Scale AI

Technical Program Manager (Homeland Layered Defense), Public Sector

Scale AI$166K — $249K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance required.
  • 5+ years in technical program management, software or systems engineering, or related role.
  • Strong technical understanding of software architecture, APIs, and system integration.
  • Proven ability to prepare actionable technical and product requirements for engineering teams.
  • Experience managing complex programs involving multiple engineering groups.
  • Familiarity with program management fundamentals including risks, schedules, and deliverables.
  • Comfort working in secure facilities with high-side networks.

Responsibilities

  • Lead technical execution for key national security missions from initial requirements through deployment.
  • Convert operational workflows into detailed Product Requirements Documents and Engineering Requirements Documents.
  • Collaborate with engineers on cycle planning to outline key project scopes and milestones.
  • Ensure comprehensive traceability of requirements from initial objectives to final deliverables.
  • Facilitate and manage Jira/GitLab processes for project execution and scheduling.
  • Identify and resolve technical blockers early, escalating critical risks as necessary.
  • Coordinate with subcontractors and external teams to define technical interfaces and deliverables.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • Learning and development stipend.
  • Generous paid time off (PTO).
  • Eligibility for commuter stipend.
Full Job Description
You will: • Own technical execution for one or more national security mission areas from initial requirement through deployment and formal evaluation • Translate operational workflows into detailed Product Requirements Documents (PRDs), Engineering Requirements Documents (ERDs), and executable engineering work • Work alongside engineers during cycle planning to define scope, sequencing, architecture constraints, dependencies, and milestones • Maintain end-to-end requirements traceability from customer objective to software build, test event, and formal deliverable • Drive Jira/GitLab execution and provide accurate inputs into integrated master schedules and program-level planning • Understand and manage data availability, system architecture, integration dependencies, and technical constraints across high-side networks • Identify technical blockers early, own their resolution, and immediately escalate critical risks when required • Partner with subcontractors and external engineering teams where applicable, defining interfaces, deliverables, handoffs, and accountability • Communicate technical progress, risks, tradeoffs, and decisions clearly to both engineering teams and senior customer stakeholders Must haves: • Active TS/SCI clearance • 5+ years of experience in technical program management, software engineering, systems engineering, product management, technical consulting, or a 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 that engineering teams can directly execute against • Experience driving complex technical programs across multiple engineering and stakeholder groups • Strong understanding of program management fundamentals, including requirements traceability, dependencies, risks, schedules, and deliverables • Ability to reason about data availability and software integration constraints in secure or highly regulated environments • Comfort working extensively inside secure facilities and air-gapped government systems • Willingness to travel 25-50% for onsite engagements, integration work, user testing, briefings, and formal evaluation events We have a diverse team with a variety of skill sets, many have: • A technical degree in computer science, engineering, mathematics, physics, data science, or a related field • Proficiency in Python, SQL, or another programming language • Prior experience as a software engineer, systems engineer, solutions architect, or technical product manager • Experience building or deploying AI/ML and agentic systems on classified networks Candidates may align to one or more of the following mission areas depending on background, customer need, and program assignment: 1. Indications & Warning (I&W) - Defense intelligence cycles, warning frameworks, JIOC/watch-floor operations, and multi-INT analysis 2. Dynamic Planning - Combatant Command decision-making, Joint Planning Process, homeland defense, and battle-staff operations 3. Non-Kinetic Effects Integration - Electromagnetic warfare, cyber, space, EMSO, and integration of non-kinetic effects into joint targeting 4. Modeling & Simulation - Constructive simulation, force-on-force analysis, synthetic data, and AI behavior representation 5. Sensor Orchestration - Sensor tasking, collection management, multi-INT strategies, and sensor-to-shooter workflows 6. Dynamic Agentic IAMD Planning - Integrated Air and Missile Defense, weapon-target pairing, threat profiles, ROE, and agentic defensive planning 7. Adversary Test Data Integration - High-side intelligence data sources, government repositories, security approvals, and data integration 8. Agentic RoL Track Trajectory Prediction - Multi-sensor track fusion, state estimation, trajectory prediction, and agentic analysis of real-time track data 9. Object Custody - F2T2EA targeting, target custody, sensor coverage, and partner/subcontractor integration 10. Cross-Domain Solutions (CDS) - Cross-domain data transfer, accreditation, Raise-the-Bar standards, and movement of AI/ML capabilities across security boundaries Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400-$249,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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