Jobs at Vooban Inc.

Le ou la partenaire d'affaires RH gère le cycle de vie complet des employés, conseille les gestionnaires sur les enjeux de mobilisation, performance et relations de travail, et pilote les processus RH, la rémunération, l'équité salariale, la conformité, la SST et les avantages sociaux. La personne optimise les processus grâce à l'IA, produit les indicateurs RH et contribue à une expérience employé moderne dans un environnement technologique en évolution.

Développer et lancer des produits IA agentiques, notamment des systèmes multi-agents, outils d’automatisation du développement logiciel et plateformes d’orchestration. Concevoir des architectures robustes et scalables, intégrer des APIs et services externes, industrialiser les workflows, contribuer à la mise en production et optimiser les performances, coûts et délais d’exécution. Participer aux pratiques DevOps, CI/CD, observabilité, sécurité et décisions d’architecture en collaboration avec les équipes produit et techniques.

Vooban accepte les candidatures spontanées de personnes dynamiques, passionnées et originales, capables de contribuer de façon autonome et d’accomplir de grandes choses au sein de l’équipe.

Gère simultanément plusieurs projets, équipes, échéanciers, budgets, risques et changements. Coordonne les Team Leads, architectes et clients, assure la planification, le suivi de la performance, la reddition de comptes et le respect des engagements. Le poste exige du leadership, une excellente communication, l’utilisation de Confluence et Jira, ainsi qu’une expérience importante en gestion de projets, programmes et portefeuilles.

Développer et gérer des relations d’affaires avec des clients potentiels et existants, transformer les leads en opportunités, coordonner les équipes de prévente et de marketing, participer à des événements de réseautage, préparer les offres de services et contrats, et assurer le suivi rigoureux des comptes dans le CRM. Le rôle exige une expérience confirmée en vente consultative dans des environnements complexes, idéalement en IA ou transformation numérique.

Lead a Montreal-based technical development team, balancing approximately 60% people management with 40% coding. Responsibilities include prioritization, performance and resource allocation, sprint delivery, team alignment, mentoring, and maintaining production systems. The role requires significant technical team leadership experience, strong development knowledge, decisive communication, and the ability to balance business objectives with employee growth.

Lead a technical development team in Québec while remaining hands-on with code. Responsibilities include prioritizing work, allocating resources, communicating goals, ensuring timely sprint delivery, making technical and performance decisions, and developing team members. The role is approximately 60% people management and 40% coding. Candidates need significant technical team management experience, a strong software development background, and familiarity with modern cloud, frontend, backend, database, containerization, and CI/CD technologies.

Develop AI solutions and architectures in Python, bring data science work into production, and establish reliable AI development and deployment practices. The role spans cloud and DevOps collaboration, MLOps, quality assurance, documentation, and reusable tooling for agentic AI. You will support 5 to 10 concurrent projects, work closely with data scientists, standardize engineering practices, and independently identify technical needs across evolving project contexts.

Conçoit des architectures cloud et logicielles, estime les coûts d’infrastructure et accompagne les équipes avant-vente et les clients. Guide les Tech Leads dans leurs choix technologiques, fournit du soutien technique, améliore les systèmes existants et favorise l’intégration de l’IA. Le rôle influence plusieurs équipes sans gestion hiérarchique et exige une expertise technique approfondie en architecture, DevOps et développement logiciel.

Build and deliver AI proof-of-concepts from end to end, primarily involving LLMs, agents, data extraction, workflow automation, computer vision, and IoT. Partner with sales and presales teams on client calls, clarify business needs, assess ROI, define scopes, explain technical capabilities, and identify project risks. Manage multiple POCs independently while communicating complex AI concepts clearly to technical and business audiences.

Conçoit, développe et maintient des pipelines de données robustes et évolutifs. Intègre des données provenant d’API, bases de données, fichiers et Kafka, puis collabore avec les équipes IA, BI et RO. Assure la qualité, les tests, la documentation, le versionnement et le déploiement du code avec Git/GitLab et CI/CD. Agit comme référence pour la structure et la provenance des données et contribue à la mise en production des solutions.

Develops and delivers AI solutions for diverse client projects, including data exploration, model selection, training pipelines, cloud and edge deployment, and result visualization. The role covers machine learning, deep learning, RAG, LLMs, NLP, computer vision, and robotics. The AI Scientist owns projects end to end, manages timelines and budgets, collaborates with experts, and advises clients in French and English.

Lead the technical direction of data engineering projects by designing scalable architectures, coaching data engineers, translating business needs into technical decisions, and contributing to critical code. Ensure delivery quality through testing, code reviews, validation, CI/CD, version control, and production deployment. Collaborate with AI, operations research, BI, and stakeholder teams while promoting effective use of AI tools and continuous team development.

Build Vooban’s enablement function from scratch for internal teams and client-facing teams. Responsibilities include creating product reference materials, technical onboarding and deployment playbooks, sales curriculum, demo and architecture libraries, banking security and compliance materials, support troubleshooting paths, and a self-service knowledge base. The role also defines strategy, operating models, metrics, product-release enablement cadence, and eventually recruits and leads an enablement team.

Owns cross-functional operational initiatives from research through completion, prepares executive and board materials, maintains OKRs and dashboards, improves CRM and account-health data, automates recurring processes, and analyzes business data. The role also coordinates commitments across Client, Product, Sales, Marketing, and Finance teams, conducts market and vendor research, and supports team growth in a startup or scale-up environment.

Lead executive conversations to identify business challenges, develop long-term technology visions and transformation roadmaps, build ROI-focused business cases, and lead complex RFP/RFI responses and proofs of concept. Advise clients on AI, BI, software, modernization, and digital transformation while partnering with sales, technical experts, and delivery teams to shape enterprise solutions and account strategy.

Lead the technical direction of AI projects, selecting suitable technologies, designing scalable and resilient solutions, and overseeing data and model deployment pipelines. Mentor AI scientists, promote coding quality and best practices, anticipate technical risks, optimize performance, and facilitate knowledge sharing. The role requires regular access to offices in Quebec City or Montreal within a hybrid work model.

Defines client product and project vision, documents business processes and needs, facilitates workshops, designs solutions with designers, prioritizes backlogs, writes user stories, aligns roadmaps with budgets and expectations, and supports production launches. The role requires bilingual French-English communication, client advisory skills, leadership, analytical thinking, and at least five years of experience, preferably in an Agile environment.

Conçoit et anime des ateliers clients, cartographie les workflows et identifie les occasions d’agentisation. Définit le context engineering, les stratégies de déploiement et les adaptations techniques pour des environnements principalement on-premises. Évalue les options d’architecture avec les développeurs et les clients, accompagne l’adoption par la formation et le coaching, mesure l’impact des déploiements et alimente le backlog produit. Le rôle exige une forte capacité technique, une expérience client complexe, une excellente communication bilingue et une aisance avec l’ambiguïté.

Provide Level 1 and Level 2 technical support to employees through Slack, email, and Jira. Diagnose workstation, printer, network, and access issues; manage Mac devices and MDM; administer Google Workspace and internal tools; support cloud and UniFi environments; assist with endpoint security; document solutions; and contribute to IT infrastructure improvements and AI-enabled workflows.