Product Manager, Factory Design & Automation

What You'll Do

• Own the product roadmap for automation: deployment tooling, monitoring and observability dashboards, incident management workflows, configuration management, and field support systems — with a goal of increasing deployment velocity and reducing time-to-resolution across factory sites
• Oversee the factory design platform — ensure it evolves to meet the needs of manufacturing engineers and factory layout planners, and monitor its adoption and effectiveness
• Drive product discovery — spend time in factories understanding operational pain points, gather requirements from manufacturing engineers, and translate field needs into prioritized product initiatives
• Define, track, and report product performance and success metrics — including adoption rates, user engagement, deployment velocity, system uptime, time-to-resolution, and factory throughput impact — and use these metrics to drive prioritization and communicate progress to leadership
• Shape deployment priorities and sequencing across factory sites, working with integration engineers to ensure launches align with product readiness, and drive continuous improvement of deployment and incident response processes
• Maintain close communication with all stakeholders — engineering, manufacturing, firmware, leadership, and external partners — diligently tracking decisions, schedules, risks, and dependencies, and surfacing field patterns and operational requirements to engineering teams
• Collaborate with engineering leads to shape sprint priorities, align product direction with technical feasibility and architectural direction
• Identify opportunities to apply AI to automation workflows — automated diagnostics, predictive maintenance, and deployment validation — and drive those initiatives from concept to production

What You'll Bring

• 5+ years of product management experience with demonstrated end-to-end product ownership (discovery, prioritization, roadmap, execution, measurement), with at least 2 years in robotics, industrial automation, manufacturing systems, or a related hardware-software domain
• Strong analytical mindset with experience defining product success metrics and working closely with field or operations teams to turn data and user insights into product decisions
• Technical fluency: comfortable reading code, understanding distributed systems architectures, and engaging in technical tradeoff discussions with engineers
• Excellent organizational skills with the ability to manage multiple factory deployments, competing priorities, and cross-functional dependencies simultaneously
• Strong communication skills, with the ability to translate between factory operations, engineering, and executive leadership — you can present the product compellingly to any audience, from factory technicians to senior executives, and keep presentation-ready materials current at all times
• An AI-forward mindset: you actively look for ways to incorporate AI-driven approaches into product workflows and operational processes
• Experience with deployment coordination, warehouse automation (WMS/WES/WCS), AMR/AGV systems, or DevOps tooling (Kubernetes, Helm, CI/CD) is a plus