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Agility Robotics

Senior Manager, Learning from Demonstration

Agility Robotics · Remote

Posted 21 days ago

or apply directly on Agility Robotics's site. We never take the application ourselves.

Is this posting real?

This role has been open
21 days
Agility Robotics's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Agility Robotics's roles list one
Ghost-job risk at Agility Robotics
high
36 stale, 1 reposted of 70 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Agility Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Agility Robotics.

About this role

The Senior Manager, Learning from Demonstration will lead a team in developing AI solutions for humanoid robotics, focusing on real-time planning and learning from demonstration. This role involves overseeing innovation projects from research to proof-of-concept deployment, managing team performance, and collaborating with hardware and software teams to enhance robotic capabilities. The manager will foster a culture of experimentation and accountability within the team.

Our read on this posting3.8out of 5
benefits
5/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Agility Robotics as an employer.

What you need

  • 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.

What you get

  • 401(k) Plan with a 6% company match.
  • Company stock options.
  • 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Eligible for benefits on the first day of employment.
  • Flexible, unlimited PTO and 12 company holidays, including a winter shutdown for exempt employees.
  • 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually for non-exempt employees.

Worth weighing

  • No specific mention of the technologies or tools used in the AI/ML stack.
  • The role emphasizes a culture of experimentation, which may involve a high tolerance for failure.
  • The salary range is dependent on various factors and may change based on geographical location.
  • The position is fully remote with hybrid options for those near specific offices, which may affect team dynamics.

Summarised from Agility Robotics's posting. Read the full original.

Listed by Agility Robotics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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