Solutions Engineer gesucht in Berlin

Our growing team is looking for an experienced Solutions Engineer to help us design, develop, and deliver high-quality and high-value products to our clients and internal stakeholders. As a Solutions Engineer, you will work at the nexus of the tech, product and business development teams to understand client pain points, communicate effectively with diverse internal and external stakeholders, design and develop solutions using our technology and machine learning models, and implement those solutions in ways that are useful and understandable to clients and collaborators. You will manage time-sensitive client projects and their internal documentation, contribute to the development of our key solutions and conduct critical analyses for internal Seqana stakeholders to inform strategic decisions., Solution Engineers provide a variety of services and deliverables to clients and internal stakeholders, owning the long-term success and impact of the solutions they build and use.

• Own the customer success lifecycle, collaborating with our business development team from scoping and requirements to project execution and delivery
• Training and applying machine learning and geostatistical models for client projects in different geographic regions around the world to predict soil organic carbon (SOC) sequestration
• Generating ad-hoc maps, reports, presentations for our clients
• Owning and evolving internal and client-facing solutions over time, including prioritizing improvements, identifying high-impact features, and making a clear case for their product value
• Improving our workflows further through technical contributions, e.g. through automation, standardization or integrations with customer software
• Conducting analyses for internal stakeholders to inform strategic decisions

We're looking for someone who brings extensive experience in geospatial programming, a good understanding of machine learning and statistics, a proactive and analytical mindset, and is skilled in cross-functional teamwork and communication. You will be part of a passionate team that aims to have a direct positive impact on the world. We value proactivity, authenticity, empathy and solution-mindset in our company culture., * 3+ years of experience in geospatial analysis and Python programming (e.g. GeoPandas, Rasterio, GEE), as well as hands-on experience using GIS software (e.g., QGIS)

• 1+ years of industry experience with machine learning and/or statistical methods, as well as knowledge of code and data versioning tools
• Experience with software engineering in a production environment (CI/CD, versioning, code reviews)
• Ability to quickly learn and understand unfamiliar systems, new technologies, & large/complex code bases
• Strong communication and interpersonal skills, including the ability to manage stakeholder expectations and proactively translate technical concepts into clear, actionable insights
• Fluency in English

What makes you stand out:

• Strong understanding of statistics, geostatistics and/or how to design and conduct machine learning experiments
• Prior experience working within a cross-functional team delivering technical solutions to clients
• Prior experience working with soil data and / or remote sensing data
• Prior experience developing solutions for climate tech, agriculture, or carbon markets

• Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of societies' biggest challenges: Climate Change
• Witness and shape the evolution of a new business being built
• Collaborative DevOps culture with opportunities for continuous learning and improvement
• Competitive salary, benefits, and compensation package
• Drinks, snacks, team events, and your choice of hardware

Seqana is a start-up building digital monitoring, reporting, and verification (MRV) tools using remote sensing and AI to drive soil carbon sequestration and support the transition towards regenerative, climate-preserving agriculture at scale. We are backed by venture capital investors and supported by public funding from ESA and DLR. Capturing carbon in soils through regenerative agricultural practices is a powerful and still underutilized solution to climate change, with significant co-benefits including improved soil health, water quality, food security, and biodiversity. Existing MRV solutions for soil carbon are a major driver of cost and complexity in carbon projects and often limit scalability. At Seqana, we combine satellite imagery, an extensive proprietary library of soil datasets, and machine learning to deliver an accurate, cost-effective, and scalable MRV solution for soil organic carbon. Our product enables project developers, agrifood corporations, NGOs, and government entities to credibly measure, quantify, and report the climate impact of regenerative agricultural practices.