Top AI Jobs in Vancouver

Lead Block’s global tax planning and controversy agenda, including international and U.S. tax strategy, transfer pricing, M&A taxation, legal-entity structuring, tax audits, examinations, disputes, and transaction negotiations. Advise senior leadership on tax implications, partner with Legal, Treasury, Corporate Development, and finance teams, monitor legislative developments, and ensure tax positions are reflected in reporting and compliance. Build high-performing teams and represent Block before domestic and foreign tax authorities.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Build and manage a global Afterpay and Cash App sales enablement and training strategy across North America, the UK, and APAC. Own the internal content platform, facilitate training, communicate product and business updates, collaborate with revenue and GTM leaders, and use AI to scale learning programs. Measure program impact on sales performance while adapting enablement initiatives to regional needs.

Lead the design, delivery, and operation of agentic AI workflows and applications from discovery through production. Partner with business teams to automate complex workflows, integrate AI with enterprise platforms, and establish reusable patterns, guardrails, evaluation frameworks, and monitoring. Collaborate with product owners and subject-matter experts, translate business needs into technical solutions, and coach teams to improve AI fluency and adoption.

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage and outcome metrics, identify automation opportunities through customer conversations, and document effective prompts and development patterns.

Build and deploy complete applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, instrument solutions, evaluate AI-generated output for security, privacy, reliability, and quality, and iterate based on usage and outcome metrics. Participate in customer conversations to identify automation opportunities and document effective prompts and development patterns.

Supports the inside sales team through investment fund comparisons, pricing and performance research, competitive analysis, territory planning, Salesforce activities, and sales-process support. Conducts business-process reviews, identifies improvement opportunities using AI, develops proposals and reports, presents findings to senior management, and assists with projects and marketing campaigns. This full-time hybrid internship runs from January through April 2027 in Vancouver.

Designs clinical and research studies, sampling plans, validation datasets, statistical analysis plans, and normative models. Performs sample size and power analyses, subgroup and lesion-level model evaluations, correlation and agreement analyses, and dataset governance. Ensures statistical work is reproducible, traceable, and suitable for regulatory scrutiny, including potential FDA submissions. Collaborates on AI model validation and clinical alignment in a hybrid Vancouver-based contractor role.

Drives new business revenue for the SMB segment by converting inbound restaurant-operator interest into customers. Responsibilities include conducting consultative product demos, managing sales pipelines, meeting MRR and ARR targets, using CRM, sales engagement, and AI tools, and providing product and sales-playbook feedback. The role requires strong discovery, customer communication, sales discipline, coaching receptiveness, and teamwork in a high-volume SaaS sales environment.

Design and implement AI systems for a AAA sports game using Unreal Engine 5 and C++. Build team-based decision-making, play selection, formations, tactics, positional awareness, and realistic player behavior. Optimize performance in multithreaded environments, collaborate with designers and animators, write tested code, conduct reviews, and mentor engineers.

Leads the engineering strategy and execution for platform-wide artificial intelligence initiatives. Builds and manages high-performing teams of AI/ML engineers and applied scientists, guides architecture and technical roadmaps, and delivers scalable distributed AI products, agentic systems, and LLM-based experiences. Partners with Product, Design, Data Science, and senior engineering leadership to align priorities, develop talent, improve quality, and drive major product launches and organizational growth.

Lead complex AI and software programs across engineering, product, support, and operations. Translate strategy into executable features, coordinate releases, manage risks and dependencies, drive readiness, engage customers, and resolve cross-functional trade-offs. Support adoption of an AI-agentic operating model, improve agile delivery practices, maintain governance, and communicate status to technical, business, and customer stakeholders.

The Research Manager leads day-to-day research operations across multiple AI, psychiatry, and supportive cancer-care studies. Responsibilities include designing and implementing studies, preparing manuscripts and grants, managing ethics and data governance, overseeing recruitment, supervising research staff and trainees, managing project plans and collaborators, coordinating patient-partner engagement, and leading knowledge translation. The role requires independent judgment under the Principal Investigator’s general direction.

