WHAT YOU WILL BE DOING
- Own and articulate the long-term product vision for Bright Machines’ robotics software and controls platform.
- Define and drive a multi-year roadmap that balances platform scalability, customer differentiation, deployment velocity, and architectural integrity.
- Translate executive strategy and customer needs into system-level product requirements that guide engineering investment.
- Lead cross-functional prioritization across robotics software, real-time controls, perception systems, ML pipelines, and hardware interfaces.
- Influence architectural decisions by grounding trade-offs in market impact, scalability, and business value.
- Establish measurable product success metrics tied to real-world production outcomes (yield, reliability, ramp time, cost of deployment, performance).
- Represent the platform strategy in executive forums and customer engagements, articulating technical differentiation and roadmap direction.
- Partner tightly with the Program Management team to ensure product intent translates into disciplined program execution.
WHAT YOU WILL BRING
- 8+ years of Product Management experience in robotics, next-gen automation, AI/ML systems, or complex software-driven hardware platforms.
- Demonstrated ownership of platform-level products with multi-team impact.
- Strong technical fluency in robotics software, controls systems, perception, ML-enabled production systems, and hardware/software integration.
- Experience influencing executive stakeholders and shaping investment decisions.
- Track record of defining and delivering differentiated platform capabilities in competitive markets.
- Experience operating in high-growth, high-ambiguity environments with strong engineering cultures.
- Exceptional communication skills — able to move fluidly between engineers, executives, and customers.
IT WOULD BE GREAT IF YOU HAD
- Experience in Industrial Robotics
- Experience working with current automation platforms such as Programmable Logic Controller (PLC) and associated development environments.
- Understanding of factory KPIs and practical experience driving their improvement
- Understanding of manufacturing logistics
- Understanding of MES and ERP systems supporting the existing manufacturing market
BE EMPOWERED TO CHANGE AN INDUSTRY
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.
Skills Required
- 8+ years of Product Management experience in robotics or AI/ML systems
- Strong technical fluency in robotics software and controls systems
- Experience influencing executive stakeholders
- Track record of defining and delivering platform capabilities
- Exceptional communication skills between technical and executive teams
What We Do
We deliver intelligent, software-defined manufacturing by bringing together our flexible factory robots with intelligent software, production data and machine learning. Our growing, global team of more than 300 robotics, software and manufacturing industry veterans believe building physical things should be as seamless and simple as creating digital products. Our software-defined manufacturing platform helps customers innovate faster to meet the growing demands of a new era of manufacturing.
.jpeg)
.png)
