Top Tech Jobs & Startup Jobs in Toronto

Build AI-driven systems for blockchain security, including smart contract analysis, vulnerability discovery, exploit analysis, threat detection, and security investigations. Develop AI agents that reason over codebases, protocol interactions, transactions, and wallet activity. Collaborate with security researchers and infrastructure teams on monitoring and incident response while researching blockchain attack techniques, Web3 infrastructure, and AI security trends.

Lead the design and implementation of intuitive experiences for AI-generated world, simulation, and creative tools. Partner with researchers and engineers to translate complex AI capabilities into polished products, rapidly prototype concepts, own features end to end, establish the design language, and refine experiences through user feedback and experimentation. The role combines product intuition, visual design, interaction design, and frontend engineering.

Supports day-to-day people, recruiting, and administrative operations in an onsite startup environment. Responsibilities include interview scheduling, candidate coordination, onboarding, HR process support, calendar and meeting management, documentation, ATS data hygiene, workflow organization, and employee administrative support. The role partners with leadership to improve coordination, maintain operational systems, and ensure efficient hiring and internal processes.

Own the consumer AI product growth journey across acquisition, onboarding, activation, monetization, retention, and lifecycle engagement. Lead funnel optimization, experimentation, pricing and paywall improvements, growth instrumentation, and launch reporting. Partner with marketing, engineering, and lifecycle teams while using quantitative analysis, user insights, and AI tools to identify high-impact opportunities and improve conversion and retention.

Lead the company’s AI product strategy, roadmap, and team. Oversee AI/ML optimization, generative AI, multi-agent systems, forecasting, attribution, experimentation, model governance, and deployment. Partner with engineering, data science, platform, GTM, and customer success leaders to scale reliable, explainable AI products, align executives, improve advertiser adoption, and drive measurable business outcomes.

Own Xnurta’s growth funnel from signup through activation and expansion while leading product positioning, messaging, packaging, launches, and sales enablement. The role combines hands-on experimentation, funnel instrumentation, customer research, competitive analysis, and AI product marketing. Success requires shipping growth improvements, influencing roadmap decisions, and demonstrating measurable activation or expansion gains in a B2B SaaS environment.

Leads company-wide security architecture and roadmap, identifies systemic risks, and prioritizes remediation. Oversees security across wallet and key management, trading systems, identity and access, software development, and infrastructure. Builds risk assessment, threat detection, and incident response capabilities while advising the CTO on emerging threats, security priorities, and investments.

Own the architecture for version engineering, module governance, reproducible builds, dependency graphs, change impact analysis, selective testing, and GitOps deployments across 2,000+ microservices and regulated global sites. Define version sets, compatibility constraints, build provenance, module boundaries, API evolution practices, multi-site deployment strategies, and layered compliance testing. Lead modular architecture transformation while ensuring reproducibility, controlled blast radius, and financial-grade reliability.

Build and operate a developer platform for independently versioned modules across global compliance sites. Responsibilities include CI/CD and GitOps automation, reproducible builds, artifact provenance and signing, dependency graph and change-impact tooling, Kubernetes controllers, site provisioning, version management, security patch automation, and large-scale selective test orchestration.

Lead AI coding-tooling standards and developer experience, define Skill Marketplace conventions, and build production-quality internal AI application prototypes. Develop reference implementations for agent workflows, streaming UX, memory, multi-agent collaboration, and AI-native engineering processes. Provide architecture guidance, review code, publish technical content, deliver workshops, and collaborate asynchronously with APAC teams. The role requires strong full-stack engineering, product judgment, LLM application experience, and public technical influence.