Product Manager

Define the future of simulation technologies used for robotics training and autonomy development at Zeromatter Technologies Inc. This onsite Product Manager role in Mountain View, CA combines product strategy with hands-on technical partnership, helping you shape a simulation platform where reliability and scalability matter as much as innovation. You will work closely across engineering, design, customer teams, and business development to translate real customer needs into a roadmap that drives measurable outcomes.

Responsibilities

• Develop and communicate a clear product vision for Zeromatter’s simulation platform, informed by customer needs, market trends, and robotics industry dynamics.
• Turn customer and internal feedback into a data-driven roadmap that balances innovation with reliability and scalability.
• Collaborate with technical artists and engineers to specify, design, and deliver features that improve simulation fidelity, usability, and performance.
• Partner with robotics companies and internal stakeholders to identify key challenges and validate product direction through ongoing feedback.
• Define and track success metrics across adoption, simulation accuracy, user satisfaction, and training throughput, using insights to refine product priorities.
• Align with engineering, design, and business development on goals, timelines, and dependencies.
• Work with customer success and sales to shape product positioning, demos, and documentation that communicate value to robotics and autonomy customers.

Requirements

• Bachelor’s degree in Computer Science, Robotics, Engineering, Physics, or a related field, or equivalent experience.
• Proven experience creating or delivering technical products in simulation, robotics, AI/ML, and developer tools.
• Understanding of simulation technologies and physics engines, robotics frameworks such as ROS, Gazebo, Isaac Sim, and ML training workflows.
• Ability to synthesize complex technical information into actionable product strategy and feature definitions.
• Experience engaging with customers to gather feedback, prioritize use cases, and deliver high-impact solutions.
• Strong written and verbal communication across technical and business audiences.

Compensation

$100,000 - $300,000 per year

Tools & Technologies

ROS, Gazebo, Isaac Sim, AI/ML, ML training workflows