# Technical Program Manager, Robotics Data Acquisition

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Technical Program Management
**Salary:** $257k – $300k/yr
**Experience:** 5+ years
**Skills:** Robotics, Data Acquisition, Daq Systems, Hardware Integration, Software Integration, Data Pipelines, Systems Engineering, Program Management, Robotic Platforms, Sensors, Kubernetes, GCP
**Posted:** 2026-04-16

> Technical Program Manager owns and scales robotic data acquisition systems, driving cross-functional integration of hardware, software, and operations to deliver high-quality data for AI model training. Requires 5+ years in technical program management or systems engineering in robotics or hardware environments.

## Job Description

## Responsibilities

- **Own DAQ Program Delivery**: Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities.
- **Drive Cross-Functional Integration**: Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems.
- **Operationalize Data Collection Systems**: Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets.
- **System Readiness & Deployment**: Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites.
- **Program Execution & Risk Management**: Build and manage detailed program plans, identify risks early, and drive mitigation across technical and operational domains.
- **Capacity & Throughput Planning**: Model and plan DAQ capacity (stations, operators, uptime) to meet evolving data demands, balancing speed, cost, and quality.
- **Quality & Data Integrity Oversight**: Partner with engineering and data teams to define and enforce data quality standards, ensuring consistency and usability for downstream model training.
- **Continuous Improvement**: Drive improvements in system reliability, utilization, and efficiency through instrumentation, feedback loops, and process optimization.

## Requirements

- 5+ years of experience in technical program management, systems engineering, or operations in hardware, robotics, or infrastructure-heavy environments.
- Strong systems-level thinking across hardware, software, and operational workflows.
- Proven ability to lead complex, cross-functional programs with high ambiguity.
- Experience scaling physical systems (labs, factories, robotics fleets, or test infrastructure).
- Comfortable working close to hardware and debugging real-world system issues.
- Strong analytical skills; able to model capacity, throughput, and system performance.
- Excellent communication skills with the ability to align diverse stakeholders.

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