Turing is expanding into Physical AI and needs a Product Lead, Robotics Data Operations to lead the build of their proprietary Physical AI Data Platform to fuel the next generation of robotics foundational models.
Requirements
- Past hands-on experience with Python, Cloud Infrastructure (AWS/GCP), and Computer Vision pipelines.
- Background in Computer Science or Software Engineering.
- Understanding of the unique data requirements for training robotics foundational models.
- Familiarity with concepts like 6-DoF, kinematics, depth sensing, spatial reasoning, grasping points, and simulation (Sim2Real).
- Experience with software engineering and product management or technical program management.
- Proven experience moving from individual contributor (IC) engineering to Product Management or Technical Program Management.
- Experience managing engineering teams and shipping complex software products.
Responsibilities
- Own the Roadmap: Define the vision and feature set for our internal Robotics Data Platform.
- Engineering Management: Act as the Product Owner for a dedicated team of software engineers.
- UX & Workflow Design: Design the interfaces to maximize efficiency for human annotators working on complex tasks.
- Pipeline Architecture: Define the requirements for high-volume data ingestion pipelines.
- Quality Control Systems: Spec out automated programmatic QA features to be built into the tool.
- Technical Translation: Participating in discussions with leading robotics labs and foundation model builders.
- Feasibility Analysis: Assess whether customer requirements can be met with current tooling or if new engineering features need to be prioritized.
Other
- 7-10 Years of Relevant Experience.
- Operational Rigor: Ability to manage timelines, teams, budgets, and ensure high-quality delivery under pressure.
- Client-first mindset: Put clients at the center of everything.
- Ability to work at Start-Up Speed: Move fast, stay agile and favor action.
- Degree requirements: Bachelor's degree or higher in a relevant field (not explicitly stated but implied).
