Agility Robotics
Senior Product Manager, Perception & World Understanding Skills
$186K–$242K
Hybrid- Fremont, CA +1 · Remote · Manager · Full-time · Posted Sep 16, 2026
- Location
- Hybrid- Fremont, CA
Remote, Oregon, United States - Experience
- 5+ years of Product Management or equivalent product leadership experience.
- Education
- Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical field; advanced degree strongly preferred.
- Visa sponsorship
- Applicants must have current authorization to work in the United States.
About the job
Leads product strategy and development for Digit’s perception and learned capabilities, taking them from requirements and evaluation through production deployment.
What you'll do
- Own the roadmap for perception and world-understanding capabilities and translate customer workflows into measurable requirements.
- Define performance metrics and evaluation strategies, and guide capabilities from research or prototypes to production readiness.
- Coordinate with technical and product teams on models, data, tooling, infrastructure, and cross-product dependencies.
What they ask for
- Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical field.
- 5+ years of Product Management or equivalent product leadership experience in robotics, autonomous systems, AI/ML, computer vision, or another deeply technical product environment.
- Strong understanding of machine learning, perception, robotics, autonomous systems, or related technical domains.
- Experience defining metrics, benchmarks, or evaluation frameworks for complex technical products.
Nice to have
- Advanced degree in a related technical field.
- Experience with computer vision, foundation models, reinforcement learning, imitation learning, learned policies, multimodal AI, manipulation, mobile robotics, simulation, or production deployment.
Pay
$186,000 — $242,000 USD (base salary)
Tools
machine learning, perception, computer vision, foundation models, reinforcement learning, imitation learning, simulation, synthetic data
AI focus
Product leadership for perception, world understanding, and learned robot capabilities, including defining metrics, evaluation, generalization, and production readiness.
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