# Strategic Projects Lead, Public Sector - Cyber

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** Washington, DC
**Role:** Technical Program Management
**Salary:** $139k – $174k/yr
**Experience:** 5+ years
**Skills:** data labeling, Project Management, Data Science, SQL, Data Analytics, Data Visualization, taxonomy design, machine learning operations, Generative AI, supervised fine-tuning, RLHF, rlvr, Prompt Engineering, Python, Reinforcement Learning
**Posted:** 2026-08-11

> Leads cross-functional public-sector AI data programs, building scalable labeling pipelines, designing customer taxonomies, optimizing operations, and managing program economics. Requires an active Top Secret clearance, project-management experience, analytical and technical aptitude, and familiarity with generative-AI post-training workflows.

## Job Description

## 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.

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