Senior Technical Program Manager, Robot Skills Development

Agility Robotics Agility Robotics · Robotics · Remote · Software Engineering

Senior Technical Program Manager to support the Skill Development Team, leading the planning, execution, and delivery of the robot skills roadmap, focusing on creating generalizable robot behaviors and capabilities. Partners with Product Management to translate the roadmap into actionable execution plans, balancing time-sensitive features with strategic platform scaling.

What you'd actually do

  1. Partner with Product Management and senior engineering leaders to translate the product roadmap into detailed, actionable execution plans with clear milestones, scoping, and timelines.
  2. Optimize the execution of the Skill Development Team by managing the balance between long-range technical goals and the fast-paced demands of immediate commercial rollouts.
  3. Proactively manage complex technical dependencies and facilitate alignment across Robot Software, AI Engineering, Solutions Engineering, and Fleet Orchestration (i.e. Arc) teams.
  4. Establish operational rigor and process clarity within the team using tools like Jira; optimize sprint mechanics & metrics, run agile ceremonies, and resolve roadblocks to maintain predictable delivery timelines.
  5. Guide the lifecycle of manipulation and perception capabilities from early-stage prototyping and feasibility assessments to robust, commercially viable, and pilot-ready production features.

Skills

Required

  • technical program management
  • project management
  • software engineering lifecycles
  • Agile software development
  • complex software systems
  • physical hardware interaction
  • Jira
  • cross-functional influence
  • stakeholder alignment
  • communication to senior leadership

Nice to have

  • Master's degree
  • Robotics Domain Knowledge
  • perception systems
  • robotic manipulation & controls pipelines
  • machine learning frameworks
  • Learning from Demonstration/LfD
  • reliability data analysis
  • scale-up environments
  • simulation-based validation

What the JD emphasized

  • rigorous focus on software engineering lifecycles
  • complex software systems that directly interact with physical hardware
  • Advanced proficiency utilizing Jira
  • proven track record of proactively influencing the roadmaps of key cross-functional partners
  • proven ability to align stakeholders across multi-disciplinary teams
  • Exposure to or experience with perception systems, robotic manipulation & controls pipelines, or machine learning frameworks