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Technical Program Lead, Public Sector

Scale AI· Public Sector
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Hybrid (Washington, DC)$187.2k - $234kfull-timePosted 4w ago

About the role

Lead technical delivery for Scale's Public Sector program, building AI-enabled planning and decision-support capabilities for major Department of War commands. Manage a team of Technical Program Managers and own the technical shape of what is shipped, while translating stakeholder needs into delivery decisions and driving innovation for public sector AI/ML solutions.

Responsibilities

  • Lead and mentor a team of Technical Program Managers who own the program's key technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users
  • Own the technical shape of what we deliver: whether we are combining Scale's products in the right way, extending them in the right way for this program, and being deliberate about what genuinely warrants a bespoke build
  • Plan and sequence releases alongside engineering, anticipating technical risk early and putting engineering trade-offs in terms stakeholders can decide on
  • Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute against
  • Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers
  • Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions
  • Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space
  • Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous
  • Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains
  • Set the technical direction for a cross-functional team of engineers, operations, and delivery staff to exceed the customer's AI/ML objectives
  • Manage the long-term health of the customer base by identifying and preempting areas of risk or concern
  • Build with an eye toward reuse, identifying where program work can generalize into durable capability and surfacing it to Product, while holding the line on the program's technical delivery goals
  • Address engineering problems alongside the product development teams

Qualifications

  • An active TS/SCI clearance
  • 7+ years of experience succeeding in stakeholder management or customer-facing role
  • Experience leading or mentoring other program managers, engineers, or technical staff
  • Demonstrated ownership of the technical delivery of a complex, multi-workstream program with senior government or enterprise stakeholders
  • Technical background (education or professional experience with CS, Economics, Statistics, Engineering)
  • Deep understanding of ML operations process
  • Working knowledge of software delivery pipelines and DevOps principles
  • A track record of structured, analytics-driven problem-solving
  • Excellent verbal and written communication skills
  • Willingness to travel: 25–50% (typically 1–2 weeks per month on-site with CONUS and OCONUS customers)

Skills

Required:Stakeholder managementTechnical program managementTechnical leadershipML operationsDevOps

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • a commuter stipend (additional benefits may apply)
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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