Top Tech Jobs & Startup Jobs in Vancouver

Manages a distributed team of three data scientists while personally leading North American marketing measurement. Responsibilities include campaign and event measurement, churn analysis, funnel effectiveness, AI-driven insight generation, and agentic analytics. The role requires translating complex analysis into actionable recommendations, partnering with marketing teams, coaching across time zones, and establishing sustainable delivery practices.

Design, build, and operate scalable distributed systems for millions of users. Modernize monolithic systems, improve CI/CD and testing practices, make major architectural decisions, develop technical solutions, and mentor engineers. Collaborate with product owners and designers in an agile hybrid environment while maintaining high standards for software quality, reliability, and technical excellence.

Lead the design, delivery, and operation of agentic AI workflows and applications from discovery through production. Partner with business teams to automate complex workflows, integrate AI with enterprise platforms, and establish reusable patterns, guardrails, evaluation frameworks, and monitoring. Collaborate with product owners and subject-matter experts, translate business needs into technical solutions, and coach teams to improve AI fluency and adoption.

Lead end-to-end design and delivery of reporting features and platform improvements. Build reliable, high-performance, data-heavy customer-facing reporting experiences, mentor engineers, drive testing, observability, and continuous improvement, and collaborate with product, design, and platform teams.

Lead and mentor a software engineering team to deliver roadmaps with high code quality and system health. Champion AI-native workflows, drive architectural modernization, improve developer experience, decouple legacy systems, and collaborate cross-functionally with Product and Design to deliver predictable outcomes.

Lead cross-team technical strategy and architecture for large-scale cloud-native systems. Drive CI/CD automation, microservice refactoring, SLOs, technical frameworks, and operational metrics. Mentor lead engineers, improve engineering practices, and balance technical debt with product delivery to enable secure, scalable solutions for small-business customers.

Lead refactoring of monolithic systems into distributed, scalable architectures. Influence architecture and design, improve CI/CD and developer experience, implement automated testing and TDD, mentor engineers, and deliver high-quality, highly available software for millions of users.

Design, build, and operate scalable backend services for accounting core systems. Migrate monolith to microservices, solve database scalability issues, implement resilient distributed systems, automate processes and CI/CD, apply test-driven practices, and collaborate across teams while mentoring peers and engaging stakeholders.