robotics product manager

Mundane is a venture-backed, seed-stage robotics and embodied AI company founded by Stanford researchers and builders. We are deploying large fleets of humanoid robots into real-world commercial environments to perform high-volume, repetitive tasks. Our work spans the full hardware and software stack: electromechanical systems, actuation, embedded firmware, real-time controls, perception, autonomy, cloud infrastructure, and large-scale robot learning. By tightly integrating hardware development with data collection and learning systems, we are building the foundation for scalable embodied intelligence in the physical world. We are a fast-moving, execution-focused team operating at the intersection of advanced robotics engineering and frontier AI. About the Role As a Robotics Product Manager, you will drive coordination across the full hardware and software stack — from mechanical and electrical design through embedded systems, controls, autonomy, and robot learning. You will align complex, interdependent programs: ensuring hardware architecture decisions support control performance, integrating embedded systems with higher-level autonomy, and coordinating hardware builds with software releases and ML-enabled deployment milestones. This is a deeply technical, high-ownership role for someone who understands what it takes to ship complex robotic systems. You will build structured execution frameworks across mechanical engineering, firmware, real-time controls, perception, and learning-based systems — keeping system-level milestones on track as we scale from prototype to production fleet. Responsibilities Lead cross-functional programs spanning mechanical design, actuation, embedded systems, controls, autonomy, software infrastructure, and robot learning. Build and maintain integrated hardware–software–ML roadmaps with clear milestones, critical paths, and dependency tracking. Align hardware development cycles (actuators, joints, power electronics, safety systems) with software releases and ML integration timelines. Drive system-level integration across control loops, perception, autonomy, and fleet infrastructure. Coordinate fleet releases to ensure reliability, safety, and production readiness in real-world deployments. Identify cross-disciplinary risks early (mechanical constraints, control instability, compute limitations, sim-to-real gaps) and drive mitigation plans. Establish scalable execution processes as we expand our humanoid fleet and embodied AI capabilities. Qualifications 5+ years of experience in technical product management within robotics or complex electromechanical systems. Demonstrated success coordinating multi-disciplinary engineering teams across hardware and software domains. Strong understanding of hardware development lifecycles and software release processes. Experience working on robotic manipulation platforms or collaborative robotic arms (e.g., prior engineering leadership on a cobot arm). Familiarity with real-time systems, motion control, embedded systems, and ML-enabled products. Excellent communication and organizational skills in fast-paced, ambiguity-heavy environments. Bonus Background in robotics, autonomous systems, or AI-driven hardware products. Experience working at the intersection of hardware platforms and machine learning systems. Exposure to robot learning, imitation learning, reinforcement learning, or embodied AI. Experience supporting deployed hardware or fleet-scale systems in production. What You’ll Get Ownership of mission-critical, cross-company programs central to humanoid robot deployment. Direct exposure across mechanical engineering, controls, embedded systems, autonomy, ML, and fleet operations. Early equity with meaningful upside in a venture-backed robotics company. A foundational role in scaling embodied intelligence from prototype to production. Our Privacy Policy #J-18808-Ljbffr mundane