Top Tech Jobs & Startup Jobs in Vancouver

Manage and expand Apryse’s partner ecosystem across North America and Latin America. Responsibilities include recruiting and onboarding partners, developing joint business plans, enabling partners, generating pipeline, supporting co-selling and account expansion, tracking performance, and collaborating with Sales, Marketing, and Presales. The role requires strong relationship management, commercial judgment, CRM experience, and familiarity with software partner ecosystems.

Supports Sales and internal teams throughout the commercial lifecycle of Enterprise Imaging solutions. Investigates and resolves invoicing questions, billing discrepancies, disputes, credits, adjustments, and rebills. Coordinates with customers, Sales, Accounts Receivable, Contract Operations, and other stakeholders to ensure alignment with contracts and billing policies. Maintains issue documentation, supports compliance, identifies recurring problems, and recommends process improvements while maintaining strong customer and stakeholder relationships.

Own the full sales cycle for Airwallex’s financial technology solutions across US SME and Growth markets. Responsibilities include prospecting, discovery, negotiation, closing, onboarding, early customer success, pipeline generation, outbound sales, revenue growth, customer consultation, cross-functional partnership, and improving sales motions across ecommerce, SaaS, professional services, and technology-enabled businesses.

Lead development of Zscaler’s Client Connector Cloud service, improving reliability, availability, scalability, and architecture. Make product architecture decisions, collaborate with architects on roadmaps, lead engineering initiatives, and deliver secure, highly scalable cloud-based services. The role requires extensive Java application development experience, enterprise security or networking product expertise, and strong knowledge of distributed systems, APIs, Kubernetes, microservices, databases, and cloud platforms.

Manage enterprise customers after implementation, helping them achieve business value from Samsara’s IoT platform. Develop joint success plans, lead executive business reviews and customer workshops, recommend workflow improvements, explain platform capabilities, resolve barriers, and mentor Customer Success and Support teams. Collaborate with Sales, Support, Sales Engineering, Product, and Engineering while supporting customers across transportation, utilities, field services, and other physical-operation industries.

Leads data engineering for AI and machine learning fraud-detection products. Responsibilities include integrating disparate data sources, building scalable and automated pipelines, supporting modeling workflows, deploying production artifacts, creating documented data products, improving reusable processes, collaborating cross-functionally, leading projects, and mentoring junior engineers. Required technologies include Python, PySpark, Airflow, Hadoop, SQL, Databricks, Linux/Bash, CI/CD, and JIRA.

Own fraud analytics for Remitly’s Global Card and Store of Value products. Build SQL pipelines, metrics, analytical frameworks, experiments, and recommendations that balance fraud losses, approval rates, customer friction, and growth. Partner with product, engineering, operations, program managers, and processing partners to design fraud controls, identify emerging risks, and influence roadmaps. Provide technical leadership through reviews, mentoring, onboarding, and adoption of AI-assisted analytical workflows.

Own the hardware and firmware product strategy for Motive’s connected equipment-monitoring devices. Lead hardware NPI from concept through mass production, regulatory certification, and launch; manage the deployed device base, reliability, battery life, connectivity, and firmware updates; and guide partner-network integrations. Collaborate across engineering, manufacturing, quality, supply chain, cloud, mobile, and go-to-market teams while translating customer needs into technical requirements and roadmap priorities.

Leads a team developing and deploying shared agentic AI and machine learning capabilities for commercial aviation products. Responsibilities include AI safety, quality, governance, platform enablement, roadmap development, cross-functional collaboration, stakeholder engagement, and people management. The role requires production AI/ML delivery experience, agentic AI expertise, and the ability to guide technical decisions and enterprise partnerships.

Build Superhuman Mail’s AI platform, including MCP tools, agentic workflows, personalization, LLM evaluation systems, and model-selection infrastructure. Partner across teams to provide reusable AI capabilities, ship production LLM features, and improve modeling approaches, data collection, and quality measurement. The role combines backend engineering with applied AI and requires adapting quickly as the field evolves.