Top Tech Jobs & Startup Jobs in Toronto

Own the strategy and roadmap for Jane’s marketing website, including information architecture, navigation, page strategy, organic and answer-engine visibility, and conversion optimization. Use customer insights, analytics, experimentation, and A/B testing to improve performance. Partner with product marketing, brand, content, design, engineering, and web platform teams to turn strategic direction into a coherent, accessible, high-performing website.

Lead and coach a senior engineering team exploring AI-assisted development. Champion AI adoption across the engineering organization, partner with developers to identify real needs, measure productivity and quality, connect internal experimentation, and drive organizational change through clear communication and iterative execution.

Partners with Marketing, Product, and Design leaders and employees to support organizational growth, succession planning, org design, change management, career frameworks, employee development, culture, belonging, and complex people matters. Acts as a trusted coach and strategic advisor while contributing to broader People initiatives, including onboarding, performance, engagement, and AI-enabled process improvement.

Provide high-volume customer support for a complex SaaS practice-management platform through phone, chat, and video. Troubleshoot issues, guide clinics through onboarding, lead product demos, and tailor communication to different learners. The role combines support, sales, and onboarding while requiring adaptability, curiosity, strong communication, openness to feedback, and a commitment to improving the customer experience.

Build developer productivity tools and shared infrastructure that enable approximately 300 developers to ship faster. Responsibilities include developing agentic AI systems, plugins, skills, cloud execution environments, context management, measurement, and safety guardrails. The role also involves diagnosing development friction across teams, increasing agent-authored code adoption, supporting large codebases, and helping developers adopt new tools through documentation, teaching, and collaboration.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.

Leads and develops a software engineering team building clinic marketing websites, AI-powered website generation, and marketing analytics tools. Responsibilities include coaching developers, partnering with product and design, shaping zero-to-one products, guiding architecture, owning delivery, prioritizing work, and promoting responsible AI adoption.

Own GitHub administration and developer operations across multiple organizations, 900+ repositories, and 300+ developers. Establish security and operational baselines, automate configuration and compliance, manage integrations and access controls, and guide organization-wide adoption. Extend the model to Jira, Datadog, JFrog, and other SDLC tools while partnering with security and engineering teams. This remote-first role requires autonomy, consultative influence, change management, and responsible use of AI coding tools.

Build customer-facing payment features, including IC+ pricing, surcharging, and payment automation. Design and scale reliable payment systems using enterprise architecture patterns, collaborate with Product to deliver measurable outcomes, and communicate effectively within a distributed team. The role is backend-focused with opportunities to grow across the stack, apply AI tools throughout the software development lifecycle, and contribute to business-critical SaaS products.

Owns end-to-end data infrastructure, including secure data lakes, streaming applications, data warehouse systems, replication and change data capture pipelines. Responsibilities include architecture, deployment, maintenance, performance optimization, security controls, documentation, operational runbooks, and cross-functional partnership with analytics and product teams. The role requires strategic data infrastructure thinking and production experience in SaaS or data-heavy environments.