Top Tech Jobs & Startup Jobs in Toronto

Lead and manage the ML Dataset Platform team while defining its technical direction, roadmap, APIs, tooling, storage formats, versioning, lineage, and data-loading infrastructure. Build scalable systems for petabyte-scale multimodal datasets, optimize training data access across clouds, partner with ML platform and model teams, hire and mentor engineers, and drive platform adoption across the organization.

Lead safety and systems technical program execution for autonomous vehicle platforms. Coordinate safety assessments, system architectures, verification and validation, production readiness reviews, continuous software evaluation, executive reporting, issue tracking, and cross-functional engineering alignment. Consolidate plans and Jira data, use AI tools to reduce administrative overhead, ensure requirements have test coverage, and drive safety, security, and systems deliverables through deployment decisions.

Build and manage Waabi’s demand generation engine through lifecycle marketing, email nurture, paid digital campaigns, ABM, content, webinars, and outbound prospecting. Generate and qualify MQLs, track CAC and funnel performance, optimize campaigns, and contribute directly to sales pipeline. The role requires hands-on execution, strong analytical and writing skills, AI-enabled marketing workflows, and collaboration with brand, events, product marketing, and sales teams.

Define and elevate Waabi’s visual brand identity and translate its Physical AI narrative into compelling digital and physical experiences. Develop breakthrough creative concepts, produce video, design presentations and social content, oversee brand consistency, manage external agencies and production budgets, and partner with executive leadership. The role is hands-on initially and will eventually build and lead an in-house creative team.

Reviews annotated sensor and map data for quality, identifies recurring issues, and recommends solutions. The role prepares reports, maintains annotation policies, develops training documentation, performs data annotation, tests internal tools, reports bugs, and creates visual assets. It also collaborates with stakeholders, partners, annotators, project managers, and engineers while supporting on-road operations and evolving program priorities.

Leads Waabi’s earned media, executive communications, internal communications, thought leadership, and communications agency relationship. Develops accurate narratives across technology, logistics, transportation, and business media; supports executive visibility; maintains external messaging guardrails; and builds the foundation for a future communications team.

Supports strategic finance and corporate development through financial modeling, long-range planning, business case development, deal analysis, capital strategy, FP&A, investor relations, and market intelligence. The Associate will build financial frameworks, support strategic partnerships and due diligence, prepare executive and board materials, manage investor reporting, and translate autonomy-sector trends into actionable insights for leadership.

Designs and governs scenario and test sets for autonomous-vehicle behavior verification. Owns validity checks and release-pipeline approvals, translates behavior requirements into testable criteria, investigates behavior deficiencies and test escapes, distinguishes real failures from simulation artifacts, and coordinates verification cadence across planning, simulation, evaluation, safety, operations, and platform teams.

Owns cross-functional program execution for platform software across hardware, embedded systems, onboard software, physical infrastructure, and systems engineering. Builds integrated plans, dependency maps, roadmaps, risk registers, executive reporting, and scalable tracking processes. Coordinates platform bring-up, software releases, testing, and milestone readiness while surfacing blockers and driving resolution across teams with different development cadences.

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.