh-throughput programsdata integritysynthetic data generationmodel evaluationsmultimodal models

Soft Skills

cross-functional leadershipstrategic executionadaptabilitybusiness acumenstakeholder managementtechnical consultationproblem-solvingcommunicationcollaborationproject management