Top Tech Jobs & Startup Jobs in Calgary

The Engineering Manager will lead a team in building a chat copilot framework for optimizing digital advertising campaigns. Responsibilities include managing projects, collaborating with stakeholders, conducting code reviews, and promoting best development practices. The role also involves hiring and mentoring team members, ensuring high performance and alignment with company objectives.

The Web Content Manager will lead the web team in creating and optimizing website content to enhance brand awareness and organic traffic. Responsibilities include project management for website updates, conducting content audits, and collaborating with developers for timely project execution while maintaining SEO best practices.

As a Legal Operations Lead, you will enhance operational efficiency within the legal team by refining processes, managing vendor relationships, and implementing technology. You will also focus on compliance, risk management, and data analytics to support the department's goals and align with the company's strategies.

The Senior/Staff Data Engineer will design scalable, real-time data pipelines for StackAdapt's digital advertising platform, work on big data ML pipeline improvements, implement custom ML algorithms, and collaborate with data scientists and engineers on complex projects.

The Business Development Lead will develop the Go-to-Market strategy for Technology Partnerships, manage a pipeline of new partnerships, and ensure successful onboarding of new strategic partnerships while maximizing revenue growth for StackAdapt.

As a Back-End Software Engineer at StackAdapt, you'll build scalable real-time micro-services primarily in Go, working with large data sets and various databases. You'll also develop software that uses messaging queues and focus on writing efficient, optimized code.

The Senior Data Scientist will develop predictive models to optimize business operations, identify high-value customers, and forecast revenue trends. Responsibilities include writing production code, collaborating with data engineers, prototyping algorithms, and making data modeling accessible to non-experts.