Top AI Jobs in Vancouver

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.

Lead the architecture and development of secure, scalable payment platform services, including payment orchestration, fraud and risk capabilities, multi-provider integrations, bill payments, and high-throughput systems. The role involves hands-on production coding, technical leadership, mentoring, cross-functional collaboration, and advancing AI-enabled engineering workflows.

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.

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.

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.

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 analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads Square’s US Business Development Representative organization through managers and frontline teams. Owns pipeline generation strategy, operating cadence, performance management, forecasting, capacity planning, outbound execution, and sales technology improvements. Coaches managers, develops BDR talent, hires and retains staff, and partners with Sales, Marketing, Revenue Operations, Enablement, Analytics, and Strategy to improve funnel conversion and revenue contribution. Uses data, automation, AI, and prospecting tools to improve productivity and scale successful programs.

Own IT internal audit projects and portions of the SOX program, including ITGC and ITAC testing, risk assessment, controls evaluation, remediation, and audit reporting. Partner with audit, finance, engineering, process owners, external auditors, and co-sourcing partners. Help establish an AI audit methodology and implement AI-enabled audit efficiencies while maintaining quality, independence, and reliability.

Leads data engineering for AI and machine learning fraud-detection products. Responsibilities include integrating disparate data sources, building scalable and automated pipelines, supporting modeling workflows, deploying production artifacts, creating documented data products, improving reusable processes, collaborating cross-functionally, leading projects, and mentoring junior engineers. Required technologies include Python, PySpark, Airflow, Hadoop, SQL, Databricks, Linux/Bash, CI/CD, and JIRA.

Design, develop, and support scalable, secure software systems for Mastercard’s sanctions-screening platform. Lead technical design, coding, testing, deployment, production support, troubleshooting, and code reviews. Mentor engineers and collaborate with product, compliance, security, and operations teams. Apply AI-assisted development, agentic workflows, and intelligent automation to improve engineering productivity, reliability, and operational efficiency while maintaining strong governance, security, transparency, and human oversight.

Own regional Sales Operations infrastructure for NAMER, including territory and quota planning, account segmentation, forecasting governance, pipeline inspection, CRM hygiene, executive reporting, and operational cadence. Partner with Sales, Finance, Compensation, Systems, Analytics, and Enablement to improve coverage, forecast accuracy, workflow automation, and sales execution. Support organization design, onboarding, incentive programs, and channel deal registration while applying AI-enabled tools and sound business judgment.

Build and operate internal AI platforms, tooling, and skills marketplaces used by engineering teams. Develop agent guidance, monitoring, runbooks, and rollback practices; collaborate with AWS, Microsoft, and GitHub on emerging technologies; and influence technical direction across Xero’s engineering organization.

Own the growth strategy and product experience for Jobber Teammate, an AI teammate for home service businesses. Lead discovery, onboarding, activation, first value, habit formation, advocacy, acquisition, customer conversion, metrics, and monetization. Build AI onboarding experiences, understand customer behavior, drive mainstream adoption, and collaborate with Growth, Product Marketing, and Marketing. The role requires shipping AI products, managing non-deterministic experiences, and expanding adoption from early users to existing customer bases.

Drive adoption of SOCi’s AI-powered agentic workforce across B2B SaaS customer accounts. Lead discovery sessions, workshops, webinars, and value reviews; translate AI capabilities into measurable business outcomes; help customers operationalize AI agents; identify and remove adoption barriers; and collaborate with Customer Success, Product, Sales, and Delivery teams on feedback, enablement, positioning, and repeatable adoption playbooks.

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.

Identify, build, and scale AI and automation solutions that improve workflows across Expedia Cruises and the broader travel business. The role analyzes legacy systems and manual processes, develops LLM- and agent-based solutions, manages pilots through rollout, tracks business impact, coordinates with business and technology teams, and drives adoption through training, coaching, and change management.

Leads AEQ’s technology and AI strategy, consulting practice development, client relationships, sales pursuits, solution architecture, and delivery quality. Advises senior clients, shapes proposals and delivery plans, guides AI initiatives from experimentation to production, develops technical leaders, strengthens engineering practices, and builds commercially viable technology services across financial services, healthcare, government, and other sectors.

Leads multiple concurrent cloud innovation projects involving AI, generative AI, and AWS from scoping through delivery and closure. Manages scope, schedules, resources, risks, quality, testing, stakeholder relationships, and multidisciplinary technical teams. Coordinates developers, architects, consultants, students, sponsors, and university partners while ensuring architecture, security, compliance, documentation, demonstrations, and handoff requirements are met. Supervises and mentors project staff, improves project management practices, and contributes to CIC strategic and operational planning.

Leads operations and service delivery for a university-wide AI research incubation lab. Manages faculty proposal intake, evaluation, resourcing, compliance, ethics, information security, stakeholder engagement, project monitoring, impact reporting, communications, partnerships, and workforce recruitment planning. Advises faculty teams, coordinates cross-functional projects, conducts needs assessments, supports strategic alignment, and ensures research initiatives progress from inquiry through outcomes while meeting institutional standards.

Leads technology architecture strategy for the Group Benefits business segment, including architecture vision, roadmaps, governance, standards, modernization, cloud adoption, platform engineering, resilience, and cost optimization. Advises executives, drives enterprise-scale transformation, reviews architectural designs, and aligns technology investments with business outcomes. Manages and mentors solution, business, data, and platform architects while fostering architecture best practices and engineering excellence across the organization.

Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.

Build infrastructure and tooling for AI evaluations, including distributed scoring engines, task-set validation, grader systems, human-review calibration, statistical leaderboards, online feedback capture, and offline-to-online evaluation loops. Partner with product, engineering, data, and ML teams to deliver reliable, observable evaluation workflows that support faster and more trustworthy AI product development.

Owns enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and measurable value. Translates customer workflows into product requirements, deployment roadmaps, and technical solutions while partnering with engineering, sales, finance, legal, security, and customer success. Evaluates AI-specific considerations, business cases, risks, and product opportunities, then converts recurring customer needs into scalable capabilities and operating playbooks.

Leads Arc'teryx's global Consumer Insights function, defining its strategic vision, operating model, analytics capabilities, and multi-year roadmap. Advises executive leadership by translating complex consumer and business data into actionable narratives that guide brand strategy, innovation, growth, and customer connection. Builds a high-performing global team, oversees segmentation and data integration, advances AI-driven analytics, and develops enterprise frameworks, partnerships, and measurement tools.