Senior Technical Program Manager - Autonomy Stack Lead

applied; Sunnyvale (CA); Hybrid; USD 179,000 - 284,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401k with employer match

Learning stipends

Wellness stipends

Paid time off

Job summary

Applied Intuition is seeking a Senior Technical Program Manager to own performance and release for the autonomy stack spanning L2+ passenger vehicle, L4 truck, and mining vehicle programs. You’ll sit at the center of the stack’s engineering leadership, turning system health into release decisions and coordinating those releases across downstream teams.

This role requires a background in autonomy, robotics, or ML, and 3+ years of TPM experience with the ability to switch context as priorities

Qualifications

• Background in autonomy, robotics, or ML.
• 3+ years of experience in technical program management, engineering, or a related field.
• Ability to context switch effectively across multiple projects.
• Willing to operate without a fixed lane; adapt to product calls, analysis, or dashboards as needed.

Responsibilities

• Define and own how we measure and forecast stack reliability for leadership visibility.
• Drive the stack release cycle end to end; coordinate across Core team and downstream projects.
• Identify key projects to improve driving performance with engineering leads.
• Build reporting to give engineering and customer-facing teams a clear view of performance and release status.

Skills

Autonomy / robotics / ML

Technical program management

Context switching

Decision making

Job description

Applied Intuition is seeking a Senior Technical Program Manager to own performance and release for the autonomy stack spanning L2+ passenger vehicle, L4 truck, and mining vehicle programs. You’ll sit at the center of the stack’s engineering leadership, turning system health into release decisions and coordinating those releases across downstream teams.

This role requires a background in autonomy, robotics, or ML, and 3+ years of TPM experience with the ability to switch context as priorities