Product Developer

Contract Type: Full time permanent position Compensation: €65,000 - 75,000 depending on experience About MindEarth MindEarth is a Swiss-Italian company specializing in machine learning applications for large-scale spatial data. By integrating satellite imagery, large-scale mobility data, and crowd mapping, MindEarth delivers actionable insights across specific sectors such as urban management, transportation, infrastructure, real estate, insurance, marketing technology (MarTech), and socio-demographic analysis. About the role We are looking for a Product Developer to join our growing team and shape the next generation of GeoAI-powered products. If you love turning complex geospatial data into impactful tools and are excited by solving real-world challenges with cutting‑edge AI, we want to hear from you. You will be responsible for analyzing MindEarth’s past and ongoing projects to identify insights and define strategies for transforming research results into actionable, scalable and market‑ready products. The role also includes performing market analysis to identify sectors and opportunities where new solutions are most needed, helping guide our innovation roadmap. The successful candidate will work closely with technical and research teams to ensure that solutions meet both scientific rigor and market relevance. Key responsibilities Collaborate with our data scientists, engineers, research, and business development teams to design, develop, and refine GeoAI products and translate complex AI/EO/urban data outputs into actionable, user‑friendly products. Market analysis of different sectors to identify existing problems, gaps, and opportunities where MindEarth’s solutions could have the greatest impact. Assessment of whether MindEarth’s existing products or capabilities can address identified problems, and determine if improvements or adaptations are feasible. New product definition when market needs are not met by existing solutions, ensuring feasibility and alignment with MindEarth’s strategic goals. Development and maintenance of the product roadmap that prioritizes initiatives based on market potential, business value, and user impact. Collection and interpretation of feedback from users, clients, and market research to inform product development and improvement strategies. Tracking of the performance and impact of launched products, recommending refinements or new initiatives based on lessons learned. Required qualifications Bachelor’s or Master’s degree in Engineering, Data Science, GIS, Environmental Science, Business, Marketing, Product Management, or a related field. 5+ years of experience in product strategy and product development related to geospatial data. Strong problem‑solving skills and proven ability to translate market insights, research findings, and technical concepts into actionable product plans and clear user‑focused solutions. Solid understanding of software development pipelines, data visualization, and UX/UI principles. Strong collaboration skills, with the ability to engage constructively in a fast‑paced, multi‑disciplinary team and external partners and stakeholders. Familiarity with remote sensing or urban analytics is necessary. Experience with AI, cloud platforms, geospatial tools, or mapping libraries would be a great asset. Why MindEarth Be part of a fast‑growing, international deep‑tech startup shaping the future of urban intelligence. Work with cutting‑edge geospatial AI and Earth Observation technologies. Collaborate closely with top‑tier institutions, including the European Space Agency, the World Bank, UN agencies, and international clients from the private sector. Flexible work environment and strong emphasis on learning, creativity, and innovation. What we offer Competitive salary based on qualifications and experience. Flexible working hours and location. A collaborative, international, and innovation‑driven environment. Application instructions Send your CV, relevant publications, and rate expectations to with the following subject: Application for Product Developer_Surname Name #J-18808-Ljbffr