Solutions Engineer (gn)

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, 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 also help or lead the automation of our key workflows and integrations with customer software as well as conduct critical analyses to internal Seqana stakeholders to inform strategic decisions.

We're looking for someone who brings extensive experience in programming and proficiency in machine learning, 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, creativity, and empathy in our company culture.

Solutions Engineer (gn)

Solution Engineers provide a variety of services and deliverables to clients and internal stakeholders.

• Own the customer success lifecycle, from scoping and requirements to project execution and delivery
• Training and applying machine learning 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
• Optimizing our workflows further through automation and standardization as well as integrations with customer software
• Conducting analyses for internal stakeholders to inform strategic decisions
• Collaborating with our business development team to help close business opportunities

• 4+ years of experience in Python programming (particularly with geospatial Python libraries e.g. geopandas, rasterio, Google Earth Engine)
• 1+ years of industry experience with ML engineering including knowledge of model and data versioning tools, and feature stores
• 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 skillsFluency in English
• Some experience with statistics and designing and conducting machine learning experiments

What makes you stand out

• Ideas for new applications and processes that can improve operations
• Prior experience working within a cross-functional team
• Prior experience working with soil data and / or remote sensing data
• Prior experience developing solutions for climate tech, agriculture, or the carbon market
• Experience with cartography in QGIS

• 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
• Work in a casual environment with flexible hours and some ability to work from home
• Competitive salary, benefits, and compensation package
• Drinks, snacks, team events, and your choice of hardware

Our Offer

• 30 days of paid vacation (PTO)
• Full-time, unlimited contract.
• Stock options: take part in our success

Preferred starting date: As soon as possible

Location: Beautiful office in the heart of Berlin-Kreuzberg, check out our LinkedIn for some impressions of the team and the office