Senior Technical Program Manager, Applied AI

LILT•Boston, MA
•$142,800 - $178,500•Hybrid

About The Position

The Senior Technical Program Manager of Applied AI operates at the intersection of cutting-edge research and industrial-scale execution, leading complex benchmark transformations and data deliverables. The role calls for an entrepreneurial mindset and proactive ownership of customer success, including architecting workflows that provide accurate, diverse, and complex data for training next-generation LLMs and multimodal models, and championing innovative solutions with research lab partners. The position leads high-priority technical programs for frontier AI labs from end to end, including massive-scale dataset delivery and bespoke engineering milestones. It also oversees high-volume data pipelines across text, image, video, and audio modalities, and partners with production teams on automated and human-in-the-loop quality-control frameworks. The role connects forward-deployed engineering, research, and production teams to serve the frontier AI market. The role is based in LILT’s London office and is hybrid; Boston and Indianapolis are also acceptable locations. London is highly preferred, with Berlin and New York also listed as possible locations. Authorization to work in the U.S. is a precondition of employment.

Requirements

  • B.S. or M.S. in Computer Science, AI, or a related technical field and 10+ years of industry experience; alternatively, a Ph.D. and 5+ years of experience in a high-growth AI or engineering environment.
  • Experience founding or scaling a venture, or working in an early-stage startup while driving business growth and strategic initiatives.
  • Strong business acumen and ability to manage high-stakes stakeholder relationships with frontier AI labs.
  • Proven experience managing data pipelines for LLMs or multimodal models, with a deep understanding of training, inference, multilingual and multi-domain data diversity.
  • Demonstrated ability to manage high-throughput programs where quality control is mission-critical, including experience with automated validation at scale.

Nice To Haves

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

Responsibilities

  • Proactively propose and co-develop benchmark transcreations with research lab partners, aligning deliverables with their research objectives.
  • Lead end-to-end execution of high-priority technical programs for frontier AI labs, managing large-scale dataset deliveries and bespoke engineering milestones.
  • Architect and oversee high-volume data pipelines across text, image, video, and audio modalities, meeting delivery cadences while maintaining precision.
  • Partner with production teams to implement rigorous automated and human-in-the-loop quality-control frameworks that protect data integrity across domains and languages.
  • Coordinate forward-deployed engineering, research, and production teams to meet the needs of the frontier AI market.

Benefits

  • Competitive salary and benefits package.
  • Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
  • Dynamic and collaborative work environment.
  • Significant opportunities for professional growth and development.
  • Opportunity to make an impact on global communication and business.
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