Top Tech Jobs & Startup Jobs in Toronto

Solve unprecedented, high‑ambiguity problems end‑to‑end: create solutions, then build repeatable systems to run them without you. Own outcomes, act autonomously, generate options relentlessly, operate under scarce resources and tight deadlines, and continuously scale impact across the company.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

Own and monetize partnership-driven revenue by sourcing strategic partners, structuring revenue-share deals, enabling joint go-to-market initiatives, maintaining partner pipeline, negotiating frameworks, and tracking partner-attributed revenue to drive ARR and lower CAC.

Lead design and execution of Rwazi's ecosystem strategy, building network architecture that connects contributors, mappers, clients, and partners. Strengthen multi-stakeholder relationships, create product feedback loops, protect trust capital, and support strategic expansion to increase cohesion, loyalty, and long-term defensibility.

Build and maintain experimental decision-system prototypes, evaluation tooling, simulation environments, and research infrastructure to enable rapid iteration and validation of research concepts in real-world constraints.

Own decision quality by evaluating AI-generated decisions, identifying reasoning failures, designing feedback and training loops, defining decision-quality metrics, and collaborating with Product, R&D, and Engineering to improve robustness, explainability, and drift detection.

Execute end-to-end recruiting: source and build pipelines, conduct structured screens, coordinate interviews, maintain pipeline metrics and candidate experience, and improve hiring velocity while preserving hiring standards.

Sell enterprise AI-powered decision intelligence subscriptions across the U.S., owning new revenue and expansion. Manage full-cycle land-and-expand sales, forecast accurately, navigate complex buying committees, close multi-year contracts, and engage executive buyers to drive ARR, win rates, and market penetration.

Lead sourcing and testing new revenue channels by opening early-stage conversations, validating monetization hypotheses, and identifying scalable growth paths. Focus on exploratory AI product monetization and non-core revenue experiments to diversify and accelerate revenue streams.

Apply formal decision theory and structured reasoning to enterprise problems: design decision frameworks, model uncertainty and tradeoffs, test decision architectures, run experiments, and translate research into system-ready primitives collaborating with engineering and product teams.