Senior Staff TPM: AI Platform & Infra (Remote)

Y99000 General Electric Company; Evendale (OH); Remote; USD 131,000 - 189,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company matching

Paid time off

Job summary

GE Aerospace is seeking a Senior Staff Technical Program Manager–Infrastructure and Platform to lead an AI enablement team within the defense systems business. You will oversee end-to-end program execution, champion a golden-path delivery pipeline, and drive cross-team alignment for scalable AI deployments.

The role focuses on strategic backlog, cadence management, and adoption of standardized work, with emphasis on responsible, measurable AI outcomes.

Qualifications

• Minimum 5 years of professional experience in Technical Program Management or IT.
• Military experience is equivalent to professional experience.
• Eligibility to work in the United States required.

Responsibilities

• Own the platform product backlog and intake processes from request, prioritization to release.
• Translate the Director's roadmap into a resourced plan with dates and ownership.
• Run daily management, WOR and MOR cadence for the platform team and ensure plan remains green.
• Drive adoption of the golden-path delivery pipeline across four product-development teams.
• Coordinate onboarding of teams onto shared services and the paved road with clear entry criteria.
• Manage dependencies between platform, product and architecture teams with transparent intake criteria.
• Define and maintain standard work for platform intake, change, and release.
• Instrument and report delivery metrics including DORA and feed into operating rhythm.

Skills

Technical Program Management

IT experience

Military experience equivalent

Education

Bachelor's degree

Associate's degree

High School Diploma

Job description

GE Aerospace is seeking a Senior Staff Technical Program Manager–Infrastructure and Platform to lead an AI enablement team within the defense systems business. You will oversee end-to-end program execution, champion a golden-path delivery pipeline, and drive cross-team alignment for scalable AI deployments.

The role focuses on strategic backlog, cadence management, and adoption of standardized work, with emphasis on responsible, measurable AI outcomes.