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Top Tech Jobs & Startup Jobs in Toronto
Software
Lead end-to-end product design for web and mobile SaaS fintech experiences. Define UX strategy, collaborate with Product, Engineering, and Data, champion customer-centric solutions, drive high-impact projects, mentor designers, and deliver scalable, regulated-domain designs informed by LLM tools.
Top Skills:
ClaudeCodexFigjamFigmaFigma Make
Software
Own and improve RevTech operational processes: user lifecycle management, tool support and triage, minor Salesforce and GTM tooling changes, AI-enabled automation, platform audits, data loads, and documentation. Act as first-line support, investigate intake requests, assist larger rollouts, and drive process improvements to scale revenue operations.
Top Skills:
Ai ToolsChilipiperData Loading ToolsHubspotJIRAMulesoftRevenue.IoSalesforceTextexpander
Software
As a Senior Software Engineer, you'll collaborate with teams to build solutions, mentor junior members, ensure code quality, and drive best practices in a supportive environment.
Top Skills:
Ai ToolsJavaScriptReactReact NativeRuby On RailsTypescript
Software
Senior individual-contributor analytics role partnering with Sales and Partnerships to drive acquisition decisions. Lead funnel and channel analyses, experimentation, forecasting, impact evaluation, KPI governance, and scalable analytics. Translate ambiguous business questions into actionable recommendations, mentor analysts, build dashboards and decision tools, and collaborate with BI, Data Science, and cross-functional stakeholders to improve acquisition quality and efficiency.
Top Skills:
DbtPythonSalesforceSnowflakeSQLTableau
Software
The Intermediate Software Engineer will collaborate with a Scrum team to develop features, write scalable code, participate in code reviews, and utilize AI tools while focusing on customer needs.
Top Skills:
Ai ToolsDatadogGraphQLReactReact NativeRuby On RailsTypescript
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Software
Build and own production AI systems as the founding technical engineer within Jobber’s Office of the CEO. Architect systems end to end, including LLMs, retrieval, agents, integrations, permissions, security, reliability, and quality. Embed with teams to deliver AI into real workflows, evaluate build-versus-buy decisions, run rapid proofs of concept, and establish trustworthy AI standards. The role requires executive communication, pragmatic technology choices, and Staff-plus experience delivering systems used daily at scale.
Top Skills:
Ai AgentsArtificial IntelligenceData InfrastructureIntegrationsLarge Language ModelsRetrieval Systems
Software
Build and own production AI systems as Jobber’s founding AI engineer. The role covers end-to-end architecture, retrieval quality, permissions, security, reliability, LLMs, agents, integrations, and workflow deployment. You will partner with teams and executives, evaluate build-versus-buy options, run rapid proofs of concept, establish technical standards, and deliver trustworthy AI systems used across the company.
Top Skills:
AIAi AgentsData InfrastructureLlmsProduction Ai SystemsRetrieval Systems
Software
Lead zero-to-one discovery, validation, launch, and scaling of Jobber’s new fintech products, including insurance, financing, card, banking, and spend-management offerings. Evaluate build-buy-partner strategies, manage embedded finance and banking-as-a-service partnerships, define MVPs and roadmaps, and make evidence-based investment decisions. Collaborate with Design, Engineering, Data, Risk, Compliance, Legal, Finance, and go-to-market teams while shaping product strategy and standards across the fintech organization.
Top Skills:
Banking-As-A-ServiceBusiness BankingCard IssuingEmbedded FinanceInsuranceJobber PaymentsLending
Software
The Director of Software Engineering role focuses on enhancing Jobber's AI capabilities, overseeing the integration of intelligent workflows across products to support small business operations more effectively.
Top Skills:
AIAutomationLlmObservabilityOrchestrationProduct ManagementSoftware EngineeringTool UseWorkflow Execution
Software
Lead the design and delivery of an end-to-end AI system layer across the product: agentic workflows, orchestration, evaluation, guardrails, observability, and developer platform. Build and grow a multi-team org, partner with Product and Design, define how AI decisions flow across cross-product context, and ensure reliable, measurable, and safe autonomous behaviors that proactively help small-business users.
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