Top Tech Jobs & Startup Jobs in Calgary

Provide technical assistance and troubleshooting for Calix Access products, focusing on Cloud-based EMS applications, while collaborating with teams to resolve network issues.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

Manage product launch processes for customers, develop enablement programs, collaborate on go-to-market strategies, gather product feedback, and drive customer success with SmartMDU solutions.

Lead the marketing strategy for Calix's Tier 1 and Tier 2 service provider solutions, focusing on messaging, customer engagement, and collaborative marketing efforts while ensuring technical fluency and effective storytelling.

Oversee development processes for cloud services, manage resources, coordinate product releases, drive technical discussions, and collaborate with cross-functional teams to ensure successful project completion.

The role involves leading a team to manage technical programs for cloud services and networking hardware, ensuring alignment with business strategies and optimizing program execution.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Lead product marketing for Calix Access and Subscriber Solutions, driving growth in MSP/MDU markets and managing a product marketing team. Collaborate cross-functionally to develop strategic offers and create compelling marketing content.

Drive market expansion of Calix SmartLife services, positioning solutions, leading product marketing teams, and collaborating with stakeholders for strategic growth.

Design, develop, and maintain enterprise M365 Copilot agents using Copilot Studio. Translate business requirements into secure technical designs, implement API integrations and A2A orchestration, apply software engineering best practices, conduct testing, and collaborate with governance and stakeholders to deliver production-grade AI solutions.