Working at HabiTerre

We are an equal opportunity employer with a team around the country. We offer a workplace that is both casual and professional, and a culture that is committed to learning, fun, and excellence.

Our team consists of people who are passionate about creating insights-rich and intuitive customer experiences and, at the same time, obsess over performance and reliability of what we build. We challenge the status quo and strive towards finding the best way to solve problems.

We work in small collaborative groups to keep things simple and efficient, and thus give a lot of autonomy to our staff members to perform the work required and be creative.

Leadership and Cultural Expectations

At HabiTerre, we hold ourselves to high standards of leadership and cultural values. We expect all team members to embody the following principles:

  • Be authentic and tell your truth: Embrace transparency and honesty in all communications and interactions.
  • Persevere: Demonstrate resilience and determination in the face of challenges, pushing through obstacles to achieve our goals.
  • Lean in and do the right thing, even when it is hard: Act with integrity and ethical conduct, making decisions that prioritize the greater good.
  • Choose excellence; be your best, keep improving, exceed expectations: Strive for excellence in everything you do, continuously seeking opportunities for growth and development.
  • Exercise confident humility: Approach your work with confidence tempered by humility, recognizing the value of diverse perspectives and the importance of lifelong learning.

Open Job Opportunities:

Technical Product Owner - Agricultural and Climate

Job Description:
As the Technical Product Owner, you will apply scientific methods to drive innovation and solve real-world problems through the development of rigorous and scalable GHG Measurement, Monitoring, Reporting, and Verification (MMRV) solutions. You will work closely with interdisciplinary teams, leveraging both your industry and academic experience to develop functional applications and products that improve agricultural operations and resilience. You will be the point of intersection between the HabiTerre science and research teams and the product and business teams.



  • Translate commercial and industry context into actionable insights for science and modeling experts, ensuring alignment with business objectives and market demands.
  • Communicate scientific context and findings to business leadership, providing guidance on strategic decision-making and resource allocation.
  • Direct the roadmap for product science improvements, identifying key areas for innovation and optimization to enhance product performance and impact.
  • Collaborate with the product team to balance scientific rigor with the scalability and impact of MMRV (Monitoring, Measurement, Reporting, and Verification) solutions.
  • Engage with academic science advisors to leverage external expertise and stay at the forefront of scientific advancements.
  • Develop technical software requirements to support the implementation of scientific algorithms and models within our product ecosystem.
  • Establish QA/QC processes to ensure the scientific integrity and accuracy of MMRV solutions, maintaining high standards of data quality and reliability.
  • Support the development of project methodologies, providing technical expertise and guidance to optimize research design and execution.
  • Provide technical sales support, assisting the sales team in articulating the value proposition and rigor of our modeling processes to prospective clients and representing the rigor of our modeling processes to non-technical audiences, including industry stakeholders, regulators, and investors.


  • Ph.D. or equivalent experience in earth system science, agricultural science, environmental science, climatology, or related field.
  • Proven expertise in statistical analysis, data modeling, and/or machine learning techniques applied to agricultural and environmental datasets.
  • Strong programming skills in languages such as Python, R, or MATLAB, with experience working with large datasets and scientific computing libraries.
  • Familiarity with remote sensing technologies (e.g., satellite data) and geospatial analysis tools (e.g., GIS) is highly desirable.
  • Industry experience, solving real-world problems in agriculture, sustainability, or climate-related fields.
  • Demonstrated ability to work independently and collaboratively in a fast-paced, interdisciplinary team environment.
  • Passion for sustainability, innovation, and making a positive impact on the agricultural industry and the environment.

Important Skills for this Role:

  • Communication: Excellent verbal and written communication skills with the ability to convey complex scientific concepts to diverse audiences, including technical and non-technical stakeholders.
  • Attention to detail & Analytical Thinking: Meticulous attention to detail to understand nuance and strong analytical skills to solve complex problems and derive insights from data.
  • Data Analysis: Proficiency in data collection, processing, and interpretation to drive informed decision-making.
  • Teamwork: Ability to work collaboratively in multidisciplinary teams, communicate effectively, and contribute to a positive team environment.

