Top Tech Jobs & Startup Jobs in Toronto

Own SaaS and professional services billing: translate contracts into accurate invoices, maintain billing models, support revenue recognition and reporting, manage collections and AR reconciliations, and drive ERP/billing system and process automation improvements while partnering cross-functionally.

Build, maintain, and optimize data pipelines and transformations on Snowflake and Azure. Develop DBT models, ingest diverse data sources, monitor pipelines, troubleshoot issues, collaborate on governance, and use GenAI-assisted tools to accelerate development and documentation.

The AR & Billings Specialist manages billing accuracy, revenue processes, and accounts receivable operations, ensuring compliance and supporting financial reporting.

Designs and maintains scalable test automation frameworks using Java, Python, and Playwright. Performs functional, API, integration, database, migration, performance, security, and accessibility testing. Validates Snowflake data, ETL processes, transactions, and business rules with complex SQL. Integrates tests into CI/CD pipelines and uses generative AI tools to improve testing productivity and coverage. Establishes AI testing governance, analyzes defects, mentors junior engineers, and drives quality engineering improvements.

Lead and develop a Customer Support team for PureFacts Compensation Applications, manage daily support operations and escalations, monitor SLAs and metrics, coordinate operational readiness and onboarding, drive process improvements, and partner with Product, Engineering, DevOps, and Customer Success to ensure timely, high-quality customer support.

Lead design, development, and deployment of ML/AI solutions across the PureFacts platform. Own ML product vision and MLOps for multiple client models, build scalable data pipelines and cloud-based deployments, embed AI-driven automation and LLM features, ensure governance and explainability, and mentor a team of ML engineers to deliver measurable business impact.

Build and integrate LLM-powered applications and agents (RAG, vector DBs, agent orchestration) into the PureFacts SaaS platform, design evaluation and safety frameworks, implement APIs and scalable services, and partner with product and engineering to deliver AI copilots and automation that improve revenue analytics and operational efficiency.