Solutions Engineer

About the Company

Seqana is an EU- and venture-backed start-up building monitoring, reporting and verification (MRV) tools to drive soil carbon sequestration and the transition towards regenerative and climate-preserving agriculture.

One of the most powerful (and underutilized) solutions to climate change is capturing carbon in soils via regenerative agricultural practices. This approach has the potential for several times more climate impact than planting forests, while also providing extensive co-benefits such as erosion mitigation and improved water quality, food security, and biodiversity.

Existing solutions for MRV for the carbon market are one of the main drivers of cost and effort, and often the limiting factor for new project development. At Seqana, we combine satellite imagery, our extensive proprietary library of soil datasets, and machine learning to provide an accurate, cost-effective, and efficient MRV solution for soil organic carbon. Our product enables project developers, large corporations and NGOS with a scalable solution to measure and quantify the impact of their regenerative agricultural practices on soil carbon sequestration, enabling them to report credible CO2 reductions.

The Role

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.

Responsibilities you’ll own

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

Awesomeness you bring

  • 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 skills
  • Fluency 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

Benefits you can expect

  • 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

Seqana is committed to building a workplace culture based on the values of proactivity, authenticity, creativity, and empathy, where equal employment opportunity is guaranteed to all applicants and team members regardless of their race, color, ethnicity, sex, sexual identity, religion, or disability. If this job intrigues you, but you’re thinking you might not have all of the qualifications, please do apply anyway. We are looking for well-rounded people from around the world who can contribute in more ways than just what is listed in this job description. We are excited to build a team that celebrates diversity in all its forms.

Join us if you want to advance climate action in your daily work and are open to new insights and opportunities everyday!

Preferred starting date: April 1st, 2024

Our offer:

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

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

Apply here

Please, email us with a short motivational paragraph and your CV to jobs@seqana.com!

Seqana is an EU-funded, earth observation and ML enabled, SaaS company that is developing scalable and cost-efficient monitoring, reporting, and verification (MRV) of regenerative agriculture. We enable change-makers to combat the effects of climate change by introducing transparent, replicable, and scalable MRV into this nascent market.
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