Why This Job is Featured on The SaaS Jobs
This Technical Program Manager role stands out for its proximity to the infrastructure layer that often differentiates advanced SaaS and AI products: reliable, repeatable data pipelines and operational systems. While the work is anchored in robotics, the core challenge is building production-grade programs that connect research needs to measurable delivery, a pattern increasingly common as software companies expand into data-centric, system-integrated products. The remote setup also signals a modern operating model for coordinating complex delivery across distributed stakeholders.
From a SaaS career perspective, the role builds durable program leadership skills around scalability, instrumentation, and service-level thinking. Owning roadmaps, defining metrics, and translating ambiguous requirements into stable workflows mirrors how SaaS organizations mature from ad hoc execution to platform reliability. Experience aligning engineering, operations, and infrastructure around throughput, quality, and risk management transfers well to platform TPM, data platform operations, and technical operations leadership roles across SaaS environments.
This position is best suited to professionals who prefer structured execution in high-ambiguity domains and who are comfortable acting as the connective tissue between teams with different incentives. It fits someone who enjoys turning experimental work into standardized systems, and who values clear mechanisms for tracking progress, surfacing risk early, and improving reliability over time.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About Team
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. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.
About the Role
We’re looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition 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.
In this role you will:
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.
You might thrive in this role if you:
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
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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