Top Tech Jobs & Startup Jobs in Calgary

Generate and qualify enterprise sales opportunities for Samsara’s SaaS products by conducting approximately 50 daily cold calls, mapping accounts, engaging executives, and building product demand. The role requires resilience, curiosity, collaboration, and the ability to learn technical concepts and use AI in daily workflows. Successful representatives may advance to closing sales roles within two years.

Partners with GTM and Sales leaders to align talent strategies with business outcomes. Diagnoses organizational and people challenges, delivers talent management and compensation programs, supports retention, collaborates with People teams, reinforces company culture, and uses data and AI tools to inform decisions. Requires strong consulting, coaching, communication, analytical, and project execution skills. Travel is required approximately once per quarter.

The Senior People Partner will strategically support GTM and Sales leaders, aligning talent priorities with business outcomes. Responsibilities include diagnosing organizational needs, managing talent and compensation programs, improving retention, partnering with People teams and centers of excellence, reinforcing company culture, and influencing leadership through data-driven insights. The role requires strong communication, coaching, consulting, facilitation, analytical, and problem-solving skills, plus experience using AI to automate routine work.

Build and govern design system components, tokens, patterns, guidelines, AI design and code-generation workflows, and feedback loops for web and mobile products. Translate design decisions into accessible, responsive, performant, maintainable code while partnering with designers, engineers, and product managers. Establish contribution and deprecation models, evaluate AI-generated work, share effective AI workflows, and drive consistent product quality and adoption across teams.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.

Lead large, ambiguous product design initiatives across multiple product areas from discovery through launch and iteration. Define interaction patterns and visual systems, engage strategic customers, partner with Product and Engineering leaders, use AI tools in design workflows, ship code across design systems, web products, and mobile apps, and mentor other designers.

Designs and maintains reliable data pipelines and computed tables using SparkSQL and PySpark. Integrates IoT, product, customer, external, unstructured, and ML-related data into scalable data models supporting analytics, causal inference, model training, and dashboards. The role requires ETL development, data orchestration, API integration, strong data quality and uptime, and collaboration with Data Science, AI/ML, Analytics, and engineering teams. This is a remote position for candidates residing in Canada.

Lead creative direction for digital, print, multimedia, branding, and product communications at a B2B SaaS company. Manage digital designers, own a tokenized Figma design system, prototype with AI-assisted tools, and collaborate across product, marketing, sales, and UX. Oversee projects from concept through delivery while optimizing digital experiences for engagement and conversion. Hire, mentor, and develop an inclusive, high-performing team.

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Build and operate scalable full-stack software and AI-powered products for IoT-driven physical operations. Responsibilities include defining technical strategy, developing backend services, APIs, frontend and potentially mobile features, transforming AI capabilities into customer products, partnering across functions, leading complex projects, mentoring engineers, and improving engineering standards.