Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

Be the offset. We create asymmetric advantages with creativity and ingenuity.
What would it take? We challenge assumptions to deliver ambitious results.
It’s the people. Our team is our competitive advantage and we are better together.

BENEFITS & PERKS*

Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options
Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave
Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees
And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays
Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.

*Do not apply to fixed term and temporary roles

YOUR MISSION

The Technical Program Manager, System Data Analysis serves as a technical data integrator across subsystem and system-level test activities, transforming engineering, test, and mission data into accurate, actionable insights before and after test campaigns. This role is focused on technical data integration & analysis, supporting test planning and execution by defining data-analysis approaches, preparing pre-test and pre-mission data products, coordinating data needs across engineering and test teams, and ensuring that instrumentation, telemetry, and other data systems support test objectives. Following test execution, this role leads data processing, analysis, synthesis, and reporting to support test assessment, anomaly identification, and technical decision-making. This position works closely with engineering, test operations, systems engineering, modeling and simulation, program leadership, customers, and other external stakeholders. The successful candidate will combine strong technical data-analysis skills with the communication and organizational abilities required to coordinate across multiple teams, create clear test outbriefs, manage the data sets' integration across the program's various needs, and flow relevant datasets and insights to the modeling and simulation team.

What You’ll Own

Support data analysis across subsystem-, system-, ground-, and flight-test programs from pre-test planning through post-test assessment; develop analysis plans aligned with test objectives, requirements, success criteria, and expected system behavior.
Define data products, processing workflows, analysis methods, and visualizations in coordination with engineering, test, instrumentation, telemetry, ground systems, and modeling and simulation teams.
Review test plans, procedures, instrumentation, telemetry, and data-acquisition approaches to ensure required data is available, usable, and traceable.
Perform data ingestion, conditioning, synchronization, reduction, validation, and analysis; analyze time-series, telemetry, instrumentation, and performance data.
Assess data quality, completeness, calibration, consistency, and traceability; compare measured results with requirements, predictions, simulations, reference cases, and expected system performance.
Identify and support the characterization, triage, and resolution of anomalies, discrepancies, and unexpected system behavior.
Synthesize data across multiple subsystems and test sources to develop system-level conclusions; flow relevant datasets, assumptions, lessons learned, and insights to modeling and simulation teams.
Create technically rigorous test reports and executive-ready outbriefs for engineering teams, leadership, customers, and external stakeholders; translate complex findings into clear conclusions, visuals, recommendations, and follow-up actions.