Data Engineer

Location: Champaign IL / Remote

Job Responsibilities

  • Apply technical expertise to implement testable, scalable and maintainable computer science algorithms. Drive roadmaps through your insights and recommendations.
  • Work with large and complex remote sensing datasets to solve various challenging problems.
  • Work collaboratively with the business team to understand customer needs and help shape business roadmap and vision.
  • Influence product direction through clear and compelling presentations to leadership.
  • Provide support to the company’s intellectual property counsel.


Basic Qualifications:

  • BS in Computer Science or related technical field.
  • 3+ Years experience in Python development.
  • 2+ Years experience in implementing large-scale data processing and modeling pipelines on cloud computing platforms such as AWS, GCP and Azure.
  • 2+ Experience in implementing machine learning and deep learning algorithms using Python ML/DL frameworks, such as PyTorch, Tensorflow, Scikit-Learn.
  • Experience with parallel programming, Linux/UNIX and Shell scripting.


Preferred Qualifications:

  • Master’s or further education in computer science or other related fields.
  • Experience in remote sensing and geospatial data processing.
  • Proficiency in front-end languages, libraries, and rendering technologies (JavaScript, Node.js, templating languages, web frameworks, HTML5, CSS/SASS).

Environmental Modeler

Location: Champaign IL / Remote

Job Responsibilities

  • Develop scalable computation pipelines for process-based carbon models and integrate different sources of satellite data, in a high-performance computing environment (e.g. supercomputer and/or cloud computing platforms). [Note: Major single components have been developed and tested; the major task here is to integrate different components to optimize computation efficiency.]
  • Conduct model simulation and uncertainty analysis and ensure QA/QC.
  • Handle data manipulation and visualization and administration of systems in accordance with enterprise data security protocols and privacy policy.
  • Document code and results and draft scientific reports for generated results.
  • Work with product management and R&D team to productize.
  • Generate deliverables upon customers’ requests and work to address customer needs and feedback.
  • Effectively communicate scientific outcomes with customers.
  • Automate and simplify team development, test, and operations processes.
  • Provide necessary support to the company’s intellectual property counsel.


Basic Qualifications:

  • Master in Earth Science, Environmental Science/Engineering, Atmospheric Science, Hydrological Science, or related technical field.
  • 3+ Years of experience in Python development and scientific data visualization.
  • 3+ Years of experience in using ecosystem or climate models or using model outputs.
  • Proficiency with Linux/UNIX and Shell scripting and high-performance computing.
  • Experience in implementing basic machine learning algorithms using Python ML/DL frameworks, such as PyTorch, Tensorflow, Scikit-Learn.
  • Experience with developer's tools, such as Pycharm, Jupyter, Spyder, Git, etc.
  • Experience in production support, customer interaction, and troubleshooting.
  • Comfortable with multi-tasking and working as part of a team.


Preferred Qualifications:

  • PhD degree in Earth Science, Environmental Science/Engineering, Atmospheric Science, Hydrological Science, or related technical field.
  • Experience in process-based earth system models, ecosystem models, and/or biogeochemistry models.
  • Experience in satellite remote sensing and geospatial data processing.
  • Experience in model-data fusion methods, such as calibration, data assimilation, etc.
  • Experience with MPI or other parallel computing architectures.
  • Experience in developing and releasing highly scalable products.
  • Possession of excellent oral and written technical communication skills.
  • 2+ Years experience of implementing large-scale data processing and modeling pipelines on cloud computing platforms such as AWS, GCP and Azure.


Other Considerations:

  • Industry-level competitive compensation, based upon relevant experience.
  • This position provides stock options.
  • This position is REMOTE or in Champaign, Illinois.
  • This position considers sponsoring H1B visa application for qualified international applicants.

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