Forward Deployed Engineer

About the role

We are hiring a Forward Deployed Engineer to apply our models to each client project, adapting each time to the reality on the ground.

This role sits at the intersection of data science, engineering, and customer delivery operations. You will work closely with operations, engineering, product, and R&D to deploy and adapt CarbonFarm’s technical capabilities. That includes everything from running data pipelines and validating model outputs to shaping requirements and helping identify what should become part of the core product.

On the client-facing front, you will be working closely with our Customer Success Managers. They will manage client expectations. You will help translate client needs into technical delivery requirements and intervene in client communication when things get too technical.

This is not a consulting role. We are looking for someone who is comfortable working directly with data, code, and technical systems, and who can bridge the communication gap between a technical product and the real world in which our clients operate.

What you’ll do

• Adapt pre-built models and data processing to the idiosyncrasies of each client project
• Collaborate with the Customer Success Manager to deliver technical results to commercial partners
• Run and maintain customer mission workflows from data intake to final output
• Work with Python, SQL, cloud systems and machine-learning pipelines
• Validate model outputs and investigate issues in data or execution
• Support reporting and communicating the environmental outcomes for multiple customers in parallel
• Translate customer needs into actionable technical requirements
• Identify recurring delivery patterns that should be improved or productised
• Contribute to product improvements over time as delivery work reveals missing capabilities
• Leverage AI tooling to drive rapid iteration, with a strong bias for technical accuracy

What we’re looking for

• 2 years experience in data science or in a similar technical role
• Masters degree or equivalent in engineering, computer science or similar
• Excellent communication skills, notably with regards to communicating scientific concepts to non-technical stakeholders
• Comfortable interpreting technical results in a commercial context
• Autonomous coding in Python with 2+ years professional experience
• Ability to understand technical systems end to end, even when not every component is owned directly
• Comfortable navigating and querying SQL databases
• 1+ years experience creating or adapting data visualisations in Python or a data visualisation platform (e.g. Superset)
• Experience working with cloud platforms
• Experience working with data pipelines
• Experience applying and adjusting machine-learning models, preferably in a professional context
• English fluency
• Paris-based, with the ability to work in person with the team

Nice to have

• Experience with machine-learning pipeline operations, deployment, or monitoring
• Familiarity with workflow orchestrating tooling such as Airflow or Dagster
• Remote sensing or earth observation familiarity, notably SAR imagery
• Familiarity with GIS tools or geospatial software concepts