Top Tech Jobs & Startup Jobs in Calgary

Build and operate high-throughput experimentation and recommendation infrastructure. Design APIs and services, use agentic AI workflows (LLMs) for development, ensure performance and reliability, participate in on-call, mentor teammates, and codify AI-native engineering practices.

The Principal Product Manager will drive engagement growth for Life360's member experience, collaborating closely with cross-functional teams to enhance user engagement and facilitate deeper connections through the app while leveraging AI tools.

Design, build, and operate internal developer platform components—CI/CD pipelines, Kubernetes-based tooling, GitOps workflows, and IaC—improving developer velocity and reliability. Mentor engineers, drive cross-team platform initiatives, track metrics, contribute to incident response, and build AI-powered automation for detection, triage, and developer productivity.

Life360 seeks a Senior Software Engineer to enhance AI-native mobile development tools. The role focuses on maintaining infrastructure for continuous testing and quality automation, collaborating with teams to improve product development, and applying AI insights for efficient workflows.

Build and maintain large-scale infrastructure platforms (Kubernetes, AWS) using AI-native tooling. Design scalable, resilient platform services, resolve complex failures, drive cost efficiency, participate in on-call rotation, mentor engineers, and automate infrastructure via IaC and CI/CD.

The Staff Data Engineer will architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.

Build and maintain backend cloud services for connected devices, focusing on telemetry ingest, device state management, command/control, and integrations. Own features from design through production, use AI-native engineering practices, collaborate with firmware/mobile/platform teams, write and test reliable code, participate in on-call rotations, and contribute to incident response and documentation.

Lead architecture and implementation of high-throughput, low-latency AdServer and Exchange services. Design scalable, resilient distributed systems, integrate demand/supply partners, improve RTB/auction capabilities, advance observability and automation (including AI-driven testing/IaC), and mentor engineers to increase platform reliability and revenue growth.

Partner with web product, marketing, engineering, and finance teams to own web analytics strategy and drive actionable decisions. Design and evaluate experiments and causal analyses, define metrics, ensure event instrumentation, and translate findings into product and growth recommendations. Use SQL and Python/R for statistical analysis, deploy experimentation platforms, and help shape AI-native analytics automation. Focus is on measurement, causality, and moving teams to act—not production ML.

Embed with product, engineering, marketing, and finance teams to own analytical narratives, establish causality via experimentation and causal inference, define measurement strategies, drive actionable insights, shape AI-native analytics tooling, and mentor senior analysts. Focus is on decisions and measurable impact rather than dashboards.