Top Tech Jobs & Startup Jobs in Vancouver

Leads a Vancouver-based field sales district by hiring, coaching, and motivating quota-achieving Account Executives. Partners with the team on prospecting, discovery meetings, demos, trade shows, and local business development. Uses Salesforce and CRM reporting to manage forecasts, productivity, conversion rates, and new business growth. Collaborates cross-functionally to ensure customer expectations are met through delivery.

Drive new customer growth for Toast among Asian cuisine restaurants in Vancouver. Responsibilities include following up on marketing-qualified leads, generating referrals, conducting Mandarin-language discovery calls and product demonstrations, preparing quotes and contracts, closing sales, positioning Toast against competitors, and supporting successful customer onboarding. The role requires fluent written and spoken English and Mandarin and is based from a local home office.

Leads product marketing strategy and execution, including positioning, messaging, customer and market insights, product launches, go-to-market programs, competitive strategy, sales enablement, and marketing content. Partners cross-functionally with Product, Sales, Customer Success, Demand Generation, Analytics, and Creative teams to drive customer adoption, pipeline, revenue, and market growth.

Build, manage, and optimize automated lifecycle marketing journeys across onboarding, activation, adoption, retention, renewal support, cross-sell, and expansion. Lead behavior-based segmentation, personalization, AI-enabled workflows, campaign testing, performance reporting, and predictive targeting. Partner with Product Marketing, Sales, Customer Success, Revenue Operations, Product, and Analytics to increase engagement, product adoption, retention, pipeline, bookings, and revenue.

Lead international integration engineering by architecting scalable distributed systems and an AI-powered development harness for partner integrations. Guide technical strategy, mentor engineers, review architecture and code, establish development and deployment best practices, and deliver production solutions. Collaborate with product, design, QA, UX, and partner engineering teams while using Java, Kotlin, event-driven messaging, and cloud technologies.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Design, build, deploy, and maintain scalable backend features and APIs for enterprise restaurant products. Lead complex projects, ensure quality with automated testing, monitor rollouts, collaborate with UX/PM, mentor engineers, and partner across teams to improve functionality and reliability for customers.