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Senior Manager, Learning from Demonstration

Agility Robotics· Innovation
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Remote$268k - $364kfull-timePosted 1mo ago

About the role

Senior leader overseeing research and development bridging AI/ML research and robotic applications to de-risk the product roadmap. Manages a team of researchers and engineers, driving experiments, rapid iteration, and execution from concept to minimal viable product across robotics-focused AI domains.

Responsibilities

  • Oversee the lifecycle of innovation projects, from initial research and whiteboarding to "proof-of-concept" deployment on humanoid platforms.
  • Owns the success of the AI Innovation program, holding themselves and the team accountable for quality and delivery.
  • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
  • Accelerate data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand fleet performance and reliability.
  • Partner with Hardware and Robot Software teams to ensure next-generation sensor suites are optimized for future AI architectures.
  • Champion the existing team's talent and represent their needs to senior leadership.
  • Manage performance cycles, create individualized development plans, and lead hiring to scale the AI Innovation team.
  • Foster a safe and collaborative environment within the team, encouraging open dialogue and the freedom to learn from failed experiments.

Qualifications

  • Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Minimum of 8 years of experience in AI/ML, with at least 3 years in a management role.
  • Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
  • Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
  • Proven track record of managing scaling high-performance engineering or research teams.
  • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.

Skills

Required:Advanced degree in relevant fieldAI/ML leadershipReal-time AI for roboticsComputer visionReinforcement learningEdge deployment
Nice to have:LLMs in robotics

Benefits

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off: Flexible, unlimited PTO and 12 company holidays (Exempt); 10 vacation days, paid sick leave, and 12 holidays (Non-Exempt).
  • On-Site Perks: Catered lunches four times a week and healthy snacks at Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: Flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.
Last updated Aug 27, 2026. Interested? Apply on the company site.

About Agility Robotics

Industrial Humanoid Automation | Agility

Industrial Humanoid Automation | Agility's humanoid robots are deployed today in manufacturing, distribution, and logistics. Proven automation for industrial environments.

ArcArms and roboticsAutomationDigitHumanoid robotsIndustrial automationcloud platformdistribution
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