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Technical Program Manager (Homeland Layered Defense), Public Sector

Scale AI · Washington, DC

CHECKED 15H AGO

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At a glance

Highlights

  • Deliver agentic AI to orchestrate portfolio management for homeland defense.
  • Own technical execution for national security missions through deployment.
  • Manage data and integrations across high-side networks for critical missions.

What they offer

  • Base salary
  • Equity compensation
  • Benefits

Ideal candidate

A mission-driven technical leader who thrives going deep with engineers and customers in secure environments and cares about delivering AI that strengthens homeland defense.

Requirements

  • Active TS/SCI clearance
  • 5+ years in technical program management, software engineering, systems engineering, product management, technical consulting or related technical delivery role
  • Strong technical literacy across software architecture, APIs, data systems, system integration and AI/ML-enabled products
  • Ability to write detailed technical and product requirements for engineering execution
  • Experience driving complex technical programs across multiple engineering and stakeholder groups
  • Strong understanding of requirements traceability, dependencies, risks, schedules and deliverables
  • Ability to reason about data availability and integration constraints in secure or regulated environments
  • Comfort working extensively inside secure facilities and air-gapped government systems
  • Willingness to travel 25-50% for onsite engagements and evaluation events

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