LILT

Senior Technical Program Manager, Applied AI

Washington D.C · Senior

Sponsorship not specifiedDetected 52 days ago

PythonGitMachine LearningPyTorchData EngineeringLLMsAgentic AISalesforceWebflowResearchLeadershipCommunicationCollaboration

About the role

As a Senior TPM of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution.
You are responsible for leading complex benchmark transformations and data deliverables.
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.

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.
So they set out to build something better.
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation

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.
You should have experience with automated validation at scale.
B.S or M.S. in Computer Science, AI, or a related technical field with 10+ years of industry experience.
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.
Entrepreneurial Mindset: Experience founding or scaling a venture, or operating in an early-stage startup environment where you drove business growth and strategic initiatives from the ground up.
Strategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labs.
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).
Scale & Quality: Demonstrated ability to manage "high-throughput" programs where quality control is mission-critical. You should have experience with automated validation at scale.

Fluency in multiple human languages.
Proficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.).
AI is changing how the world communicates - and LILT is leading that transformation.

Competitive salary and benefits package.
LILT has been a machine learning company since its founding in 2015.
You will operate with an entrepreneurial mindset, effectively acting as the CEO of your customer's business to proactively drive success.

Our founders, Spence and John met at Google working on Google Translate.
As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone.
While together at Google, they were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company.The quality just wasn't there.
LILT was born.
At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap.
While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT's journey is just beginning.
What sets our platform apart:
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

This listing is sourced directly from LILT's careers page and normalized into a canonical job model.