Top Tech Jobs & Startup Jobs in Vancouver

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

Lead two mobile pods (Platform and Product) to define cross-platform strategy, improve build/CI/CD and performance SLOs, deliver customer-facing features, drive platform migrations, and manage/hire 13-14 mobile engineers while enforcing engineering best practices and reliability.

Own and optimize Okta identity infrastructure and Google Workspace, build Workato automations (OWL-IT), support IAM initiatives (RBAC, provisioning, SCIM), act as Tier 3 escalation for identity incidents, ensure StateRAMP/FedRAMP compliance, document runbooks, and collaborate with Security/GRC to strengthen identity security.

Lead architecture and implementation of routing, dispatch, and real-time tracking systems. Design scalable backend services and APIs, integrate with TMS/ERP systems, build dispatcher web interfaces, mentor engineers, and collaborate with product, design, and mobile teams to deliver fleet optimization features at scale.

As a Software Engineer II, you'll develop generative AI applications, enhance sales operations through AI tools, and collaborate with engineering teams on a remote basis.

Manage strategic relationships with large fleet customers, develop joint success plans, run executive business reviews and workshops, recommend operational workflow changes, coordinate cross-functional teams, mentor other CS staff, and drive adoption and value from the Samsara IoT platform.

In this role, you will design and build scalable mobile platform infrastructure, optimize performance, and lead technical initiatives across multiple engineering teams.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

Lead scoping, planning, and execution of large-scale sales transformation projects. Drive cross-functional collaboration, change management, KPI-driven reporting, and continuous improvement to increase sales efficiency, forecasting accuracy, and customer/employee experience.