- Location
- Santa Clara
- Type
- Full-time
- Department
- Engineering
- Seniority
- Manager
- Experience
- 2+ years
- Closing date
- Today
- Source
- CareersPage
Description
Technical Program Manager – Robotics AI Data Platform
Location: Santa Clara, CA
About the Company
We are building the data infrastructure powering the next generation of Embodied AI and robotics foundation models.
Our platform enables robotics companies and AI labs to access large-scale, high-quality multimodal training data through advanced data collection, simulation, annotation, and delivery systems.
The Role
We are looking for a Technical Program Manager who can own complex AI data projects from customer requirements through final delivery.
You will serve as the central coordinator between customers, engineering teams, data operations, and global teams to ensure successful execution of robotics data projects.
This role is ideal for someone who enjoys solving ambiguous problems, managing cross-functional teams, and building scalable processes in a fast-growing AI startup.
Responsibilities
Program Ownership
Own end-to-end delivery of robotics AI data projects.
Manage project scope, timeline, quality, and customer expectations.
Build project plans, milestones, and execution frameworks.
Technical Coordination
Translate customer AI model requirements into actionable data specifications.
Work with engineering, algorithm, and data teams to define solutions.
Understand data pipelines, sensor data, annotation workflows, and ML training requirements.
Quality & Operations Management
Establish project tracking systems and quality control processes.
Monitor production progress and identify execution risks.
Drive continuous improvement of data workflows.
Cross-functional Collaboration
Coordinate teams across US, China, and Southeast Asia.
Communicate project status and resolve operational challenges.
Build repeatable processes for scaling AI data delivery.
Qualifications
2-5 years of experience in Technical Program Management, Program Management, Operations, or Engineering Project Management.
Experience working with engineering teams and technical products.
Strong organizational and problem-solving skills.
Excellent communication skills in English.
Ability to manage multiple stakeholders in a fast-moving environment.
Preferred
Experience in AI, robotics, autonomous vehicles, cloud infrastructure, or data platforms.
Experience managing large-scale data operations.
Startup experience.
What We Offer
Competitive compensation package.
Opportunity to work directly with leading AI and robotics companies.
High ownership role with significant growth opportunities.
Build foundational infrastructure for the future of robotics.
JD 3：Forward Deployed Engineer – Robotics AI Data Solutions
Location: Santa Clara, CA
About the Company
We are developing next-generation AI infrastructure for robotics companies by providing high-quality multimodal data solutions for embodied intelligence.
Our mission is to accelerate the development of intelligent robots by solving one of the biggest challenges in AI today: scalable, high-quality training data.
The Role
We are looking for a Forward Deployed Engineer (FDE) who will act as the technical bridge between customers and our engineering teams.
You will work directly with robotics and AI teams to understand their data requirements, design solutions, generate customized datasets, and ensure successful deployment into customer workflows.
This role combines software engineering, AI data, robotics understanding, and customer collaboration.
Responsibilities
Customer Technical Engagement
Work directly with robotics and AI research teams to understand data requirements.
Translate customer needs into detailed technical specifications.
Support solution design and implementation.
Data Engineering & Production
Build scripts and tools for multimodal data processing.
Develop workflows for dataset generation, validation, and quality control.
Support large-scale data production pipelines.
Robotics AI Collaboration
Work with engineering and research teams on embodied AI data challenges.
Analyze dataset quality and provide feedback for model improvement.
Support continuous iteration between data generation and model performance.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Robotics, or related fields.
Strong Python programming skills.
Experience working with data pipelines, ML workflows, or software engineering.
Strong analytical and problem-solving ability.
Comfortable working directly with customers and technical teams.
Preferred
Experience with robotics, autonomous driving, computer vision, or AI infrastructure.
Knowledge of:3D geometry
Simulation tools (Isaac Sim, MuJoCo, PyBullet)
Multimodal data processing
ML training workflows
Experience in customer-facing technical roles.
What We Offer
Work on cutting-edge Embodied AI technology.
Direct collaboration with leading robotics companies and AI researchers.
High ownership role in a rapidly growing startup.
Competitive compensation and equity opportunities.
