Top Tech Jobs & Startup Jobs in Toronto

Leads the engineering organization by hiring, coaching, and managing engineers; setting technical direction; improving delivery practices; and ensuring reliable software releases. Oversees customer applications, internal tools, data, payments, and IT systems. Designs AI-driven workflows to reduce manual effort, makes architecture decisions, contributes code when needed, and collaborates with product partners. The role also leads engineering, QA, and design staff in a hybrid Toronto environment.

Develop geometry and CAD software that matches and validates 3D models against 2D drawings. Contribute to geometry libraries and design tools, extend a toolpath computation engine, investigate geometric algorithms, and eventually own a core software subsystem from design through maintenance. The role applies mathematical and low-level software expertise to physical manufacturing and requires solving loosely defined computational problems.

Build and maintain full-stack web applications, develop internal production tools, gather feedback from shop-floor users, and iterate on solutions. The role requires ownership of platform uptime, including responding to outages and restoring service. Engineers will work closely with machinists and mechanical engineers in an on-site manufacturing environment to identify operational problems and deliver practical software improvements.

Advise legal-sector decision-makers on adopting an AI-powered product through consultative meetings, tailored demonstrations, pilot design, outcome measurement, and rollout support. Partner with sales, product, marketing, and customer success teams to communicate customer insights, shape product strategy, develop messaging, and support go-to-market efforts. The role requires legal expertise, familiarity with Toronto law firms, strong communication skills, and frequent client engagement in the Toronto area.

Embed with portfolio companies to identify high-impact workflows, build and deploy agentic software integrations, prompts, evaluations, and user interfaces, then tune systems in production. Serve as the technical partner to business leaders, manage end-to-end outcomes, and codify successful patterns into reusable playbooks. The role requires full-stack development, production LLM experience, strong stakeholder communication, startup experience, and frequent travel to portfolio companies.

Convert inbound leads into signed legal client engagements while meeting personal revenue targets. Advise prospective clients, manage and forecast the sales pipeline, create sales and onboarding materials, mentor junior lawyers, and collaborate with product and engineering teams to automate intake and follow-up. The role requires daily use of generative AI tools and consultative sales skills.

Advise prospective clients, assess their legal circumstances, explain options, and guide them from initial consultation through signed retainer. Own client relationships, meet revenue targets, use AI tools to manage research and follow-up, test internal tools, report issues to engineering, and create playbooks and training materials.

Build and deploy AI-driven software for operating businesses, including integrations, prompts, evaluation tools, and user interfaces. Own delivery from workflow discovery through launch, tuning, and handoff. Partner directly with business leaders, manage expectations, develop reusable deployment playbooks, and serve as a trusted technical contact. The role requires full-stack engineering, production LLM or agent experience, customer-facing collaboration, strong communication, and frequent travel to client sites.

Lead product and engineering for a client-facing software platform. Own technical direction, architecture, product roadmap, user experience, and AI-driven workflow development. Build a scalable platform, prioritize stakeholder requests, hire and develop cross-functional technology talent, and remain hands-on with coding. The role requires hybrid work in Toronto three days per week and offers leadership responsibility across multiple business functions.

Own and expand the partnerships function, growing partnership revenue, developing platform integrations and professional services channels, and building a high-performing partnerships team. The role manages partner relationships, defines product requirements with engineering and executives, drives adoption of embedded partner offerings, evaluates commercial economics, and recruits team members. This is a hybrid position based in Toronto.