Top Tech Jobs & Startup Jobs in Vancouver

Lead and mentor a 5–7 person engineering team responsible for Travel partner integrations, embedded protection products, hosted purchase flows, and travel ancillaries. Translate product goals into technical roadmaps, guide architecture and delivery, promote operational excellence, and ensure reliable microservices-based systems. Drive responsible adoption of AI-assisted development tools while partnering with product, design, engineering, and external partner teams.

Leads an engineering team building partner-facing analytics and data products, including Claims Benefit Intelligence and Sales Dashboard. Owns technical roadmaps, metrics governance, reliability, data quality, and operational excellence. Develops production-grade agentic AI features with evaluation and guardrails while partnering across Product, Data, AI, Insurance Operations, and commercial teams. The role also requires growing engineers, guiding AI-assisted development, and ensuring insights drive partner decisions.

Own the company-wide data strategy, data product roadmap, platform architecture, governance, and quality frameworks. Lead adoption of a trusted shared data foundation supporting business domains and AI/ML workloads. Partner with commercial, engineering, product, analytics, and data science teams to create valuable partner-facing data propositions. Build and develop a high-performing data organization while influencing executives and partners in a regulated environment.

Lead reliability and infrastructure projects across teams, architect highly available AWS and GCP environments, and build infrastructure-as-code, CI/CD, observability, automation, and security solutions. Manage incidents, champion SLOs and error budgets, improve system performance, optimize capacity and costs, and mentor engineers. The role also involves developing runbooks, reducing operational toil, supporting disaster recovery, and applying AI-assisted development to production engineering workflows.

Build and maintain backend-heavy logistics and shipping protection systems, including data integrations for automated claim resolution and partner-facing APIs. Own complex features from design through delivery, contribute to infrastructure and supporting systems, make scalable technical decisions, and collaborate with Product, Partner, and global teams. The role requires strong TypeScript, NestJS, and Next.js skills, AI-assisted development experience, cloud and containerization knowledge, and excellent communication.

Leads data operations, analytics, merchant and regulatory reporting teams. Owns semantic-layer metric definitions, data governance, BI adoption, reporting accuracy, OKR instrumentation, and data automation. Partners with engineering, data science, product, actuaries, and executives to translate business needs into trusted data solutions. Builds team capability, improves data literacy, and drives cross-functional accountability across technical and business teams.

Own the strategy, roadmap, development, and execution of Agentic Insights and other data products. Identify proprietary signals across company datasets and transform them into scalable, partner-facing AI-powered insights. Collaborate with engineering, design, operations, and partners; prioritize the backlog; analyze user feedback and product metrics; and deliver products that improve partner decision-making and business outcomes.

Build and evolve CG Admin, a mission-critical internal platform for insurance configuration. Design and implement full-stack features, own complex areas end-to-end, integrate AI coding tools and agentic workflows, ensure reliability and observability, drive technical quality, and mentor engineers to adopt AI-first development practices.

Serve as a technical pre-sales and post-implementation lead: design integrations, build POCs, troubleshoot partner issues, present insights using SQL/BigQuery/Data Studio, manage multiple partner engagements, and recommend automation and process improvements to optimize client experience and growth.

Actuary supporting pricing, segmentation, risk management, product development, and portfolio optimization for property and casualty insurance products. Responsibilities include pricing reviews, loss-ratio monitoring, underwriting recommendations, stakeholder collaboration, data modeling, and dashboard development. The role requires actuarial expertise, strong analytical skills, SQL and Excel proficiency, and experience communicating insights to technical and non-technical stakeholders.