Principal Engineering Program Manager
Lime
Staff Technical Program Manager, Robotics Software
Agility Robotics
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Lead
About the role
- Lead cross-functional teams in planning, execution, and delivery of robotics software programs
- Develop and manage program roadmaps, ensuring alignment with company goals and customer needs.
- Identify and mitigate risks while ensuring on-time, high-quality delivery.
- Collaborate closely with software engineering teams to understand technical challenges, prioritize development tasks, and ensure successful implementation.
- Partner with stakeholders, including hardware and product teams, to define program requirements and success metrics, translating high-level objectives into actionable plans.
- Facilitate trade-off discussions between technical feasibility, business needs, and delivery timelines.
- Establish and maintain metrics to track program health, performance, and resource allocation.
- Serve as the primary point of contact for software program updates, effectively communicating progress, risks, and decisions to senior leadership and key stakeholders.
- Facilitate regular program reviews and technical deep dives, ensuring transparency and alignment across teams.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Engineering, or a related technical field
- 10+ years of experience in technical program management or a similar role, with a focus on software development.
- Proven track record of managing complex, cross-disciplinary programs with multiple stakeholders.
- Experience with agile methodologies and tools (e.g., JIRA, Confluence)
- Strong technical aptitude with the ability to engage deeply with engineering teams.
- Exceptional problem-solving skills and the ability to manage ambiguity in a fast-paced environment.
- Excellent communication and leadership skills, with the ability to influence and inspire across organizational levels.
- Master’s degree or PhD in a relevant technical field.
- Deep understanding of robotics technologies, such as perception systems (e.g., sensors, computer vision), autonomy (e.g., SLAM, planning, decision-making), and robot software architecture.
- Familiarity with ROS, robotics middleware, machine learning frameworks, or real-time systems.
