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.

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.

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.

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.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, product development, customer discovery, AI system verification, fundraising support, and eventual technical team building. Build maintainable products with frontier models and agentic architectures, prioritize customer traction before scaling, and translate ambiguous product intent into clear specifications and working solutions. This is a full-time, exclusive founder partnership with meaningful equity and decision-making authority.

Lead Omnex, an AI-native operating system for multi-channel ecommerce sellers, as co-founder and CEO. Own venture strategy, customer development, product direction, fundraising, go-to-market, hiring, and company culture. The role involves refining the ideal customer profile, pricing, and positioning; securing pilot and paid customers; partnering with product and engineering teams to launch V1; raising seed capital; and recruiting the founding team. This is an equity-based co-founder partnership, not a salaried executive position.

Lead Foundry, an AI-native recruiting venture, from inception through execution. Own strategy, ICP, pricing, positioning, customer development, pilot placements, go-to-market, product collaboration, fundraising, and founding-team development. The CEO will partner with FutureSight’s design, engineering, growth, and fundraising teams to launch the MVP, convert design partners into paying clients, raise seed capital, and establish the company’s culture.

Lead LucentAI as Co-Founder and CEO, setting strategy, refining customer and pricing models, developing pilots with insurance-defense firms, guiding the V1 product, raising seed capital, and recruiting the founding team. The venture automates medical-record retrieval and review, billing analysis, and discovery triage while preserving human oversight of legal drafting. The role requires founder-level leadership, B2B AI or SaaS go-to-market expertise, fundraising ability, talent development, and deep insurance-defense or claims-operations knowledge.

Lead, coach, and grow a team of UX researchers supporting Stripe Payments and Risk products. Conduct and guide mixed-methods research, translate user insights into product strategy, establish research programs and infrastructure, and enable cross-functional teams to apply research practices. Partner with product, design, business, and executive leaders while guiding AI-driven improvements to research processes and sourcing external research vendors.

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.