Top AI Jobs in Vancouver

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Leads complex federal proposal and pursuit efforts, including RFP analysis, win strategy, capture planning, content development, compliance, scheduling, quality control, and interview preparation. Develops pursuit-specific marketing campaigns, presentations, qualification materials, and client positioning while coordinating cross-functional teams and leadership. Supports account management, public relations, thought leadership, opportunity tracking, and brand-building initiatives across multiple geographies.

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.

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 strategic product and growth partnerships with Big Tech, legal technology firms, ISVs, and other technology partners. Build and prioritize a high-value deal pipeline, negotiate complex agreements, collaborate with Product, Engineering, GTM, Legal, and Compliance, and develop partnership monetization strategies. Mentor business development and partnership teams while driving measurable revenue, lead generation, product alignment, and long-term partner value.

Develop customer-specific AI solutions for consequential business decisions. Investigate internal and public information, evaluate evidence, identify uncertainty, and design reliable AI workflows. Work directly with customers to understand needs, prototype solutions, test them with users, and improve their usefulness. Translate successful workflows into repeatable product capabilities while partnering with engineers on integrations and missing technical functionality.

Generate and qualify inbound and outbound sales opportunities for the Canadian sales team. Research healthcare accounts, engage clinicians and decision-makers, conduct conversations and product demonstrations, diagnose operational pain points, and route qualified opportunities across sales and customer teams. Maintain accurate notes and handoffs, develop strong product knowledge, and continuously improve qualification and messaging processes in a fast-paced, in-person startup environment.

Establish and lead an interdisciplinary research program in global health engineering and equitable health technologies. Develop, translate, implement, and evaluate technologies such as medical devices, diagnostics, biosensors, wearables, digital health platforms, and AI-enabled solutions. Build partnerships with healthcare providers, communities, patients, health authorities, and industry; teach biomedical engineering and medicine courses; mentor learners; and contribute academic and professional service.

Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

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.

Develop custom web applications, data-processing automation, and third-party API integrations for clients. Consult with customers, identify innovative solutions, provide project updates, document implementations, improve development standards, and build reusable tools. The role requires front-end, back-end, or full-stack development experience, strong JavaScript/TypeScript, Node.js, Angular, SQL, reactive programming, REST API, and AI-assisted development skills. Fluency in French and English is required.

The Legal Technology and AI Attorney applies restructuring expertise to identify, evaluate, and implement AI-enabled tools, automation, knowledge resources, and technology-supported workflows. The role develops templates, playbooks, guidance, and practice-support systems; pilots emerging technologies; trains attorneys and staff; and collaborates with legal, technology, research, and administrative teams to improve efficiency, consistency, and scalability in restructuring matters.

Supports litigation teams by evaluating, configuring, and implementing AI and legal technology workflows. Develops prompts, AI-assisted research and drafting processes, litigation analytics solutions, governance frameworks, training materials, and best practices. Collaborates with attorneys, IT, Information Security, and Knowledge Management to improve document analysis, legal research, case preparation, and technology adoption.

Attorney supporting the intersection of technology, AI, and legal practice. Responsibilities include identifying AI and automation opportunities, evaluating and implementing legal technology tools, designing workflows, maintaining knowledge assets, analyzing legal work product, training attorneys and staff, and advising Tech & Innovation lawyers. The role requires at least four years of technology-focused legal experience, bar admission, strong communication skills, and an interest in workflow design, tool development, or process improvement.

Leads presales activities for insurance software and geospatial analytics solutions, including customer discovery, requirements analysis, personalized demonstrations, presentations, proposals, RFP/RFI responses, and competitive materials. Partners with sales, product marketing, cloud operations, and professional services teams. Advises customers on cloud migration and integration requirements, supports implementation transitions, and presents at industry events. Requires substantial insurance-sector expertise, strong communication skills, AI enablement experience, and travel up to 50%.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, content discovery, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, and implementation standards. Define platform-level goals, analyze outcomes through cohort testing and causal measurement, and report organic performance and client impact to leadership.

Leads BDO’s enterprise Talent Development portfolio and a team of seven professionals. Sets program priorities, allocates resources, advises senior leaders, evaluates program impact, manages risks and vendors, and drives innovation across leadership and talent development. The role requires strategic business partnership, portfolio governance, measurement, operational excellence, coaching, and continuous improvement across a complex, distributed organization.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Leads global workplace strategy programs by improving workflows, operating mechanisms, governance, and cross-functional execution. Evaluates and implements AI tools and automation, translates business needs into implementation plans, coordinates regional workplace initiatives, manages risks and dependencies, and tracks KPIs. Partners with Workplace Operations, HR, IT, Security, Procurement, Finance, Legal, People Analytics, and regional teams to standardize processes, improve service delivery, and provide executive-ready reporting.