Top Tech Jobs & Startup Jobs in Toronto

Leads marketing analytics strategy across North America by building data flows, ETL processes, reporting pipelines, dashboards, and standardized metrics. Evaluates campaigns through advanced analytics and A/B testing, translates business requirements into technical specifications, and delivers strategic insights to executive, marketing, engineering, and finance leaders. The role also manages analytics requests and drives operational efficiency through cross-functional collaboration.

Build and improve modern React-based web applications for restaurant customers. Develop data-rich guest relationship tools, collaborate with product, design, backend engineering, and delivery teams, and drive projects from technical planning through release. Apply testing, accessibility, scalability, observability, and AI-assisted development practices to deliver high-quality user experiences.

Leads analytics and revenue strategy for global restaurant sales, services, and marketing teams. Builds dashboards, financial models, forecasts, and reporting tools; ensures data quality and metric alignment; identifies trends and opportunities; presents insights to executives; and improves Salesforce, workflows, revenue operations, sales processes, and business performance.

Staff Machine Learning Engineer sets technical direction for production ML architecture, deployment, serving, monitoring, testing, CI/CD, observability, and incident response. The role builds high-throughput, low-latency ML services; leads MLOps practices; supports recommendations, ranking, multimodal systems, LLMs, and AI agents; and drives cross-team technical decisions and multi-quarter initiatives.

Leads budgeting, forecasting, long-term planning, and consolidated P&L oversight. Analyzes performance metrics, builds executive reports and dashboards, develops financial models for investments and growth initiatives, and partners with Marketing, Product, and Accounting. Drives cross-functional strategic workstreams and improves financial systems, reporting, and analysis through automation and scalable process enhancements.

Lead analytics and operations for Sales and Services: build dashboards, forecasts, and financial models; surface data-driven insights; manage requests and stakeholder relationships; improve SFDC data and processes; partner with BI and product teams to optimize reporting and operational efficiency.

Prototype, evaluate, and productionize machine learning systems for restaurant content understanding, retrieval, ranking, matching, and recommendations. Build scalable data and ML pipelines, design experiments and evaluation frameworks, apply LLMs and multimodal methods, and develop reusable tooling. The role requires collaboration with engineering, product, and content teams to translate business needs into reliable, scalable ML solutions.

Lead product design for OpenTable’s OTKit design system and Table Management System platform. Shape design-system strategy, governance, adoption, and documentation; translate complex operational workflows into localized web and native experiences; and integrate responsible AI into prototyping, design QA, accessibility, and component guidance. Partner with engineering, product, research, and data teams to ensure cohesive, accessible implementation across platforms while mentoring and enabling product teams.

Own the end-to-end booking funnel across web and mobile apps, from search and discovery through restaurant profiles and checkout. Set product strategy, roadmap, and conversion goals; analyze funnel performance; and deliver experiments that improve conversion and booking economics. Translate customer problems into technical requirements, partner with engineering, design, data science, and research, and lead global cross-functional teams across ranking, personalization, search, and checkout experiences.

Build and deploy production-ready AI applications, including LLM integrations, RAG pipelines, agentic workflows, and automated triggers. Partner with strategy, sales, and operations teams to identify business opportunities, integrate AI systems with Snowflake, APIs, and third-party tools, optimize manual processes, and implement evaluation and monitoring frameworks. Communicate technical solutions to non-technical stakeholders while owning projects from discovery through deployment.