Resilience360 | Product Manager | Cologne/Bonn area, Germany | Full time | Onsite
We develop tools for supply chain professionals to use data-driven insights to manage supply chain risks. Born at the world’s largest logistics company Deutsche Post DHL and now backed by Columbia Capital, a Washington, DC-based venture capital group, Resilience360 offers an exciting opportunity for personal growth in the space of supply chain data and analytics. We bring the best of both worlds in a bustling city, with flexible working hours, the pace of a start-up, and the resources of a global corporation.
We’re looking for a product manager who will drive growth of our most profitable product by understanding customer needs, developing and prioritizing product ideas, and managing feature implementations. You will define user stories, communicate with the technical team to assess feasibility of features, and ensure that the final product meets customer needs. You will be in direct contact with customers to validate your ideas and to receive feedback. You should bring experience in a product management or similar role, ideally in a SaaS environment.
We are a young, driven and dynamic team and growing rapidly with 50+ employees currently across the world representing over 20 nationalities. If you want to change how products are shipped across the world in spite of political turmoil, natural disasters and transportation disruptions, apply for this position by writing directly to shehrina.kamal at dhl.com with your CV.
ENLYZE | Data Engineers and Scientists, Front-End Full-Stack Engineers | Cologne, Germany | Full-Time | ONSITE | enlyze.com
We enable industry to increase manufacturing profitability Our customers are industrial manufacturing companies that aim to increase their profitability and decrease their industrial waste. We offer a full-stack solution starting with proprietary hardware to acquire high-quality and rich manufacturing data, stream this data into our cloud environment and derive concise measures to increase the efficacy and efficiency of industrial machines. Our main target user is the shop floor employee to act upon these measures.
Increasing production quality / reducing waste is our first product feature. Given the unique high-quality manufacturing data we acquire in a structured way, there is a lot more to come, rethinking industrial automation and manufacturing supply chains. We think manufacturing systems bottom-up, focusing on single machines as the smallest elements of manufacturing. Building from this perspective, we will be able to re-organize manufacturing to operate in networks, rather than in chains, making systems more robust and adaptable.
Currently we're looking for data scientists and engineers and front-end full-stack engineers (react/node). If you're interested in joining our journey, reach out via hello[at]enlyze.com