Product Manager

About us GOARC is an AI-native B2B SaaS company helping industrial organizations protect their people, improve frontline execution, and reduce operational risk. Our platform brings intelligence, automation, and real-time visibility to some of the world's most complex industrial environments, helping organizations move beyond reactive operations toward a smarter, AI-driven way of working. We're building the future of industrial operations with a leadership team that has successfully built category-defining companies before. As our product organization continues to grow, we're looking for people who want to shape not only what we build, but how we build it. The Opportunity We're looking for a Product Manager to join our Product team, reporting to our Director of Product Management. This is a role for someone genuinely curious and independent, who wants real influence on product direction. You'll own product initiatives end-to-end, from early discovery through release, and collaborate cross-functionally with R&D, QA, Customer Success, and other key stakeholders. You'll also be the face of our product for large enterprise customers: leading webinars, presenting in front of a crowd, and creating the materials that help both customers and internal teams understand what we build. Strong, native-level English and real confidence presenting to US audiences are essential here.

What You'll Do Translate strategy, roadmap priorities, and customer/business problems into clear product requirements for new and existing modules. Define features end-to-end, user stories, acceptance criteria, process flows, and functional specs that R&D and QA can build and test with confidence. Partner daily with R&D and QA, from requirement clarification through release. Work directly with enterprise customers and field teams to validate solutions and gather feedback. Lead customer-facing product marketing content, including webinars, training, and release communications, mainly in English. Track your initiatives, communicate status and risk, and use usage data and feedback to shape what's next.