Top Tech Jobs & Startup Jobs in Montreal

Leads DNV’s global customer success function for digital and AI-enabled offerings. Defines strategy, builds and develops the customer success team, establishes scalable onboarding and adoption processes, and partners with senior stakeholders, product, delivery, and support teams. Owns customer health, adoption, feature usage, value realization, and growth measurement while addressing adoption barriers and promoting responsible AI use across business groups and regions.

Drives aerospace certification and training sales across North America through prospecting, relationship development, consultative selling, proposals, negotiations, and closing. Identifies client training needs, maintains CRM pipeline data, monitors market activity, and collaborates with trainers, operations, marketing, and certification teams. The role is remote within Canada and requires travel of up to 25% annually, primarily to U.S. trade shows and conferences.

Manages strategy, discovery, roadmap development, prioritization, delivery, adoption, and continuous improvement for an AI-enabled digital workflow product. Translates customer and business needs into product capabilities, collaborates with UX, engineering, data, and AI teams, defines requirements and success metrics, validates concepts, supports launches, and drives measurable user and business outcomes.

Leads end-to-end UX design for complex, data-dense enterprise workflows and applications. Responsibilities include managing a code-first design system, defining interaction patterns, creating high-fidelity Figma and coded prototypes, conducting user research, and partnering with product, engineering, and domain experts. The role also establishes design standards, reviews implementation quality, coaches colleagues, and incorporates AI tools into design and prototyping workflows.

Owns enterprise data-services product roadmaps, backlogs, specifications, prioritization, delivery, adoption, and success metrics. Partners with UX, engineering, AI, data, and energy-domain experts to transform advisory workflows and deliver secure, integrated, AI-enabled platform capabilities. Leads discovery, cross-functional delivery, rollout, stakeholder communication, and continuous improvement across global user groups.

Conducts geospatial data collection, processing, analysis, modeling, automation, and visualization for energy and environmental projects. Develops GIS tools and services using ESRI applications, Python, ArcPy, ModelBuilder, and JupyterLab. Produces maps, reports, and analytical inputs for renewable energy assessments, site selection, environmental studies, and energy equity evaluations. Collaborates with multidisciplinary teams and supports digital transformation. The role is based in a hybrid DNV office setting and includes occasional site visits and travel up to 5%.