Top Tech Jobs & Startup Jobs

Conçoit et maintient les systèmes de progression et de récompenses de Rainbow Six Siege, notamment le Battle Pass, les récompenses saisonnières et les mécaniques d’engagement. Collabore avec les équipes de monétisation, de design et d’analytique pour équilibrer les systèmes, simuler leur impact, suivre la santé de l’économie du jeu et définir les métriques pertinentes. Réalise également des benchmarks concurrentiels et documente les designs et changements de balancing.

Operate and tune Rainbow Six Siege’s progression and reward systems, including Battle Passes, XP, levels, events, and post-match rewards. Collaborate with monetization, design, and analytics teams to support onboarding, engagement, retention, and monetization goals. Monitor game economy performance, define metrics, simulate balancing changes, benchmark competing live-service games, and document system updates.

Partners with leaders and managers to deliver HR strategies across global teams. Responsibilities include organizational design, talent and succession planning, change management, employee relations, performance management, onboarding and offboarding, engagement, coaching, and HR analytics. The role supports organizational transformation, employee development, retention, and a respectful global culture while advising on French employment law and HR processes.

Create and integrate real-time visual effects such as smoke, fire, explosions, snow, and water for a game. Collaborate with creative, programming, and cross-functional teams to design impactful effects, develop original textures, use particle systems, troubleshoot issues, and optimize performance in the game engine. Refine work through playtesting and team feedback while applying 3D production, artistic, compositing, shader, and procedural workflows.

Creates and integrates real-time environmental visual effects such as fire, smoke, explosions, snow, and water for a video game. Collaborates with creative, programming, and development teams; uses particle systems, textures, and game engines; optimizes effects for performance; troubleshoots technical issues; incorporates playtest, team, and community feedback; and documents the creative process in a portfolio.

Lead combat design for For Honor’s multiplayer experience by balancing hero abilities, movesets, and interconnected gameplay systems. Analyze player behavior and combat data, prototype and iterate gameplay features, assess broader player impact, and collaborate with multidisciplinary teams to align systems with creative goals. The role also includes mentoring designers, communicating balancing decisions, and supporting competitive multiplayer and progression systems.

Conçoit et équilibre les systèmes de combat multijoueur de For Honor. Analyse les données de gameplay et le comportement des joueurs, ajuste les capacités des héros et les mouvements, prototype des fonctionnalités et évalue leur impact sur l’écosystème de combat. Collabore avec des équipes multidisciplinaires pour traduire la vision créative en systèmes de jeu, soutient les fonctionnalités compétitives et le développement à long terme de la méta, et accompagne les membres de l’équipe par le mentorat et le partage des connaissances.

Le ou la concepteur·trice technique senior soutient la conception de niveaux en intégrant, validant et maintenant le contenu des missions, les flux de jouabilité et les séquences à embranchements. La personne crée des systèmes de scriptage visuel basés sur des nœuds, améliore les outils internes, analyse les billets Jira, résout les problèmes techniques et collabore avec des équipes multidisciplinaires pour assurer la qualité et la cohérence des expériences de jeu.

Supports level design teams by implementing, integrating, validating, and maintaining mission content, gameplay flows, branching sequences, and visual scripting systems. Reviews implementations against technical and creative standards, troubleshoots mission workflow issues, manages Jira tickets, supports internal mission creation tools, and collaborates with cross-functional teams to improve production quality and efficiency.

Build and maintain production machine learning models and AI products that improve player retention and engagement. Responsibilities include recommendation engines, segmentation, propensity scoring, Next Best Action systems, AI agent workflows, and personalization solutions. The role requires translating stakeholder needs into pragmatic ML products, collaborating with analysts, engineers, and product teams, and contributing to model deployment, decisioning capabilities, and the AI product roadmap.