Top AI Jobs in Vancouver

Lead the end-to-end design of Discover, Circle’s AI-driven two-sided marketplace. Set product and design direction, solve discovery and trust challenges for creators and consumers, prototype rapidly with AI-assisted tools, collaborate with engineers through launch, and mentor designers. The role requires deep consumer marketplace experience, ownership of complex multi-user flows, shipped zero-to-one work, and the ability to operate independently in ambiguity.

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 cross-functional transformation initiatives from design through implementation, including business integration, systems modernization, AI-enabled process redesign, and customer-facing operating model changes. Partners with senior leaders to define priorities, business cases, governance, milestones, resources, and success measures. Manages internal stakeholders, vendors, and contracted teams; develops financial models and analyses; identifies risks and removes delivery barriers; and reports recommendations and progress to executive leadership.

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.

Manage end-to-end IT and indirect procurement, including intake, sourcing, supplier evaluations, negotiations, contract management, renewals, spend tracking, compliance, and supplier performance. Partner with stakeholders to develop procurement strategies, identify savings, mitigate risk, improve processes, and standardize tools and reporting across technology, professional services, and other categories.

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.

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.

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.

Drive new-logo enterprise sales across North America for data connectivity, AI, embedded analytics, and collaborative BI solutions. Source outbound pipeline, manage forecasts and quotas, conduct consultative discovery, demonstrate solutions, navigate technical evaluations, procurement, and legal, and close complex multi-stakeholder deals. Engage executive, product, engineering, data, and analytics stakeholders while applying structured sales methodologies and contributing competitive intelligence to go-to-market strategy.

Leads Sigmoid’s insurance consulting practice, combining insurance-domain expertise with analytics, AI, and data transformation. Responsibilities include strategic account leadership, business development, client advisory, transformation roadmaps, solution oversight, thought leadership, and management of consultants and subject matter experts. The role translates insurance challenges across claims, underwriting, policy servicing, customer operations, distribution, and absence management into analytics and AI/ML solutions while driving executive stakeholder engagement and organizational adoption.

Own strategic territories and close net-new enterprise software deals. Lead value-based sales cycles from discovery through proof of value, negotiation, and close; build executive relationships; develop account strategies; maintain Salesforce pipeline and forecasts; partner with alliances teams; and advise customers on supply chain resilience, risk, and compliance.

Supports the GTM Lead and founders across sales, growth, and content. Responsibilities include creating technical content for AI products, running growth experiments, supporting outbound initiatives, building the sales funnel, communicating with technical buyers, and collaborating with engineering in an early-stage environment.

Build Lingopal’s go-to-market motion for its evolving AI agent platform. Develop positioning, target accounts, outbound strategy, sales processes, and pricing inputs. Own enterprise sales from prospecting through discovery, pilots, and closing across customer-support-heavy enterprises and scaling AI-agent companies. Engage senior buyers including Chief AI Officers, COOs, and CTOs, while feeding market insights back into product strategy.

Produce provocative, research-driven insights and advisory for CFOs, develop thought leadership on finance transformation and AI, deliver client-facing presentations, support sales and peer review, mentor junior analysts, and drive research process improvements to influence finance strategy and market agendas.

Build Weave’s AI-native lead generation infrastructure from scratch, including agentic workflows, automation, lead sourcing, enrichment, qualification, targeting models, and multichannel campaigns. Partner with account executives and RevOps to define lead quality, maintain HubSpot data hygiene, improve handoffs, and connect lead quality to pipeline conversion. Run data-driven experiments to optimize engagement, conversion rates, and pipeline contribution.

Le directeur ou la directrice dirigera la stratégie, la feuille de route et l’équipe de gestion de produits axées sur la croissance des vendeurs et des marchands. La personne optimisera la distribution, la découverte, la conversion et les ventes sur des plateformes de marché et d’infonuagique, établira des partenariats stratégiques et mobilisera les équipes d’ingénierie, de ventes, de marketing, de finance et de réussite client. Le rôle exige une solide expérience commerciale, du leadership produit et une expertise des écosystèmes technologiques.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Drive adoption of Fireworks among strategic AI companies by leading technical discovery, customer evaluations, proofs of concept, onboarding, production deployments, and complex commercial negotiations. Build relationships with founders, ML engineers, infrastructure leaders, and executives; coordinate with Field Engineering, Applied AI, Product, and Research teams; identify prospects through networks and events; and manage customer partnerships from initial engagement through scaled production.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.