Genai Strategic Projects Lead (Ai)

TL;DR

GenAI Strategic Projects Lead (AI): Driving revenue and experimentation by owning high-impact projects related to Generative AI and Large Language Models for public sector customers with an accent on building data-labeling pipelines and operational processes. Focus on developing technology-driven approaches to improve the quality of training and evaluation datasets and partnering with machine learning experts.

Location: Must be based in Washington, DC

Salary: $169,100—$212,100 USD

Company

Scale's mission is to develop reliable AI systems for the world's most important decisions, providing high-quality data and full-stack technologies that power the world's leading models.

What you will do

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs.
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently.
• Partner with subject matter experts to validate the quality of data and translate deep domain knowledge into scalable processes and measurable outcomes.
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance.
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance.
• Influence cross-organizational collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage.

Requirements

• An active Top Secret security clearance
• 5+ years of experience in product development, data science, or operations.
• A history of successful project management and comfort in ambiguity.
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes.
• Technical aptitude to understand how to produce data for state-of-the-art post-training techniques.

Nice to have

• Experience working in defense tech and/or an AI company.
• A technical degree in fields like computer science, data science, or engineering.
• A deep understanding of ML operations for generative AI workflows / products.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits.
• A learning and development stipend.
• Generous PTO.