Top Tech Jobs & Startup Jobs in Toronto

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.

Manage corporate IT operations and the information security program across macOS, Google Workspace, SaaS platforms, and cloud services. Administer devices, accounts, access controls, monitoring, endpoint protection, and data security. Investigate suspicious activity, lead incident response, manage onboarding and offboarding, provide IT support, oversee assets and vendors, and maintain security policies, training, backups, and business continuity.

Own enterprise product strategy and execution across collaboration tools, admin controls, security, billing, and generative AI creative features. Partner with sales to translate enterprise needs into requirements, align product, engineering, design, and leadership around the roadmap, and coordinate across teams for a cohesive experience. Conduct direct customer discovery, manage ambiguity, and deliver complex multi-stakeholder products for advertisers, filmmakers, studios, and production companies.

Design end-to-end user experiences for AI image and video products, including user journeys, interaction flows, wireframes, prototypes, and polished UI. Partner with product, engineering, and research to translate user needs into requirements, prioritize impactful features, address edge cases, and shape product direction. The role requires strong product thinking, collaboration, communication, and comfort working in an ambiguous startup environment.

Supports the GTM Lead and founders across sales, growth, and content. Responsibilities include creating technical content for AI products, running growth experiments, supporting outbound initiatives, building the sales funnel, communicating with technical buyers, and collaborating with engineering in an early-stage environment.

Build and ship full-stack features for an AI agent platform, rapidly prototype and iterate with pilot customers, and work hands-on with LLMs, agents, voice AI, and modern AI coding tools. The role also expects product ownership, independent opinions, strong engineering fundamentals, comfort with ambiguity, and a demonstrated passion for building through projects, hackathons, or open source.

Build Lingopal’s go-to-market motion for its evolving AI agent platform. Develop positioning, target accounts, outbound strategy, sales processes, and pricing inputs. Own enterprise sales from prospecting through discovery, pilots, and closing across customer-support-heavy enterprises and scaling AI-agent companies. Engage senior buyers including Chief AI Officers, COOs, and CTOs, while feeding market insights back into product strategy.

Build and own marketing measurement, attribution, experimentation, and analytics for performance, influencer, and lifecycle marketing. Responsibilities include creating dashboards, debugging attribution across advertising platforms and CRM systems, designing incrementality and A/B tests, analyzing CAC, ROAS, payback, cohorts, LTV, and channel efficiency, developing attribution taxonomies and instrumentation, and translating findings into recommendations for marketing, product, finance, and executive stakeholders.

Build and maintain an agentic platform that transforms high-stakes medical and legal casework into structured context. Work across the full stack: agent architectures, eval frameworks, data ingestion/indexing, and user-facing tooling. Ship workflows, design reliability-focused evals and guardrails, iterate with user feedback, and set patterns for AI-native development in a healthcare context.