Senior Manager, AI Innovation

Agility Robotics Agility Robotics · Robotics · Remote · Innovation

Senior Manager of AI Innovation at Agility Robotics, a humanoid robotics company. This role bridges AI/ML research and functional robotic applications, driving research to derisk the product roadmap by solving complex robotics challenges (perceptive real-time planning, whole body-control, learning from demonstration) on a 1-2 year horizon. Responsibilities include overseeing innovation projects from concept to MVP on humanoid platforms, accelerating data flywheel strategy (teleoperation, synthetic data, fleet learning), partnering with hardware/software teams, and managing a team of researchers and engineers. Requires advanced degree, 8+ years AI/ML experience (3+ in management), demonstrated experience in real-time AI for robotics, expertise in computer vision, reinforcement learning, and LLMs for robotics, and experience deploying models on resource-constrained edge devices.

What you'd actually do

  1. Oversee the lifecycle of innovation projects, from initial research and whiteboarding to "proof-of-concept" deployment on humanoid platforms.
  2. Owns the success of the AI Innovation program, holding themselves and the team accountable for quality and delivery.
  3. Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
  4. Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.
  5. Partner with Hardware and Robot Software teams to ensure that next-generation sensor suites are optimized for future AI architectures.

Skills

Required

  • 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
  • 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

Nice to have

  • failing fast
  • extreme ownership
  • human-robot interaction
  • adaptive motor control
  • teleoperation
  • fleet learning

What the JD emphasized

  • minimum of 8 years of experience in AI/ML, with at least 3 years in a management role
  • 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

Other signals

  • driving research from concept to MVP on humanoid platforms
  • solving complex robotics challenges
  • managing a team of researchers and engineers