Staff AI Engineer — Visualization & AI-Powered Investigations (Hybrid)

Datadog

France

Hybride

EUR 70 000 - 90 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Avantages offerts par ce poste

New hire stock equity (RSUs)
Employee stock purchase plan
Global mental health benefit

Résumé du poste

Datadog, located in France, is seeking a Staff Software Engineer to lead AI-powered product experiences within the Data Visualization organization. You will collaborate with product and engineering teams to develop reliable and scalable AI-driven solutions that enhance customer interactions.

This role values a hybrid workplace culture, promoting work-life harmony and continuous career growth through mentoring and internal mobility opportunities. Join us in shaping how users interact with complex operational data.

Qualifications

  • Extensive software engineering experience, ideally at Staff Engineer level.
  • Hands-on experience with AI-powered customer-facing products.
  • Ability to connect technical decisions to customer outcomes.

Responsabilités

  • Lead design and delivery of AI-powered product experiences.
  • Develop systems integrating product capabilities with LLM technologies.
  • Drive innovation in AI application reliability and context engineering.

Connaissances

Software engineering experience
AI-powered product delivery
Collaboration across teams
Understanding of LLM technologies
Product-oriented mindset

Outils

Evaluation frameworks
Conversational interfaces

Description du poste

Datadog, located in France, is seeking a Staff Software Engineer to lead AI-powered product experiences within the Data Visualization organization. You will collaborate with product and engineering teams to develop reliable and scalable AI-driven solutions that enhance customer interactions.

This role values a hybrid workplace culture, promoting work-life harmony and continuous career growth through mentoring and internal mobility opportunities. Join us in shaping how users interact with complex operational data.

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