Top Tech Jobs & Startup Jobs in Toronto

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 FP&A for OpEx, CapEx, and commissions: own budgeting, forecasting, ROI modeling, commission plan oversight, management reporting, and process automation while partnering with operational leaders.

Lead month‑end and quarter‑end consolidation and reporting across regions and currencies. Manage intercompany, equity, and treasury transactions; deliver fluctuation analysis and commentary; coordinate with Tax, GL, FP&A and Financial Operations; drive process improvements and leverage technologies to streamline reporting and meet tight deadlines.

Own technical accounting for partnership revenue, loyalty, leases, bad debt, prepaids, and accruals under US GAAP. Lead close activities, reconciliations, and cross-functional workstreams. Prepare technical memos, support auditors, coach teammates, and drive process improvements using system connectivity and AI-enabled workflows.

Supports revenue strategy through advanced analytics, financial modeling, forecasting, dashboards, reporting, and data-driven recommendations. Partners with sales, services, marketing, finance, product, Salesforce, and BI teams to optimize processes, systems, and performance. Manages ad hoc analysis requests, Salesforce data stewardship, KPI monitoring, and executive-level presentations while translating complex datasets into actionable business insights.