Drimva

Lilt

Senior Technical Program Manager, Applied AI

$89K–$111K

London, UK +6 · Hybrid · Manager · Full-time · Posted Sep 4, 2026

Location
London, UK
Seattle, WA
Boston, MA
Berlin, Germany
Washington D.C.
Indianapolis, IN
New York, NY
Experience
10+ years of industry experience with a B.S. or M.S.; alternatively, 5+ years with a Ph.D. in a high-growth AI/Engineering environment.
Education
B.S. or M.S. in Computer Science, AI, or a related technical field; alternatively, a Ph.D.
Visa sponsorship
Authorization to work in the U.S. is a precondition of employment.

About the job

Leads technical programs and high-volume data delivery for frontier AI labs, coordinating benchmark development, multimodal pipelines, and quality controls for model training.

What you'll do

  • Co-develop benchmarks and manage end-to-end delivery of datasets and engineering milestones for frontier AI labs.
  • Architect data pipelines across text, image, video, and audio, maintaining delivery schedules and precision.
  • Coordinate engineering, research, and production teams and implement automated and human-in-the-loop quality control.

What they ask for

  • B.S. or M.S. in Computer Science, AI, or a related technical field, with 10+ years of industry experience; alternatively, a Ph.D. with 5+ years of experience in a high-growth AI/Engineering environment.
  • Experience founding or scaling a venture, or working in an early-stage startup while driving business growth and strategic initiatives.
  • Experience managing LLM or multimodal-model data pipelines, with understanding of training, inference, and multilingual and multi-domain data diversity.
  • Experience managing high-throughput programs with mission-critical quality control and automated validation at scale.

Nice to have

  • Fluency in multiple human languages.
  • Python and modern AI frameworks such as PyTorch or LangChain.

Pay

£88.8K – £111K (base salary)

Tools

LLMs, PyTorch, LangChain

AI focus

Manages data and benchmark programs that support training next-generation LLMs and multimodal models, including multilingual and multi-domain data and quality-control workflows.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)