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