Rakam AI

www.rakam.ai

2 Jobs

12 Employees

About the Company

À propos Chaque révolution technologique redéfinit la manière de concevoir les logiciels. Aujourd’hui, c’est l’Intelligence Artificielle. Chez Rakam, nous aidons les éditeurs SaaS, les logiciels B2B et les équipes produit à reconstruire leurs applications autour de l’IA : non pas comme une option, mais comme un véritable moteur de valeur. Nos activités 1. Services d’ingénierie IA → Co-construction de systèmes d’IA sur mesure : agents, moteurs de recherche, extraction, recommandation, analyse documentaire. 2. Agents IA pour logiciels métiers → Des agents faciles à configurer pour vos progiciels : support utilisateur, business intelligence, transfert de données, génération de documentation, etc. 3. Logiciel de management IA → Une plateforme d’aide à la construction, au déploiement et au suivi de vos systèmes d’IA. Exemples de projets réalisés → LemonLearning (DAP) → Chatbot intelligent de support intégré au produit → Val Software (ERP) → Moteur de matching entre offres et candidats → Soeman (CRM) → Agents IA de gestion de données et génération automatique de rapports → Lingueo (LMS) → Évaluation automatique du niveau de langue Notre conviction Dans cinq ans, vos clients ne se demanderont pas si votre logiciel intègre l’IA, mais s’il a été conçu autour d’elle. Pensé et conçu en France. Déployé avec intelligence artificielle. Apprécié par vos utilisateurs. contact@rakam.ai | Parlons de votre offre IA.

Listed Jobs

Company Name: Rakam AI
Job Title: AI Project Manager
Job Description: **Job Title** AI Project Manager **Role Summary** Lead cross‑functional AI initiatives, delivering high‑quality products on schedule while managing client relationships and guiding technical teams toward continuous improvement. **Expectations** - Drive end‑to‑end AI projects, aligning technical execution with business objectives. - Maintain strong client engagement, ensuring satisfaction and repeat business. - Foster a culture of learning and collaboration within engineering and data science teams. **Key Responsibilities** 1. Define project scope, priorities, and timelines; coordinate AI, NLP, DevOps, and software engineering resources. 2. Ensure delivery of AI systems (Python, TensorFlow/PyTorch, Hugging Face) within scope, budget, and quality standards. 3. Conduct agile planning, sprint reviews, backlog grooming, and use Jira/Notion for tracking. 4. Manage C‑level client interactions, anticipate needs, and report progress. 5. Lead technical reviews, quality assurance, and performance validation of AI deliverables. 6. Identify improvement opportunities, recommend innovations, and influence product roadmap. 7. Mentor and coach technical staff, promoting skill development and knowledge transfer. **Required Skills** - Expertise in AI system development (Python, TensorFlow/PyTorch, Hugging Face). - Strong project management with agile methodologies (Scrum/Kanban). - Proficiency in Jira, Notion, or equivalent PM tools. - Experience leading multi‑disciplinary technical teams. - Excellent written and verbal communication in English and French. - Ability to translate business goals into technical solutions and articulate technical concepts to non‑technical stakeholders. **Required Education & Certifications** - Bachelor's or higher in Engineering, Computer Science, AI, or related technical field, or business degree with proven experience in AI development. - Minimum 3 years of project management in AI/machine‑learning or complex software systems. - PMP, Scrum Master, or equivalent certifications preferred but not mandatory.

Company Name: Rakam AI
Job Title: AI Product Manager
Job Description: **Job Title** AI Product Manager **Role Summary** Lead the development and delivery of core AI product offerings, including open‑source SDKs, observability interfaces, and ready‑to‑use AI components. Own the product vision, roadmap and end‑to‑end release cycle within a fast‑paced, developer‑focused B2B environment. **Expectations** - Own the full product lifecycle for highly technical AI tools. - Work cross‑functionally with AI engineers, backend, frontend, and DevOps teams. - Translate customer needs and internal learnings into actionable product directions. - Drive quality, developer experience (DX), and technical consistency. - Adapt quickly to evolving scope and market dynamics. **Key Responsibilities** 1. **Product Leadership** – Define vision, prioritize roadmap, and structure product evolution for SDKs, observability interfaces, and plug‑in AI components. 2. **Product Delivery** – Ensure timely, high‑quality releases; coordinate IA, backend, frontend, and DevOps teams to maintain product consistency. 3. **Market Discovery & Strategy** – Analyze developer usage patterns, uncover industrialisation opportunities from client projects, and identify new market openings. 4. **Client & Feedback Management** – Collect and synthesize insights from C‑level leaders and technical teams; translate into product decisions and advocate client voice internally. 5. **Cross‑Team Enablement** – Promote adoption of product components, champion best practices, and align project and product teams around a shared vision. 6. **Technical Specification & Experience** – Write detailed specifications, define API contracts, design user workflows, and ensure a flawless developer experience. **Required Skills** - 3+ years product management on complex, developer‑facing solutions (DevTools, APIs, ML, cloud, B2B SaaS). - Deep understanding of modern AI ecosystems: LLMs, transformers, pipelines, evaluation, observability. - Strong API design, architecture, CI/CD, and cloud proficiency. - Proficient in PM frameworks: Discovery, Delivery, Roadmapping, Metrics. - Excellent bilingual communication (English & French). - Proven ability to thrive in fast‑moving, shifting product environments. **Required Education & Certifications** - Advanced degree in engineering, computer science, AI, or related technical field; or business background with extensive technical product experience. - No specific certifications required, but experience in ML/AI product management or related technical credentials is a plus.