Agility Robotics

Agility Robotics

Senior Product Manager, Perception & World Understanding Skills

Hybrid- Fremont, CA · Senior · Full-time

Sponsorship not specified$186k-$242kDetected 15 days ago
Machine LearningComputer VisionProduct ManagementProduct StrategyLogisticsSystems EngineeringRoboticsResearchLeadershipCommunication

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odds of building a lasting career here

56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is a highly technical product role at the intersection of robotics, artificial intelligence, perception, and real-world autonomous behavior.
  • 5+ years of Product Management or equivalent product leadership experience in robotics, autonomous systems, AI/ML, computer vision, or another deeply technical product environment.

Responsibilities

  • Drive capability maturity: Establish expectations for progressing capabilities from research or prototype stages through validation, productization, and production deployment.
  • Bridge AI technology and product needs: Partner with AI Models & Tools Product and Engineering teams to translate product capability needs into requirements for underlying models, datasets, training systems, tooling, and infrastructure.
  • Define evaluation strategy: Partner with Simulation, Systems, Engineering, and field teams to establish representative evaluation environments, test scenarios, datasets, and benchmarks for robot capability performance.
  • Manage cross-product dependencies: Coordinate requirements and roadmap dependencies across task skills, robot software, hardware, simulation, infrastructure, customer applications, and deployment systems.
  • Experience building products that must operate reliably under significant real-world variation.

Requirements

  • Strong understanding of the distinction between technology performance and production product readiness.
  • Experience with manipulation or mobile robotics.
  • Experience with simulation, synthetic data, evaluation infrastructure, or large-scale robotics datasets.
  • The role requires the ability to bridge emerging AI and robotics technologies with real product outcomes.
  • Demonstrated ability to work effectively with highly technical engineering and research teams.
  • Ability to evaluate technical trade-offs and communicate their product implications to both technical and non-technical audiences.
  • Demonstrated ability to operate across multiple teams and influence without relying on direct authority.
  • Experience with humanoid robots or mobile manipulation platforms.

Nice to have

  • Bachelor's degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical field.
  • Advanced degree strongly preferred.

Skills

  • Experience defining metrics, benchmarks, or evaluation frameworks for complex technical products.
  • Excellent written and verbal communication skills.

Compensation

  • The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience.

Benefits

  • Parental Leave: <span class="Ap
  • Strong understanding of machine learning, perception, robotics, autonomous systems, or related technical domains.
  • Experience with computer vision, foundation models, reinforcement learning, imitation learning, learned policies, or multimodal AI systems.
  • Experience taking machine learning or robotics capabilities from research through production deployment.

Company info

  • Agility Robotics is a pioneer. Our humanoid robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people.
  • Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive, and people's lives more fulfilling.
  • Agility Robotics is a pioneer.
  • Our humanoid robot, Digit, is the first to be sold into workplaces across the globe.
  • Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people.
  • Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable.
  • This work is our passion and our responsibility: our mission is to make businesses more productive, and people's lives more fulfilling.
  • This work is our passion and our responsibility:
  • our mission is to make businesses more productive, and people's lives more fulfilling.
  • Drive generalisation: Identify when capabilities should move beyond narrow task-specific implementations toward reusable models and behaviors that work across objects, environments, customers, and applications.

This listing is sourced directly from Agility Robotics's careers page and normalized into a canonical job model.