Top AI Jobs in Vancouver

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.

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.

Drive upselling and cross-selling to existing customers through prospecting, needs discovery, product demonstrations, business-case development, negotiation, forecasting, and deal closure. Manage qualified opportunities using Salesforce, monitor funnel metrics, and collaborate with Support, Account Management, SDRs/BDRs, Customer Success, and Sales Engineering teams to deliver tailored SaaS solutions.

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.

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.

Own the strategy, roadmap, development, and execution of Agentic Insights and other data products. Identify proprietary signals across company datasets and transform them into scalable, partner-facing AI-powered insights. Collaborate with engineering, design, operations, and partners; prioritize the backlog; analyze user feedback and product metrics; and deliver products that improve partner decision-making and business outcomes.

Leads Airbnb’s global AirCover quality program for insurance and property-damage claims. Responsibilities include developing quality strategy and COPC-aligned frameworks, overseeing internal and partner-site evaluations, conducting root-cause analysis, escalating high-severity issues, automating KPI reporting and quality assurance, and driving AI and analytics adoption. The role also manages a distributed quality team, develops stakeholder reporting, improves coaching effectiveness, and partners with operations leadership. Success requires strong expertise in complex, high-volume support environments and quality governance.

Own the financial services product line from discovery through launch and iteration. Set the roadmap, determine which deployment capabilities become core product features, conduct user discovery, define quality standards, and establish accuracy, human-review, citation, and safe-failure models for regulated workflows. Prototype in design or code, collaborate with engineers and designers, understand the market, and deliver reusable AI capabilities across financial institutions.

Lead the design, delivery, and operationalisation of agentic AI workflows and agents from discovery to production. Build integrations with enterprise systems, reusable automation patterns, and monitoring frameworks while partnering with stakeholders and evangelising safe, auditable AI automation across the business.

Build and maintain revenue, demand, pipeline, quota, territory, and sales-capacity models. Translate lead targets into marketing budgets and channel recommendations, monitor funnel performance, forecast revenue and supply needs, and identify gaps between sales plans and operational capacity. Partner cross-functionally with Marketing, Sales, Finance, Operations, and Supply Chain to improve forecast accuracy, support reforecasting, and establish weekly, monthly, and quarterly planning cadences.

Lead product strategy and roadmap for Webflow's agentic AI surfaces (AI Assistant, MCP, Agent Instructions, and underlying AI platform). Define quality metrics, guardrails, and evaluations for non-deterministic agent experiences. Balance developer-focused APIs/platforms with approachable creator UX, work closely with engineering/design/data, prototype and ship features (including contributing code), and adapt strategy as AI models and protocols evolve.

Lead multi-year vision, strategy, and roadmap for Webflow's agent surfaces and AI platform. Align cross-functional teams, set quality standards and guardrails for non-deterministic agent experiences, serve both developers and creators, prototype and ship product improvements (including contributing code), and mentor PMs while measuring and iterating on outcomes.

Lead product strategy, portfolio execution, and AI-first transformation for Colliers’ proprietary commercial technology platforms. Oversee multiple Product Management teams, establish roadmaps and FED governance, partner with Data, AI, Engineering, and global business leaders, and deliver enterprise B2B products for sales and services professionals. Drive adoption, product telemetry, KPIs, ROI measurement, and AI-enabled workflows using cloud and analytics technologies.

Own end-to-end recruiting for go-to-market roles across Sales, Marketing, Partnerships, and Customer Success. Partner with hiring managers on success profiles, job descriptions, sourcing strategies, and candidate evaluation. Coordinate global interviews, maintain ATS data and recruiting metrics, deliver an excellent candidate experience, and collaborate with People Ops on offers, onboarding, and employer branding. Stay current on AI, 3D, and creative technology to engage talent effectively.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Leads delivery of medium- and large-scale AWS digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches, recruits, and develops staff. Requires strong program management, client service, agile delivery, business analysis, communication, and team leadership experience.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.