Remote Product Manager — End-to-End AI/Data Platform

Dedale

Paris

Hybride

EUR 70 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Flexible, remote-friendly working
International, English-speaking team
Paris-based

Résumé du poste

Dedale in Paris is seeking a Product Manager (PO/PM) to own delivery across the full scope of the Dedale platform, end-to-end, from discovery to shipped features. You will join the product and engineering team, report directly to the CPO, and work closely with data and research teams as well as an external design partner.

You own your product area end-to-end: shape the roadmap, write specs, guide engineering, and drive outcomes. High autonomy, emphasis on data alignment and measurable success.

Qualifications

  • 3–6 years as a Product Owner/PM on a software product, ideally B2B SaaS.
  • Strong agile delivery with backlog ownership and clear specs.
  • Solid product sense: discovery, prioritization, and success metrics.
  • Comfortable working with data engineers on data quality and coverage.
  • Fluent English; French is a plus.
  • Exposure to AI/LLM-powered features, search, or retrieval.

Responsabilités

  • Own the roadmap and backlog for the product area with the CPO.
  • Write crisp user stories, specs, and acceptance criteria.
  • Collaborate with engineering to ship in an agile way.
  • Define success metrics and track adoption/post-release.
  • Ensure data and product features land together with Data team.

Connaissances

Product ownership
Agile delivery
B2B SaaS
Roadmap & backlog management
Data awareness
Figma
PostHog
SQL

Outils

Figma
PostHog
SQL

Description du poste

Dedale in Paris is seeking a Product Manager (PO/PM) to own delivery across the full scope of the Dedale platform, end-to-end, from discovery to shipped features. You will join the product and engineering team, report directly to the CPO, and work closely with data and research teams as well as an external design partner.

You own your product area end-to-end: shape the roadmap, write specs, guide engineering, and drive outcomes. High autonomy, emphasis on data alignment and measurable success.

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