The Role
Own end-to-end client projects measuring soil carbon, including scoping, sampling design, spatial analysis, estimation, reporting, and presentations. Develop reproducible Python and geospatial workflows, improve shared codebases and methodologies, validate models, assess uncertainty, and translate project learnings into product improvements. Collaborate with business development, data science, engineering, and clients while applying rigorous science to real agricultural and environmental data.
Summary Generated by Built In
About the Role
Soil is one of the largest carbon sinks we have, and one of the hardest to measure. Our growing team is looking for a Solutions Engineer to deliver that measurement for the companies and project developers investing in regenerative agriculture. In this role, you'll own client projects from first conversation to delivered result, shape how our science is applied in the field, and turn what each project teaches us into a stronger product.
We're looking for someone curious about the science, rigorous with data and code and comfortable in front of a client: someone who enjoys owning a problem and seeing it through. You'll work alongside business development, data scientists and engineers, applying our methodology to real farms, real data and real deadlines. You will join a cross-functional, mission-driven team dedicated to bringing transparency and integrity to climate action.
Impact You’ll Own
Solutions Engineers provide a variety of services and deliverables to clients and internal stakeholders, owning the long-term success and impact of the solutions we build and use.
* Own client projects end to end: from scoping to delivered results, reports and maps, as the client’s technical counterpart in workshops and results presentations.
* Shape how carbon gets measured: design the sampling strategy and estimation approach for each project, from design-based to model-based, and make the calls that let our results stand up to the scrutiny of verifiers and carbon standards.
* Turn project work into product: identify what our pipeline should learn from each project, and build it into the shared codebase the team relies on.
* Sharpen our methodology: run the analyses that show how our methods perform and where they can improve, drawing on the latest research and standards in soil carbon.
* Enable long-term impact: results that can be traced and reproduced years later, with ex-post analyses showing how estimates hold up as new data comes in.
* Help set the standard: over time, lead projects with new approaches, define the practices our team builds on, and help clients and the industry raise the bar on how soil carbon is measured.
What You Bring
* 3+ years working with geospatial data in Python (e.g. GeoPandas, Rasterio, GEE) and GIS software (e.g. QGIS), in industry or applied research
* A solid foundation in statistics and machine learning applied to spatial or environmental data, such as sampling design, spatial modelling, model validation or uncertainty estimation
* Experience writing clean, collaborative code (Git, code reviews, reproducible workflows), using AI tools effectively and critically, and finding your way quickly in an existing codebase
* Experience owning projects end to end and making sound decisions when not everything is known
* Clear communication with technical and non-technical audiences, and a genuine drive to contribute to climate action
* Fluency in English
What Makes You Stand Out
* Geostatistics (e.g. kriging) or digital soil mapping
* Experience with soil, agricultural or remote sensing data
* Familiarity with carbon markets or standards such as Verra’s VM0042 or the EU CRCF
* Hands-on experience training and validating ML models for spatial prediction
* Client-facing experience, e.g. in consulting or technical pre-sales
* Production engineering practices such as CI/CD, testing or pipeline tooling
Benefits While Working At Seqana
* Real ownership, and a direct line from your work to measurable climate impact
* Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of society’s biggest challenges: climate change
* Witness and shape the evolution of a new business being built
* Hard, open problems, tackled with design docs, honest debate and scientific integrity
* Remote-friendly: up to 4 days/week remote when based in Berlin, or fully remote from elsewhere in Germany, with flexible hours
* 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.
Soil is one of the largest carbon sinks we have, and one of the hardest to measure. Our growing team is looking for a Solutions Engineer to deliver that measurement for the companies and project developers investing in regenerative agriculture. In this role, you'll own client projects from first conversation to delivered result, shape how our science is applied in the field, and turn what each project teaches us into a stronger product.
We're looking for someone curious about the science, rigorous with data and code and comfortable in front of a client: someone who enjoys owning a problem and seeing it through. You'll work alongside business development, data scientists and engineers, applying our methodology to real farms, real data and real deadlines. You will join a cross-functional, mission-driven team dedicated to bringing transparency and integrity to climate action.
Impact You’ll Own
Solutions Engineers provide a variety of services and deliverables to clients and internal stakeholders, owning the long-term success and impact of the solutions we build and use.
* Own client projects end to end: from scoping to delivered results, reports and maps, as the client’s technical counterpart in workshops and results presentations.
* Shape how carbon gets measured: design the sampling strategy and estimation approach for each project, from design-based to model-based, and make the calls that let our results stand up to the scrutiny of verifiers and carbon standards.
* Turn project work into product: identify what our pipeline should learn from each project, and build it into the shared codebase the team relies on.
* Sharpen our methodology: run the analyses that show how our methods perform and where they can improve, drawing on the latest research and standards in soil carbon.
* Enable long-term impact: results that can be traced and reproduced years later, with ex-post analyses showing how estimates hold up as new data comes in.
* Help set the standard: over time, lead projects with new approaches, define the practices our team builds on, and help clients and the industry raise the bar on how soil carbon is measured.
What You Bring
* 3+ years working with geospatial data in Python (e.g. GeoPandas, Rasterio, GEE) and GIS software (e.g. QGIS), in industry or applied research
* A solid foundation in statistics and machine learning applied to spatial or environmental data, such as sampling design, spatial modelling, model validation or uncertainty estimation
* Experience writing clean, collaborative code (Git, code reviews, reproducible workflows), using AI tools effectively and critically, and finding your way quickly in an existing codebase
* Experience owning projects end to end and making sound decisions when not everything is known
* Clear communication with technical and non-technical audiences, and a genuine drive to contribute to climate action
* Fluency in English
What Makes You Stand Out
* Geostatistics (e.g. kriging) or digital soil mapping
* Experience with soil, agricultural or remote sensing data
* Familiarity with carbon markets or standards such as Verra’s VM0042 or the EU CRCF
* Hands-on experience training and validating ML models for spatial prediction
* Client-facing experience, e.g. in consulting or technical pre-sales
* Production engineering practices such as CI/CD, testing or pipeline tooling
Benefits While Working At Seqana
* Real ownership, and a direct line from your work to measurable climate impact
* Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of society’s biggest challenges: climate change
* Witness and shape the evolution of a new business being built
* Hard, open problems, tackled with design docs, honest debate and scientific integrity
* Remote-friendly: up to 4 days/week remote when based in Berlin, or fully remote from elsewhere in Germany, with flexible hours
* 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.
Skills Required
- 3+ years of experience working with geospatial data in Python, including tools such as GeoPandas, Rasterio, or Google Earth Engine
- Experience using GIS software such as QGIS
- Foundation in statistics and machine learning applied to spatial or environmental data
- Experience with sampling design, spatial modeling, model validation, or uncertainty estimation
- Experience writing clean, collaborative code using Git, code reviews, and reproducible workflows
- Experience owning projects end to end and making decisions with incomplete information
- Clear communication with technical and non-technical audiences
- Fluency in English
- Experience with geostatistics, such as kriging, or digital soil mapping
- Experience with soil, agricultural, or remote sensing data
- Familiarity with carbon markets or standards such as Verra VM0042 or EU CRCF
- Hands-on experience training and validating machine learning models for spatial prediction
- Client-facing experience in consulting or technical pre-sales
- Production engineering experience with CI/CD, testing, or pipeline tooling
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Seqana is a Berlin-based startup that leverages remote sensing and machine learning to build data-driven Monitoring, Reporting, and Verification (MRV) solutions for soil-based carbon removal projects.
