Job Title

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US. We are currently hiring Field Chief Technology Officer (CTO) - AI and Cloud Services for our client in the Toronto area, which specializes in OS development for AI and data stacks. Role: Field Chief Technology Officer (CTO) - AI and Cloud Services Type: Fulltime, Perm Salary Range: $185,000 - $210,000 as base salary depending on overall experience + stock options + 3 weeks vacation + benefits Location: Onsite - downtown Toronto, ON, Canada Job Description Our client is building the worlds first operating system for data and AI. Like iOS, Windows and Linux, our clients'''' end-to-end OS offers ever-evolving, automatically operated, best-of-breed open-source components tailored to each of their clients unique needs. The Role As Field CTO, you will lead a growing team of solution engineers, serve as the bridge between product capabilities and customer needs, and be handson in both architecture and client strategy. You will play a critical role in pre and postsales engagements, ensuring our customers are successful from onboarding through longterm adoption. What You''''ll Do Own the end-to-end technical engagement lifecycle for key clients Lead and scale a highperforming team of solution engineers Partner with sales, product, and engineering to define technical strategy in deals Serve as a trusted advisor to clients by designing and delivering scalable solutions Translate customer feedback into actionable insights for the product roadmap Develop and maintain technical documentation, demos, and POCs Ensure the team consistently delivers highquality solutions with a strong customer focus Required Experience 10+ years of experience in a clientfacing technical role (e.g., solutions engineering, sales engineering, solutions architecture) ideally in the SaaS/AI/Data space Proven leadership experience and a passion for mentoring and teambuilding Strong understanding of cloud infrastructure, data platforms, and modern engineering practices Excellent communication and stakeholder management skills Comfortable working in a fastpaced, ambiguous environment with crossfunctional teams Experience with data engineering, ML pipelines, or enterprise SaaS is a strong asset Ideally you will also have experience with tools like Kubernetes, Airflow, dbt, or cloud services (AWS, GCP, Azure) Background in software development or DevOps Familiarity with the data/ML tooling ecosystem #J-18808-Ljbffr