Top Tech Jobs & Startup Jobs in Toronto

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.

Leads operational strategy for emerging and non-programmatic advertising channels. Designs workflows with Inventory Development, builds AI-powered automation, defines KPIs, measures efficiency gains, and maintains inventory guides, sales collateral, support documentation, and knowledge repositories. Partners cross-functionally, communicates with executive audiences, mentors team members, and drives scalable process improvements across StackAdapt’s inventory organization.

Lead the creative quality and direction of AI-powered advertising. Develop concepts, prototypes, workflows, standards, and evaluation methods using generative image and video technologies. Experiment with prompting, models, references, and node-based systems while applying expertise in visual storytelling, filmmaking, composition, lighting, editing, pacing, and sound. Collaborate with creative and technical teams, evaluate emerging tools, document best practices, and coach Creative Studio members.

Executes AI-focused initiatives by improving workflows with custom tools, agents, skills, and prompt libraries. Builds reusable AI solutions, coordinates technical projects across engineering, product, and automation teams, performs SQL-based analysis, and measures operational impact. The role requires translating complex AI concepts into actionable programs, enabling adoption across teams, and collaborating with technical and non-technical stakeholders.

Leads AI-focused technical programs from scoping through deployment and handoff. Partners with Engineering, Product, AI Automation, and business stakeholders to build reusable AI solutions, MCPs, dashboards, data-access tooling, and self-service workflows. Uses SQL and analytics to define impactful metrics, reduce ad hoc data requests, improve operational efficiency, and drive AI adoption across teams.

Owns the roadmap for measurement products, develops new attribution solutions, and guides features from concept through launch. The role requires defining product specifications, identifying market trends, collaborating with engineering, design, QA, data science, and revenue teams, and delivering products that improve customer engagement and demonstrate advertising value.

Partner with Account Executives and cross-functional teams to sell StackAdapt's marketing technology portfolio to enterprise marketers. Own pipeline, source and close opportunities, lead executive discovery and demos, develop account strategies, and act as a subject matter expert on customer data, AI-powered marketing, journey orchestration, and measurement.

Leads and scales StackAdapt’s eCommerce new-business sales organization across North America. Responsibilities include developing outbound sales processes and playbooks, managing pipeline and forecasting, coaching Sales Directors and Account Executives, partnering with Marketing and Revenue Operations, improving lead quality, adopting AI-enabled sales technologies, and representing the company at industry events. The role builds a predictable revenue engine through disciplined execution, account-based selling, and cross-functional go-to-market leadership.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.

Develop and maintain automated and functional tests covering API, UI, integration, system, and regression scenarios. Integrate scalable test automation into CI/CD pipelines, collaborate with engineering and product teams, provide test feedback, and contribute to technical planning and code reviews. The role also involves testing edge cases, compatibility, concurrency, backend systems, and large relational datasets using SQL.