Top Tech Jobs & Startup Jobs in Calgary

Leads IT audit planning, execution, and reporting across SOC 1, SOC 2, financial statement, ITGC, and SOX programs. Identifies control gaps, manages remediation, advances IPO readiness, and develops AI-enabled audit workflows. The role coordinates with Engineering, Finance, Legal, and People teams, manages external auditors, and mentors direct reports while improving compliance efficiency and stakeholder outcomes.

Lead StackAdapt’s internal AI platform team, overseeing platform-scale onboarding of APIs, UIs, and knowledge systems. Own the LLM evaluation pipeline, partner with product and feature teams, establish AI UX patterns, architect scalable APIs and backend systems, and ensure production performance. Hire and mentor full-stack engineers, promote engineering best practices, conduct code reviews and interviews, prioritize roadmaps, and contribute code to high-impact technical initiatives.

Partner with Account Executives and cross-functional teams to sell StackAdapt's marketing technology portfolio to enterprise marketers. Own pipeline, source and close opportunities, lead executive discovery and demos, develop account strategies, and act as a subject matter expert on customer data, AI-powered marketing, journey orchestration, and measurement.

Leads and scales StackAdapt’s eCommerce new-business sales organization across North America. Responsibilities include developing outbound sales processes and playbooks, managing pipeline and forecasting, coaching Sales Directors and Account Executives, partnering with Marketing and Revenue Operations, improving lead quality, adopting AI-enabled sales technologies, and representing the company at industry events. The role builds a predictable revenue engine through disciplined execution, account-based selling, and cross-functional go-to-market leadership.

Owns advanced reporting, dashboards, data analysis, KPI development, ETL requirements, and data quality initiatives for internal stakeholders. The role delivers recurring and ad hoc reports, builds automated workflows, documents data definitions and processes, communicates insights to senior leaders, and supports BI sprint planning. Strong SQL, data visualization, stakeholder communication, and systematic data quality problem-solving are required.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.

Manage programmatic advertising campaigns across multiple channels, including trafficking, pixel implementation, QA, pacing, optimization, troubleshooting, monitoring, and performance reporting. Collaborate with Client Services and Sales teams, provide campaign setup expertise, translate performance insights into recommendations, and develop scalable best practices for high-quality campaign execution.

Develop and maintain automated and functional tests covering API, UI, integration, system, and regression scenarios. Integrate scalable test automation into CI/CD pipelines, collaborate with engineering and product teams, provide test feedback, and contribute to technical planning and code reviews. The role also involves testing edge cases, compatibility, concurrency, backend systems, and large relational datasets using SQL.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.