Group Product Manager, Physical AI & Robotics

Overview

Own the product roadmap for robotics data collection at TELUS Digital, covering capture applications, operator workflows, session management, review and QA, and customer delivery for Physical AI and robotics foundation models.

What you'll do

• Own the roadmap for robotics data collection, setting direction and driving execution across engineering, design, operations, quality, and solutions.
• Assess demand for new capture modalities, then define the collection model, hardware, and tooling.
• Work with engineering and design on the operator experience: onboarding, task guidance, in-session feedback, error states, review workflows.
• Build prototypes and write requirements and user stories that hold up under engineering review.
• Translate customer model requirements into collection designs, and evolving research into quality standards for egocentric data: pose accuracy, sync tolerance, occlusion handling, annotation schema, acceptance criteria.
• Spend time with collectors, session leads, and reviewers, and trace underperforming training data back to the capture design or tooling that produced it.
• Represent the product directly to hyperscaler and robotics foundation model teams, and bring their constraints back into the roadmap.
• Optimize for yield per session, rejection rate, cost per usable hour, capture-to-delivery time, and operator retention.
• Champion pilots as the default way to test a change: small cohort, clear hypothesis, fixed window.

What you'll need

• Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems) or equivalent experience.
• 8-12 years in product management, including at least 2 in robotics, physical AI, AR/VR, autonomous systems, or data collection at scale.
• Technical depth to hold a real conversation with a research team.
• Direct experience with one or more of: egocentric or wearable data capture, teleoperation systems, robot data pipelines, multi-sensor collection rigs or similar setups.
• Experience defining product vision and roadmaps in ambiguous, fast-moving environments.
• Hands-on robotics background: robotics, ML engineer on embodied models, teleoperation engineer, or similar.
• Experience managing distributed human operations, including crowd or contractor workforces.
• Have shipped something physical and understand calibration, sensor sync, and coordinate frames, and how they fail.

Nice to have

• Familiarity with imitation learning, VLA models, or manipulation policy training, and the data those methods need.
• Demonstrably curious, with side work projects to showcase.

Details

• Location: Bengaluru, India.
• Hybrid role: work from the Bengaluru office 2 to 3 times per week.