Top Tech Jobs & Startup Jobs in Toronto

3 Days AgoSaved
Remote
Canada
Senior level
Senior level
HR Tech
Lead the vision, strategy, and execution of Oyster’s Employer of Record product across onboarding, payroll, benefits, compliance, and offboarding. Manage and develop a multi-layered product organization, prioritize complex initiatives, and partner with Engineering, Design, Legal, Finance, and Operations. Drive AI-powered automation, scalable workflows, measurable business outcomes, and product quality across a regulated global employment platform.
Top Skills: AIAutomationB2B Saas
Reposted 16 Days AgoSaved
In-Office or Remote
Canada
Junior
Junior
HR Tech
Manage customer relationships, ensure satisfaction, address inquiries, conduct product demos, and collaborate with internal teams to improve customer success.
Top Skills: AsanaNotionSlackZendesk
Reposted 26 Days AgoSaved
Remote
Canada
Senior level
Senior level
HR Tech
Own product vision, strategy, and execution for Hire & Onboard or Benefits. Lead discovery, prioritisation, and roadmaps; partner with Engineering and Design; coordinate cross-functional stakeholders (Legal, Compliance, Ops, GTM). Drive AI and automation use cases, embed regulatory/compliance requirements, use quantitative and qualitative data to measure impact, and improve product processes and outcomes.
Reposted 26 Days AgoSaved
Remote
Canada
Senior level
Senior level
HR Tech
Own product vision, strategy, and execution for Hire & Onboard or Benefits domain. Lead discovery, roadmap, and delivery with Engineering and Design; embed regulatory and compliance requirements; leverage AI/automation and data to improve outcomes; align cross-functional stakeholders and measure impact.
Top Skills: AIAutomationData Analytics
Reposted One Month AgoSaved
Remote
Canada
Senior level
Senior level
HR Tech
Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.
Top Skills: Data Pipeline Health MetricsData PlatformDistributed Data SystemsHigh-Volume Api IntegrationsKnowledge ManagementLlm OrchestrationMachine Learning Routing LayersMlopsModel Validation SystemsMulti-Tenant Customer Data StructuresRetrieval-Augmented Generation (Rag)Semantic Search
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