Technical Program Manager, Robotics Data Acquisition
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 β basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 β daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 β you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 β exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 3
Debugging @ 3
Robotics @ 3
Data Pipelines @ 3
- 1-2 β basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 β daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 β you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 β exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors.
About the role
Weβre looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition (DAQ) across our development and evaluation environments. This role sits at the intersection of robotics engineering, operations, and infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation. You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure.
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.
Location & workplace
- Primary location: San Francisco, United States.
- Workplace type: Hybrid.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
- 401(k) retirement plan with employer match.
- Paid parental leave and paid medical/caregiver leave.
- Flexible PTO for exempt employees and paid time off for non-exempt employees.
- 13+ paid company holidays and coordinated office closures.
- Mental health and wellness support; employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits (charitable donation matching, wellness stipends) and equity/bonus opportunities as part of total compensation.