Solutions Engineer / Forward deployed Engineer - CDI (M/F)
Salary: up to 100K fixed + uncapped variable
French startup developing technological solutions to make industrial operations more reliable and predictable.
After developing a SaaS production planning software, currently deployed across a hundred sites, the company is developing a new solution aimed at progressively automating the planner profession.
The approach combines AI, mathematics, and human intervention to pilot complex industrial environments in real time and improve their performance based on financial indicators.
The position:
The Forward Deployed Engineer is closest to the customers and the field. Their objective is to deploy the solution at each new customer site in order to generate €500k to €2M in gains within six months.
It is primarily a technical role, with a strong customer and business dimension. The FDE works directly on data, models, industrial constraints, and operational decisions.
Their intervention covers three challenges:
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Identify value: understand the factory's performance issues and quantify the potential for improvement.
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Demonstrate value: deploy a POC and measure the gains obtained.
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Scale up: support the deployment of the solution at the group level.
The position thus sits at the crossroads of industrial business, product, data engineering, data science, and business.
Skills sought:
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Ability to understand and structure complex problems before proposing a solution.
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Solid foundations in statistics and classical machine learning, supervised and unsupervised.
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Mastery of Python, notably pandas and NumPy, for data manipulation.
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Ability to clearly explain reasoning, a technical choice, or a model.
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Ability to link technical issues to their business impact.
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Consultative posture and ease when facing C-level interlocutors.
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Clear communication in English.
Recruitment process:
The process allows for the successive evaluation of the technical, analytical, business, and client-facing dimensions of the profile:
1.
Screening - 30 min: background, motivations, and a short case in English.
2.
Technical interview - 1h30: statistics, machine learning, data, and Python.
3.
Use case with the CEO - 1h30: resolution and structuring of a C-level customer problem.
4.
Background interview - 1h: experiences, achievements, and working methods.
5.
Reference checks.
6.
Final meeting in Paris: exchange with the CTO and the team, vision of the position, and presentation of the offer.
The sought-after profile is primarily a technician capable of evolving directly in front of customers.
Particularly relevant backgrounds are:
Solutions Engineer / Solutions Architect oriented towards Data & ML, with experience in scoping, POCs, and deploying solutions to customers.
Data Scientist / ML Engineer from a consulting firm or a Data & AI consulting company, having worked directly with customers on technical and business issues.
Software Engineer / Data Engineer in a consulting environment, provided they have solid foundations in statistics/ML and genuine customer exposure.
Forward Deployed Engineer / Forward Deployed Data Scientist, having already combined technical development, business understanding, and deployment to customers.
The determining factor is the ability to understand a customer problem, challenge hypotheses, work directly on data, build or adapt a technical solution, and demonstrate its business impact.
Experience interacting with decision-makers or C-level interlocutors constitutes a particularly relevant signal.