Leads global contingent workforce operations, SAP Fieldglass administration, platform optimization, workflow automation, AI-enabled improvements, governance, SOX controls, reporting, and operational readiness. Partners with Engineering, Procurement, Finance, Legal, Internal Audit, regional program managers, and MSP partners to deliver scalable, compliant workforce processes and technology implementations.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

As Principal Product Manager, you'll define product strategy for GitLab's AI models, focusing on custom and self-hosted AI capabilities, collaborating with engineering, and ensuring alignment with company strategy.

Leads data operations, analytics, merchant and regulatory reporting teams. Owns semantic-layer metric definitions, data governance, BI adoption, reporting accuracy, OKR instrumentation, and data automation. Partners with engineering, data science, product, actuaries, and executives to translate business needs into trusted data solutions. Builds team capability, improves data literacy, and drives cross-functional accountability across technical and business teams.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Lead the long-term software vision, strategy, and roadmap across machine vision, imaging, AI, machine learning, workflow automation, and 3D products. Influence product managers and align software priorities with hardware, customer, and business objectives. Develop licensing and recurring-revenue strategies, engage customers and partners, evaluate build-or-buy opportunities, and track adoption, revenue, profitability, and satisfaction while ensuring cybersecurity, privacy, and compliance alignment.

Lead complex, cross-functional transformation initiatives from design through implementation and measurement. Partner with senior leaders to modernize systems and processes, integrate acquisitions, and apply AI to customer support, success, and sales. Responsibilities include defining roadmaps, governance, resources, financial models, business cases, success metrics, and change-management plans; coordinating internal stakeholders and vendors; managing risks; and reporting recommendations and progress to executive leadership.

Leads partner marketing strategy for Dropbox’s AI and ISV ecosystem, developing joint go-to-market strategies, positioning, integrated campaigns, launches, evergreen co-marketing, and performance optimization. Manages and coaches a partner marketing team while personally executing high-priority initiatives. Partners cross-functionally with Business Development, Product, Sales, Marketing, and Communications to drive adoption, awareness, pipeline, and revenue. Builds scalable operating mechanisms and AI-enabled marketing workflows with strong human oversight.

Develop, deploy, and improve internal AI tools and agents across business functions. Integrate AI with enterprise systems, implement security and responsible-use guardrails, evaluate emerging technologies, monitor performance and costs, and support scalable adoption. Identify AI opportunities, document solutions, train users, and collaborate with IT, cybersecurity, finance, and business stakeholders to ensure secure, practical, cost-effective implementations.

Establishes and operates an ongoing AI optimization framework for strategic customer engagements. The role improves workflows, adoption, prompts, enablement materials, and agent performance using Copilot, usage data, and behavioral signals. Responsibilities include detecting agent drift, prioritizing high-ROI investments, facilitating kaizen improvement cycles, embedding standard work and ownership, and transferring the capability to customer teams. The position also leads multidisciplinary teams and manages multiple projects or portfolios.

Lead multiple enterprise IT projects involving AI, Microsoft 365, cloud services, messaging modernization, and infrastructure. Responsibilities include planning, scheduling, budgeting, resource and vendor management, risk mitigation, requirements gathering, stakeholder coordination, executive reporting, solution delivery, UAT support, governance, change management, and continuous improvement. The role requires alignment with enterprise architecture, policies, standards, and business objectives.

Owns portfolio growth and pipeline generation for complex, multi-region digital sales opportunities in Healthcare and Life Sciences. Leads qualification, proposals, negotiations, and deal closure while collaborating with internal teams, external partners, and product innovation groups. Builds relationships with business and C-suite stakeholders, diagnoses complex business problems, maintains Salesforce data and forecasts, and provides customer-driven product feedback.