Product Lead, Robotics Data Operations

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

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, Robotics Data Operations 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