Product Manager, Factory Design & Automation

Tesla builds software that orchestrates autonomous robots and automation systems - including AMRs, ASRS and conveyance systems - across global manufacturing and warehouse facilities. The platform also includes a web-based factory design tool used to plan and configure automation layouts. Together, these products span the full lifecycle from factory planning through production operations, and directlyimpactthroughput, uptime, and scalability.

We are seeking a Product Manager to own the automation product area - the tooling, processes, and systems that ensure our automation platform is successfully deployed, adopted, and continuously improved across factory environments worldwide. You will also oversee the factory design platform, ensuring it continues to evolve alongside the automation product. This role sits at the intersection of product management, field operations, and engineering: you will define what gets built, ensure it ships reliably tofactories, and close the loop between production realities and product direction.

The ideal candidate has a product management foundation - discovery, prioritization, roadmap ownership - combined with the operational instincts to understand what it takes to get software running on factory floors. You are comfortable in a factory, in a sprint review, and in a leadership meeting presenting product metrics.

This position is based in Austin, TX, with up to 15% travel to Tesla factories worldwide for deployments, onsite validation, and product discovery.

• 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, andmonitorits 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

• Identifyopportunities to apply AI to automation workflows - automated diagnostics, predictive maintenance, and deployment validation - and drive those initiatives from concept to production

• 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