Top Tech Jobs & Startup Jobs in Toronto

Own enterprise sales for named Global 2000 accounts, building pipeline, developing account strategies, and leading complex SaaS deals from prospecting through close. Engage executive, marketing, data, operations, and AdTech stakeholders; use MEDDPICC; negotiate contracts; collaborate with marketing, product, sales engineering, partnerships, and customer teams; and identify expansion opportunities. Regular travel to customer offices and industry events is essential.

Partners with sales teams on complex B2B SaaS evaluations, leading technical discovery, tailored demos, prototypes, and proofs of value. Explains architecture, integrations, data flows, and tradeoffs to marketing and technical stakeholders. Supports pricing and solution scoping, troubleshoots evaluation issues, coordinates with Product and Engineering, answers competitive questions, and communicates customer feedback. Requires expertise in enterprise data or marketing platforms, Snowflake or BigQuery, customer data activation, marketing measurement, experimentation, and incremental lift.

Leads and rebuilds GrowthLoop’s technical support organization, including recruiting and coaching distributed support engineers, setting service levels, managing escalations, and owning customer outcomes. Designs AI-assisted support workflows with appropriate permissions, evaluation, and human oversight. Builds knowledge systems, runbooks, diagnostic tools, and automation while partnering with Product and Engineering on incident response, reliability, and permanent fixes.

Build and operate backend platform services for query execution, journey orchestration, data transformation, and export delivery. Design APIs and integrations with cloud data warehouses, improve reliability and observability, support real-time capabilities, participate in on-call, resolve customer and production issues, and develop automation and shared components. Mentor engineers and help build AI-powered products.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.