Top Tech Jobs & Startup Jobs in Toronto

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.

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.

Designs, develops, tests, and maintains Python-based APIs, backend services, data platforms, and AI-ready data foundations. The role involves SQL, FastAPI, cloud platforms, secure software development, CI/CD, observability, production support, and integration with enterprise applications. It collaborates with product, AI, application, architecture, reliability, and security teams in an Agile environment to deliver scalable and maintainable platform capabilities.

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%.