Top Tech Jobs & Startup Jobs in Vancouver

YesterdaySaved
In-Office
Vancouver, BC, CAN
Mid level
Mid level
Professional Services
Own product lifecycles from discovery through launch and iteration. Coordinate agile ceremonies, prioritize backlogs, translate customer insights into requirements, collaborate with engineering, design, customer success, and go-to-market teams, track product KPIs, and apply AI tools to accelerate research and validation. The role requires technical fluency, clear communication, customer focus, and cross-functional execution in a fast-growing B2B SaaS startup.
Top Skills: AgileAIErp IntegrationsSaaS
YesterdaySaved
Hybrid
Vancouver, BC, CAN
Mid level
Mid level
Professional Services
Build and ship LLM-powered product features for procurement, inventory, invoicing, and supplier workflows. Responsibilities include developing RAG and agentic systems, embedding pipelines, vector search, production APIs, model evaluations, monitoring, guardrails, and AI infrastructure. The role partners with Product, Data Engineering, Customer Success, and customers to deliver reliable AI capabilities using real-world business data.
Top Skills: AnthropicAWSCi/CdDatabricksDbtEmbeddingsLlm ApisModel Context Protocol (Mcp)ObservabilityOcrOpenaiOpensearchPgvectorPineconePrompt EngineeringPythonRetrieval-Augmented Generation (Rag)SnowflakeSQLVector Databases
15 Days AgoSaved
Hybrid
Vancouver, BC, CAN
Senior level
Senior level
Professional Services
The Senior Product Marketing Manager will build distributor-focused product marketing and go-to-market programs from the ground up. Responsibilities include customer discovery, ideal customer and buyer definition, positioning, pricing and packaging, beta launches, sales enablement, competitive research, customer pilots, case studies, and industry partnerships. The role works cross-functionally with Product, Engineering, Sales, Supplier Success, and distributor customers, with at least 25% travel to branches, trade shows, and internal events.
Top Skills: B2B SaasE-Commerce PlatformsErp Systems
21 Days AgoSaved
In-Office
Vancouver, BC, CAN
Junior
Junior
Professional Services
Configure and maintain enterprise customer integrations, troubleshoot integration issues, update code, conduct peer reviews, and document new and existing integrations. The role also involves resolving customer tickets, collaborating across functions, and contributing to platform development at a cloud-based procurement software startup.
Top Skills: DockerGitPythonSQL
One Month AgoSaved
Hybrid
Vancouver, BC, CAN
Senior level
Senior level
Professional Services
Lead an agile software engineering pod while contributing hands-on across a Python/Django backend, Angular or React frontend, and PostgreSQL databases. Responsibilities include sprint leadership, code reviews, mentoring, architecture oversight, database optimization, product collaboration, and maintaining ERP integration pipelines using APIs, webhooks, and OCR. The role requires strong technical leadership, product judgment, and experience delivering secure, scalable B2B SaaS software.
Top Skills: Ai-Assisted Coding ToolsAngularCloud InfrastructureDjangoDockerErp IntegrationsOcrPostgresPythonReactRest ApisTerraformVueWebhooks
One Month AgoSaved
Hybrid
Vancouver, BC, CAN
Senior level
Senior level
Professional Services
Build and maintain end-to-end SaaS features across Python/Django backends, Angular frontends, and relational databases. Diagnose bugs, race conditions, performance issues, and production incidents; create APIs, webhooks, email parsers, and OCR pipelines; conduct code reviews; document architecture; and collaborate directly with customers. The role also involves automated testing, integrations, containerization, cloud infrastructure, and AI-assisted development.
Top Skills: AngularChatgptCursorDjangoDockerGithub CopilotGraphQLMySQLOcrPostgresPythonReactRest ApisSQLTerraformVue
One Month AgoSaved
Hybrid
Vancouver, BC, CAN
Mid level
Mid level
Professional Services
Build and maintain Remarcable’s data lakehouse, analytics layers, dashboards, business metrics, experiments, and customer reporting. Analyze product and operational data, identify trends and opportunities, and develop practical machine learning and heuristic models for recommendations, forecasting, and smart search. Partner with Data Engineering and stakeholders to create AI/ML infrastructure, training datasets, feature engineering workflows, and model evaluations using AWS services.
Top Skills: Amazon AthenaAmazon BedrockAmazon RedshiftAmazon SagemakerAws GlueAws S3DbtLookerNumpyPandasPower BIPythonQuicksightSQLTableau
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