Senior Technical Program Manager (Applied AI)

Lilt

United States

Vor Ort

USD 150.000 - 190.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Lilt in the United States seeks a Senior Technical Program Manager of Applied AI to bridge research and industrial-scale execution. You will act with an entrepreneurial mindset, effectively acting as the CEO of your customer’s business to drive success and co-develop benchmark transcreations with research lab partners.

You will lead frontier AI lab programs, manage massive-scale datasets across text, image, video, and audio, and implement robust QC frameworks with production teams to ensure data

Qualifikationen

  • 10+ years in AI/engineering program leadership and data pipeline management.
  • Experience delivering high-throughput benchmarks and QC at scale.
  • Strong collaboration with research labs and production teams.

Aufgaben

  • Lead end-to-end technical programs for frontier AI labs and datasets.
  • Architect data pipelines for multimodal data and benchmark transformations.
  • Collaborate with research labs, production teams, and engineering to deliver on objectives.
  • Establish automated and human-in-the-loop QC frameworks.

Kenntnisse

Program management
Cross-functional leadership
Benchmarking
Technical leadership
Multilingual data handling

Ausbildung

B.S. or M.S. in Computer Science, AI, or related field; Ph.D. with 5+ years acceptable

Tools

Python
PyTorch
LangChain

Jobbeschreibung

  • As a Senior Technical Program Manager of Applied AI, you will sit at the intersection of cutting-edge research and industrial-scale execution. You will operate with an entrepreneurial mindset, effectively acting as the CEO of your customer’s business to proactively drive success
  • You are responsible for leading complex benchmark transformations and data deliverables. Rather than just managing timelines, you are architecting workflows to ensure the next generation of LLMs and multimodal models are trained on the most accurate, diverse, and complex data available, while championing innovative solutions alongside our research lab partners
  • Entrepreneurial Benchmark Leadership: Act as the CEO of your customer’s business by proactively proposing and co-developing benchmark transcreations directly with research lab partners, ensuring our deliverables are innovative, tailored, and aligned with their core research objectives
  • 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
  • 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
Benefits
  • Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
  • Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
  • Paid parental leave is provided after 6 months
  • Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays

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 environmentScale & Quality: Demonstrated ability to manage high-throughput programs where quality control is mission-critical. You should have experience with automated validation at scaleEntrepreneurial 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 upStrategic Execution: Strong business acumen and the ability to manage high-stakes stakeholder relationships with frontier AI labsFrontier 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)Authorization to work in the U.S. is a precondition of employmentProficiency in Python and experience working with modern AI frameworks (PyTorch, LangChain, etc.)Fluency in multiple human languages

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