# Lead Technical Program Manager

**Company:** [Origin](https://hotfix.jobs/companies/origin-tech)
**Location:** Bengaluru, India
**Role:** Technical Program Management
**Experience:** 8+ years
**Skills:** Okrs, Asana, Technical Program Management, Robotics, Autonomous Systems, Hardware Manufacturing, Embedded Systems, Mechanical Engineering, Electrical Engineering, Simulation, Quality Assurance, Bill Of Materials, Design Management, Field Operations
**Posted:** 2026-09-11

> Leads cross-functional technical programs spanning autonomy, hardware, and field operations, establishing delivery cadence, dependency management, OKRs, and issue resolution. Requires 8+ years of technical or engineering program management experience with hardware or robotics programs.

## Job Description

## Responsibilities
- Define and run the company-wide OKR system, tracking and reporting key results weekly.
- Own cross-team dependencies and the critical path across autonomy, hardware, and field operations.
- Drive autonomy programs spanning data, model development, simulation, and QA.
- Drive hardware programs across design, manufacturing, assembly, and validation.
- Own triage and closure of field issues from deployed units, focusing on time to resolution.
- Maintain delivery visibility across Asana and the hardware design tracking system.
- Build the weekly delivery cadence and reporting that supports executive coordination.

## Requirements
- Bachelor's or master's degree in engineering, computer science, a related field, or an MBA.
- 8+ years of technical program or engineering program management experience, including hardware or robotics programs.
- Experience leading cross-functional programs involving mechanical, electrical, embedded, and autonomy teams.
- Fluency in autonomy delivery and hardware processes including long lead times, BOMs, design freezes, and manufacturing dependencies.
- Strong systems thinking and ability to build a program function from the ground up.
- Excellent written communication and judgment about escalation.
- Ability to work effectively in a fast-paced startup environment.

## Nice-to-haves
- Experience in robotics, autonomous systems, or another Physical AI domain.
- Hands-on exposure to hardware manufacturing and assembly at an early-stage company.

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