Job Location - UAE

The Role

Turing is expanding into Physical AI. We are establishing a dedicated data operation to fuel the next generation of robotics foundational models.

We are looking for a Product Lead - Data Operations, Robotics to lead the build of our proprietary Physical AI Data Platform. You will manage an engineering team to build a new, enterprise-grade data ingestion and labeling platform designed specifically for robotics & physical AI.

You will sit at the intersection of Product Management, Engineering Management, and Service Delivery and will leverage a strong technical architecture & software engineering background to manage the technical roadmap, while simultaneously running the operations that utilize the tool to deliver datasets to customers.

Key Responsibilities

1. Technical Product Management

• Own the Roadmap: Define the vision and feature set for our internal Robotics Data Platform. This tool must handle complex multimodal data types specific to robotics datasets..

• Engineering Management: Act as the Product Owner for a dedicated team of software engineers. Translate business requirements into technical user stories, manage sprint priorities, and ensure the infrastructure is scalable and secure.

• UX & Workflow Design: Design the interfaces to maximize efficiency for human annotators working on complex tasks.

2. Infrastructure & Pipeline Strategy

• Pipeline Architecture: Define the requirements for high-volume data ingestion pipelines. You will direct the engineering team on how to architect systems that ingest raw data from disparate sources and prepare it for the labeling platform.

• Quality Control Systems: Spec out automated programmatic QA features to be built into the tool, reducing the reliance on manual review.

3. Solution Design & Customer Requirements

• Technical Translation: Participating in discussions with leading robotics labs and foundation model builders. Translate their high-level objectives into data collection protocols and platform feature requirements.

• Feasibility Analysis: Assess whether customer requirements can be met with current tooling or if new engineering features need to be prioritized.

4. Operations & Delivery Management

• Project Execution: Once the tool is operational, you are responsible for the project management of the actual data delivery. You will own the timeline, budget, and final quality output.

• Workforce Management: Define the profiles for and manage the recruitment of specialized annotators and reviewers.

• Dataset Delivery: Ensure final datasets are exported in the exact formats required by the customer.

Who you are?

• 7-10 Years of Relevant Experience: We are looking for a seasoned professional who has seen the full product lifecycle multiple times. Ideally 3-5 years in hands-on Software Engineering followed by 3-5 years in Product Management or Technical Program Management.
  
  
• Technical Pedigree: A background in Computer Science or Software Engineering is non-negotiable. You have past hands-on experience with Python, Cloud Infrastructure (AWS/GCP), and Computer Vision pipelines. You understand the "how" even if you are no longer the one coding.
• Product Experience: Proven experience moving from individual contributor (IC) engineering to Product Management or Technical Program Management. You have successfully managed engineering teams and shipped complex software products.
  
  
• Physical AI/Robotics Context: You understand the unique data requirements for training robotics foundational models. You are familiar with concepts like 6-DoF, kinematics, depth sensing, spatial reasoning, grasping points, and simulation (Sim2Real).
  
  
• Operational Rigor: You are not just a product manager; you are an operator who can take responsibility for managing timelines, teams, budgets, and ensuring high-quality delivery under pressure.