Start Date: ASAP

About Us

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.

Perks: Competitive salary + equity, flexible PTO, legendary merch, coffee, robots, sauna & cold plunge (pending).

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