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Technical Program Manager, Digital Test & Evaluation

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Advanced Automation
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR
Job Description & How to Apply Below
DELIVERABLES/SERVICES REQUIRED
  • Lead and manage Digital T&E prototype efforts from problem definition and market research through technical diligence, pilot execution, user evaluation, and transition.
  • Translate military T&E workflows, capability claims, operational needs, and program decisions into software requirements, user stories, integration requirements, acceptance criteria, and measurable pilot outcomes.
  • Design and evaluate end-to-end T&E workflows that connect requirements, mission and systems engineering, modeling and simulation, test planning, test execution, test data collection, analysis, reporting, and decision support.
  • Apply working knowledge of test strategy and design to help teams define Measures of Performance (MoPs), Measures of Effectiveness (MoEs), test objectives, data requirements, evidence thresholds, and the appropriate mix of modeling and simulation, laboratory, cyber, and physical-range testing.
  • Serve as a technical integrator across Digital T&E tool categories including mission engineering, systems engineering / MBSE, Dev Sec Ops  and CI/CD, modeling and simulation, detailed test planning, risk management, test execution, test-data monitoring, test management, analysis, visualization, reporting, and data governance.
  • Develop and validate digital-thread concepts that allow authoritative data and artifacts to flow between engineering, test, and assessment tools without unnecessary manual re-entry or duplication.
  • Coordinate integration of commercial software into defense RDT&E infrastructure, including government and commercial cloud, edge environments, RDT&E networks, and classified/unclassified enclaves, while accounting for cybersecurity, identity and access management, data protection, interoperability, and accreditation requirements.
  • Identify and resolve technical barriers associated with APIs, data schemas, metadata, containerization, software deployment, network connectivity, data federation, tool interoperability, and integration with existing systems of record.
  • Work with Government test organizations, program offices, users, data owners, security teams, software vendors, and infrastructure providers to establish realistic pilot architectures and execution plans.
  • Conduct technical due diligence of commercial software and emerging T&E technologies, assessing product maturity, architectural fit, interoperability, security posture, data rights, scalability, user experience, and potential to improve T&E outcomes.
  • Create and lead collaborative teams of Government and commercial entities to prototype, integrate, test, and evaluate commercial Digital T&E solutions in operationally relevant environments.
  • Develop executive-level briefs, test concepts, pilot plans, integration roadmaps, decision memos, and other technically sound documentation that clearly communicates program status, risks, outcomes, and recommendations.

The incumbent has responsibility to design, lead, and manage prototype projects leveraging rapid and non-traditional acquisition authorities where appropriate. The incumbent will use a problem-centric approach to identify high-value T&E bottlenecks, evaluate commercial solutions, and structure pilots that generate measurable evidence on whether a capability improves speed, quality, interoperability, data reuse, or decision advantage.

The incumbent will also:

  • Participate in problem curation through engagement with test and evaluation organizations, program offices, ranges, laboratories, engineering organizations, weapon-system developers, operational users, infrastructure and cybersecurity stakeholders, and commercial companies.
  • Maintain awareness of commercial and research-grade developments in digital engineering, test automation, AI-enabled T&E, data engineering, simulation, digital twins, software assurance, and test-management technologies.
  • Support technical demonstrations and limited-user tests; develop success criteria and collect quantitative and qualitative evidence on user utility, technical performance, integration burden, and scalability.
  • Help define reusable T&E templates, reference workflows, data standards, and interoperability patterns that can scale beyond a single program or pilot.
  • Understand how acquisition, engineering, test, cybersecurity, network, and operational organizations interact, and translate their requirements into practical implementation paths for commercial vendors.
  • Identify dependencies and approval gates early, including cybersecurity/RMF, cloud and network…
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