Top Tech Jobs & Startup Jobs in Toronto

The Prompt Engineer will test AI-generated outputs related to medical data, provide feedback for improvements, ensure quality, and create SOPs for testing processes.

The Senior Manager of Revenue Operations will manage the GTM tech stack, build reporting and analytics infrastructure, ensure data quality, oversee revenue planning, and lead a high-performing RevOps team.

Lead a small front-end engineering team to design and implement React-based features for an AI-driven document claims platform. Architect reusable components, run UX/UI experiments to improve AI productivity, collaborate across teams, and deliver customer-centric front-end solutions focused on usability and performance.

Lead the design and implementation of a scalable AI insights engine, build robust Python APIs (Django, FastAPI), develop ML/AI-adjacent systems (RAG, workflows, evals), ensure platform reliability and scalability, and manage a small engineering team while working directly with customers to close capability gaps.

Lead scaling and innovation of ML systems: design and implement models for medical/insurance documents, scale inference and training pipelines, build robust Python APIs, ensure reliability and model lifecycle management, collaborate across teams, and develop evaluation with human-in-the-loop processes.

As an Enterprise Account Executive, you will manage the full sales cycle, engage with national carriers, and close significant deals while maintaining a healthy pipeline. Responsibilities include conducting calls, managing relationships, and collaborating with various teams.

Evaluate and test AI-generated medical claims outputs, provide feedback to engineering, write and maintain SOPs, ensure clinical accuracy and compliance, analyze model performance, document results, and drive iterative improvements.