Forward Deployed Engineer

Job description

About

Please refer to our Notion Job Board for the full job description and priority in your application process!

CarbonFarm is creating a sustainable, profitable future for smallholder farmers.

We believe in a future where the 1 billion land stewards in this world can live profitably while taking care of the planet. That’s why we are aligning the two: profitability and climate impact.

Why CarbonFarm?

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Impact-focussed company helping to fight climate change

· 
Beautiful office spaces in (the very cool) Station F

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Agile team of brilliant problem solvers

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International team with international ambitions (22 people, 14 nationalities)

· 
Deep-tech startup using modern, cloud-based technologies

How to Apply

· 
A good CV is a short one (two pages good, one page better )

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No need to write a cover letter, but you can highlight something from your CV or experience

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You can send us a couple of examples that best showcase things you’ve done (e.g. links to code, or projects from your studies)

Job Description

We are hiring a Forward Deployed Engineer in our Paris office to own and improve customer projects end to end. This is a hands-on software and data engineering role focused on deploying CarbonFarm’s technical capabilities in real customer environments.

Our work combines remote sensing, agricultural data, and machine learning . We work closely with customers around the world to turn complex carbon project requirements into reliable workflows and high-value outputs.

The role sits at the intersection of engineering, delivery, and product . You will work across operations, engineering, product, and R&D to run data pipelines, validate model outputs, shape technical requirements, and identify what should evolve into core product functionality.

This is not a consulting role. We are looking for someone who is comfortable working directly with code, databases, pipelines, and technical systems , and who can help translate delivery needs into better product and engineering decisions.

What you’ll do

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Run and maintain customer mission workflows from data intake to final output

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Operate and improve data and ML pipelines

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Work with Python, SQL, cloud systems, and orchestration tooling (e.g. Dagster)

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Validate model outputs and investigate issues in data or execution

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Translate customer needs into actionable technical requirements

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Support reporting and delivery for multiple customers in parallel

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Coordinate with operations, engineering, product, and R&D

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Identify recurring delivery patterns that should be improved or productised

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Contribute to product improvements over time as delivery work reveals missing capabilities

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Leverage AI tooling to drive rapid iteration, with a bias for technical accuracy

Preferred Experience

What we’re looking for

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Masters degree or equivalent in engineering, mathematics or similar

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2 years experience in software engineering or in a similar technical role

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Autonomous coding in Python with 2+ years professional experience

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Comfortable navigating and querying SQL databases

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1+ years experience creating or adapting data visualisations in Python or a data visualisation platform (e.g. Superset)

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Experience working with cloud platforms

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Experience building, running, or maintaining data pipelines

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Experience applying machine learning models, preferably in a professional context

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Ability to understand technical systems end to end, even when not every component is owned directly

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Good communication skills and comfort working with customers or non-technical stakeholders

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English fluency

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Paris-based, with the ability to work in person with the team

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French is not a requirement as we use English in the office (though it’s useful for day-to-day life)

Nice to have

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Experience with ML pipeline operations, deployment, or monitoring

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Familiarity with infrastructure and workflow orchestrating tooling

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Remote sensing or earth observation familiarity

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Exposure to SAR or optical data

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Familiarity with GIS tools or geospatial software concepts

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Experience prototyping dashboards or lightweight internal tools

Additional Information

·  Contract Type: Full-Time
·  Location: Paris
·  Experience: > 2 years
·  Occasional remote authorized