Strategic Projects Lead, Public Sector - Cyber

Responsibilities

• Develop, build, and maintain operations infrastructure for efficient, scalable, high-quality data-labeling pipelines.
• Own day-to-day progress on high-priority data-production pipelines.
• Partner with Machine Learning and Go-to-Market teams to scope customer engagements through taxonomy design and technical feasibility validation.
• Influence cross-organizational collaboration on human-data strategy, data quality, scalability, and platform leverage.
• Manage project-level COGS through workforce planning, tooling decisions, and process optimization.
• Partner with subject-matter experts to validate data quality and translate domain knowledge into scalable processes and measurable outcomes.
• Work with customers to understand requirements and design data taxonomies that optimize model performance.
• Use analytics and data-visualization tools to track progress, identify bottlenecks, and optimize pipeline performance.
• Assume ownership of increasingly large components of data-delivery processes and high-impact customer pipelines.

Requirements

• Active Top Secret security clearance.
• 2–3 years of experience in product development, data science, or operations.
• Successful project-management experience and comfort with ambiguity.
• Ability to analyze complex operational data, build queries, identify trends, and optimize processes.
• Technical aptitude with post-training techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and reinforcement learning with verifiable rewards (RLVR).

Nice to Have

• Experience in defense technology and/or an AI company.
• Technical degree in computer science, data science, engineering, or a related field.
• Deep understanding of machine-learning operations for generative-AI workflows and products.

Compensation and Benefits

• Base salary range: $139,200–$174,000 USD for Washington, DC.
• Compensation may include base salary, equity, and benefits.
• Benefits include health, dental, and vision coverage; retirement benefits; a learning and development stipend; generous paid time off; and potentially a commuter stipend.