Top AI Jobs in Vancouver

Supports business operations for consulting, data products, analytics, and AI services serving commercial operations and aircraft maintenance. Responsibilities include developing business cases, managing projects, marketing analytics solutions to internal stakeholders, and supporting Data Science team operations and logistics. The internship is full-time, hybrid, and based in Richmond, British Columbia, for up to eight months.

Supports business operations for government-focused analytics, AI, and data product services. Responsibilities include developing business cases, managing projects, marketing analytics solutions to internal stakeholders, and supporting Data Science team operations and logistics. The internship is full-time, hybrid, based in Richmond, British Columbia, and lasts up to eight months.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Lead development of highly available, distributed payments platform services and global bill payment capabilities. Design scalable, secure, high-throughput backend systems, APIs, and database solutions while integrating multiple payment providers and risk controls. Contribute hands-on production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, productivity, and operating cadence. Partners with executive leadership across Sales, Marketing, Finance, Product, Customer Success, and Support to drive scalable growth, AI adoption, systems transformation, and revenue predictability. Builds and develops a high-performing global Revenue Operations organization.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Enterprise Architect responsible for designing scalable technical solutions and architectures for strategic accounts across network virtualization, hybrid cloud, Edge AI, and managed services. The role combines technical consulting, value-based solution selling, customer relationship development, proposal creation, demonstrations, account planning, pipeline development, and sales forecasting. The architect translates customer business needs into technical designs, supports complex sales opportunities, leverages partner ecosystems, and presents transformation strategies to executives and stakeholders.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Owns accounting and financial reporting for Canadian and U.S. operations across multiple entities, currencies, and business models. The role strengthens financial controls, supports month-end close, revenue, payables, and inventory processes, converts financial information into business insight, and advances AI, automation, and standardization. It also involves partnering with Finance, Sales, Operations, and Supply Chain teams while coaching junior colleagues and serving as a senior escalation point.

Build infrastructure and tooling for AI evaluation, including distributed execution, task-set validation, graders, human-review calibration, statistical reporting, online feedback loops, and offline-to-online analysis. Partner with product, engineering, data, and ML teams to create reliable evaluation workflows that support faster, statistically sound AI product decisions.

Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

The Data & Systems Analyst will improve data governance, quality, integrations, reporting, dashboards, and visualizations across school systems. Responsibilities include supporting Blackbaud, maintaining student and learning-management system connections, validating academic reporting data, documenting processes, improving workflows through automation, and exploring AI-enabled analysis. The role collaborates with academic, operational, and technology teams to strengthen privacy, security, system usability, and data-informed decision-making.

Conducts internal audits, advisory engagements, financial investigations, risk assessments, and internal control evaluations. Analyzes qualitative and quantitative data using analytics tools and emerging technologies to identify trends, anomalies, and risks. Prepares reports, dashboards, presentations, and documentation for senior stakeholders, monitors audit recommendations, supports investigations, and improves assurance methodologies and processes.

Conducts internal audits, advisory engagements, financial investigations, risk assessments, and data-driven assurance activities. Analyzes qualitative and quantitative information to identify risks, anomalies, and control weaknesses; prepares reports, dashboards, presentations, and documentation for senior stakeholders. Monitors audit recommendations, supports investigations, improves methodologies, and uses analytics and emerging technologies to inform decision-making. The role requires discretion, sound judgment, strong communication, and the ability to manage competing priorities.

Performs internal audits, advisory engagements, financial investigations, risk assessments, and data-driven analysis. Evaluates internal controls, identifies unusual activity and emerging risks, tests audit procedures, monitors corrective actions, and prepares reports, dashboards, presentations, and documentation for senior leaders. The role also supports audit methodology improvements and uses data analytics and emerging technologies to provide actionable insights.

Leads vision, strategy, and roadmap execution for Workday’s AI-powered Contract Intelligence and Analytics portfolio. Partners with engineering, data science, design, marketing, customers, and executives to develop generative and predictive AI products, define requirements, analyze markets, establish monetization strategies, and deliver enterprise SaaS solutions at scale.

The Creative Director will set AlgaeCal’s visual and brand standards, lead multidisciplinary creative teams, and oversee campaigns, launches, websites, advertisements, and brand assets. Responsibilities include developing creative strategy, improving workflows, using performance data to optimize advertising, hiring and developing talent, influencing senior stakeholders, and applying AI to creative processes while maintaining originality and quality.

Troubleshoot and resolve complex customer issues involving Arista hardware, software, hyperscaler networks, and AI infrastructure. Investigate network problems, perform root-cause analysis, collaborate with engineering, sales, and account teams, and document technical resolutions. The role supports installation, operation, and maintenance while requiring expertise in networking protocols, Linux, packet analysis, high-speed connectivity, and cloud or AI networking environments.

Create technical content, videos, demos, presentations, and product walkthroughs showcasing GitLab’s DevSecOps and AI agent capabilities. Engage developers, customers, sales teams, and online communities through webinars, events, forums, Discord, and social platforms. Answer technical questions, deliver analyst briefings, research the developer tools landscape, test new features, and provide product feedback. The role is remote, supports U.S. and Canadian time zones, and requires up to 20% travel.

Owns the end-to-end creation of performance-driven advertising across TikTok, Meta, YouTube, CTV, and emerging channels. Responsibilities include concepting, scripting, producing, editing, and iterating video ads; translating performance data into creative direction; monitoring platform and cultural trends; directing agencies and production partners; and using AI tools to accelerate creative workflows. The role combines strong visual taste, hands-on production skills, brand-building, and performance marketing instincts.

Privacy and Regulatory Counsel will advise a technology company on U.S. and international privacy, consumer protection, regulatory, AI, cybersecurity, and emerging technology matters. Responsibilities include developing compliance and governance programs, interpreting regulations, advising business and product teams, negotiating commercial agreements, supporting responsible AI policies, and monitoring legislative developments. The role requires collaboration with cross-functional stakeholders and provides broader corporate legal support.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.