Improves security across web products and cloud infrastructure, managing vulnerabilities and CI/CD checks while partnering with engineers on risk reviews, remediation, and incident readiness.
About this role
The Product Manager owns a product area in Hacobu’s logistics software portfolio, either validating a new product or developing an existing service. The role connects customer operations, business impact and product development, defining how logistics work can be redesigned with AI and translating that direction into a product vision and roadmap. Work begins with customer discussions and logistics-site visits to identify problems and assess their impact. The manager validates ideas with customers and domain specialists, builds prototypes to test product and business hypotheses, and turns findings into specifications. The role sets priorities, works with engineers and designers through development, and coordinates with sales and customer success to grow the product. Applicants must have experience engaging directly with customers or users to understand issues and make proposals or adjustments; experience working with engineers and other disciplines to lead requirements definition and specification design through development; and hands-on use of generative AI to create a prototype or tool, at work or personally. Previous Product Manager experience is not required.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Build internal workflow systems and AI-agent infrastructure, translating business challenges into technical requirements and leading implementation, evaluation, and production rollout.
Build and operate shared cloud infrastructure for MOVO, a logistics management platform, and help product teams improve reliability, security, observability, and developer experience.
Develop and operate client programs for smartphone, console, and PC games. Build gameplay and user-facing systems, animation, graphics, and networking features, plus Unity tools.
Design and implement scalable data pipelines using Databricks Lakehouse Platform, collaborating with engineers and data scientists.
Build web and mobile apps, backend systems, and AI agents in an in-house team. After three months of training, work across planning, development, and operational improvement.