Top Tech Jobs & Startup Jobs in Toronto

Own and improve operational metrics, dashboards, analytical datasets, data pipelines, and automated reporting for autonomous vehicle fleet operations. Analyze utilization, uptime, delays, downtime, readiness, mission performance, and commercial outcomes to identify root causes and improvement opportunities. Ensure data quality across systems, develop scalable workflows, and partner with Operations, Commercial, and Data Platform teams to deliver actionable insights and recommendations.

Manages day-to-day brand and digital marketing execution, including website publishing, paid advertising, social media, email campaigns, industry news, asset libraries, and performance reporting. Coordinates with marketing, communications, design, video, and vendor partners while supporting product marketing, events, facility branding, and executive social media. The role requires independent ownership, strong writing, and rapid execution during a six-month parental leave contract.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Lead product definition for Waabi’s autonomous vehicle hardware platform across trucks and robotaxis. Own requirements, acceptance criteria, verification plans, human-machine interfaces, cabin and external safety features, and physical touchpoints. Partner closely with hardware engineering, industrial design, OEMs, and suppliers from concept through production. Translate real-world scenarios into testable requirements while balancing feasibility, cost, safety, and user needs.

Owns technical integration between Waabi’s autonomous driving technology and an OEM partner from program setup through driverless operation. Responsibilities include integrated planning, cross-functional coordination across hardware, embedded, onboard, infrastructure, and autonomy teams, risk and dependency management, executive communication, partner alignment, and hands-on vehicle issue triage.

The Global Supply Manager develops and executes sourcing strategies for indirect categories including IT hardware, SaaS, professional services, operations, and facilities. Responsibilities include leading RFx processes, negotiating contracts, managing supplier relationships and performance, maintaining contract data, driving cost savings, optimizing procure-to-pay processes, forecasting budgets, and resolving supply chain issues. The role partners with Legal, Finance, and internal stakeholders and requires travel to Waabi locations up to 25% of the time.

Lead Waabi’s compensation strategy, including salary, equity, variable pay, annual compensation cycles, benchmarking, forecasting, pay equity, compliance, and executive communications. Partner with Finance, Recruiting, managers, executives, and the board to design scalable compensation programs across U.S. and Canadian locations. Educate employees and managers on total rewards while using analytics and AI tools to improve compensation workflows.

Leads Waabi’s commercial contracting function across hardware supply, OEM partnerships, software licensing, SaaS, services, and vendor agreements. Drafts and negotiates complex transactions, advises cross-functional teams on risk, manages contract compliance, and builds scalable templates, playbooks, and processes. Supports IP, open-source licensing, regulatory, export control, and data privacy matters related to commercial deals.

Supports FP&A by building budgets, forecasts, financial models, leadership and board reporting, KPI dashboards, and variance analyses. The role improves financial systems and reporting processes, evaluates investments, pricing, and cost-saving opportunities, and partners with leadership to strengthen financial planning and cash-flow management at a high-growth technology company.

Build and operate a reliable ML platform for large-scale distributed GPU training. Responsibilities include Kubernetes infrastructure, developer-facing CLIs and SDKs, AWS infrastructure, data and artifact management, experiment tracking, model registries, CI/CD, observability, documentation, security guardrails, and platform adoption. The role partners closely with researchers and engineers to improve training speed, reliability, usability, and cost efficiency for autonomous transportation systems.