Engineering Director, AI-Native Platform (Remote)

Groupe Faubourg; France; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Groupe Faubourg seeks a senior software engineering leader to design and drive UFM, the platform replacing five legacy systems for around 400,000 contracts across six countries. You will collaborate with developer/product builder pairs on a shared platform, while remaining hands-on in architecture and coding decisions.

You will gradually scale the engineering organisation from the founding team to a programme of about 30 people, implementing AI-native approaches and a lean governance model.

Qualifications

• 12+ years in software engineering, 4+ leading teams, and still writes code.
• Has scaled an engineering organisation — and is willing to keep this one small on purpose.
• AI-native conviction: has shipped with coding agents as part of the delivery team, not as a side experiment.
• Comfortable with legacy estates, ambiguity and multi-country enterprise reality.
• Fluent English; another European language is a plus.

Responsabilités

• Deliver hands-on first (around 60% initially): architecture decisions, code, and the hard technical calls, alongside the platform pod.
• Design and grow the pod topology: pairing, seniority mix, module-family ownership, the platform/product pod split.
• Own engineering standards where most code is agent-generated: review gates, ADRs, testing strategy, CI/CD. The tools change; the bar does not drop.
• Shape the agentic engineering practice group-wide, including instrumenting the legacy estates with AI so productivity gains fund the pods.
• Arbitrate velocity against foundations, and present progress, risks and investment needs to executive stakeholders.

Connaissances

Software engineering

Technical leadership

AI in delivery

Description du poste

Groupe Faubourg seeks a senior software engineering leader to design and drive UFM, the platform replacing five legacy systems for around 400,000 contracts across six countries. You will collaborate with developer/product builder pairs on a shared platform, while remaining hands-on in architecture and coding decisions.

You will gradually scale the engineering organisation from the founding team to a programme of about 30 people, implementing AI-native approaches and a lean governance model.