Technical Program Manager, Public Sector Engineering

Scale AI Scale AI · Data AI · New York, NY +1 · Public Sector Engineering

Technical Program Manager to drive execution of enterprise-grade generative AI solutions for the U.S. government's national security missions, focusing on integrating engineering roadmaps, customer delivery, and security constraints for deployments in complex, isolated environments.

What you'd actually do

  1. Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization.
  2. Take on Scale’s difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges.
  3. Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints.
  4. Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success.
  5. Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships.

Skills

Required

  • Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives.
  • Experience in project management, including planning, organizing, and managing resources.
  • A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment.
  • Experience in security and compliance, with a focus on cross-departmental collaboration.
  • Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments.
  • Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP).
  • Experience in a high growth, fast-paced technology company.
  • An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes.

Nice to have

  • Experience in microservice design and Kubernetes-based container orchestration.
  • Experience applying AI or Machine Learning.
  • Strong analytical skills, with experience using data analysis tools or software.
  • Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams.
  • Backlog refinement & roadmapping experience with tools like Linear and JIRA.
  • Proven experience translating complex SOW requirements into tactical engineering deliverables
  • Experience maintaining alignment with organizational capacity planning and delivery timelines.
  • Background in Software, Security, or System Engineering.

What the JD emphasized

  • Current or past Security Clearance
  • delivering secure and reliable solutions within classified, isolated, and air-gapped environments
  • Transition AI/ML technologies and processes into working Public Sector products/solutions even when requirements are undefined or ambiguous