Top AI Jobs in Vancouver

Leads and grows software engineering teams, including hiring, coaching, performance management, and career development. Defines technical strategy and roadmaps for backend, frontend, mobile, API, and AI-powered products. Oversees architecture, design reviews, cross-functional delivery, and production systems at scale while translating ambiguous customer problems into measurable outcomes. Partners with product, design, and customer teams and raises engineering quality, velocity, and organizational standards.

Leads revenue and go-to-market strategy across segmentation, sales coverage, monetization, market expansion, pricing, packaging, and investment priorities. Builds models, analyses, and decision memos; advises senior Sales, Finance, and Product leaders; translates customer and field insights into product and commercial recommendations; and partners with Field Operations and Enablement to execute multi-quarter changes.

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Leads fraud strategy for new products, payment methods, and customer channels. Manages technical program managers and fraud data analysts, defines fraud controls from risk assessment through delivery, evaluates experiments and control performance, coordinates cross-functional stakeholders, prioritizes initiatives, handles fraud incidents, and communicates risks and recommendations to executives. Requires strong expertise in fraud detection, prevention, AI, analytics, and financial risk, with experience in payments, fintech, or remittance preferred.

Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads and executes risk-based IT, technology, and cybersecurity audits for a regulated financial institution. Responsibilities include risk assessment, audit scoping, control testing, reporting, remediation validation, application and infrastructure reviews, third-party technology assessments, audit planning, methodology improvement, and coaching. The role requires translating complex technical risks for varied audiences and applying data analytics and AI throughout the audit lifecycle.

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.

Senior Product Manager responsible for shaping Microsoft Fabric data integration capabilities. The role involves analyzing customer and market insights, defining requirements, prioritizing features, planning the roadmap, partnering with engineering and design, monitoring product metrics, and supporting launches and customer adoption. The manager will improve data integration experiences across cloud platforms, analytics, and enterprise software while coordinating cross-functional stakeholders and incorporating AI-related opportunities.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Lead AI- and data-driven business transformation for North American customers across order-to-cash, procure-to-pay, inventory, and supply chain processes. Own value realization from discovery through ROI, develop executive narratives, manage stakeholders and global transformation workstreams, automate governance and project management with AI tools, and drive Celonis platform adoption. Partner with sales, value engineering, and customer leaders to build strategic roadmaps, enable change, and identify expansion opportunities.

Deploys, configures, troubleshoots, and improves Workday AI agents in early-access customer environments. Serves as the technical contact for design partners, analyzes tenant data and workflows, triages bugs and configuration issues, translates customer feedback into engineering requirements, and documents deployment playbooks. The role also supports product readiness evaluations, customer implementations, and early general availability releases while managing risks, expectations, and technical initiatives.

Conduct advanced research on large foundation models and post-training techniques for specialized domains. Develop AI-driven systems, research prototypes, and software tools; collaborate with researchers, engineers, and cross-functional teams; publish findings in leading conferences and journals; and present work at industry events.

Lead a high-volume Scale Customer Success team serving mid-market and large commercial customers. Build segmentation strategies, digital and AI-driven engagement programs, playbooks, and lifecycle workflows to improve retention, expansion, adoption, and CSM productivity. Hire and develop CSMs, manage risk using data, collaborate with Sales and cross-functional teams, and personally handle critical customer escalations.

Teach undergraduate and graduate analytics courses in areas including statistics, data visualization, applied machine intelligence, evidence-based management, and statistical modeling. Develop curriculum and course materials, oversee course instruction, evaluate part-time faculty, support accreditation, and contribute to faculty development, scholarship, university service, enrollment activities, and program projects. The role serves diverse global students in both online and in-person modalities.

Partners with leaders and HR business partners to assess and redesign organizational structures, operating models, workflows, roles, decision rights, and workforce capabilities. Develops evidence-based design options, job architecture recommendations, implementation plans, and change-impact materials. Evaluates technology and AI-enabled work redesign opportunities, supports role and job-description alignment, facilitates stakeholder engagement, and measures post-implementation outcomes. Provides organizational design tools, guidance, coaching, and governance support.

Leads the Customer Success Technology team, developing technical talent and owning the CS technology stack roadmap. Drives automation, AI-enabled workflows, process improvement, intake and issue resolution, KPIs, SLAs, vendor management, and licensing. Partners with Success Operations, Engineering, and business leaders to deliver technology projects, manage risks, establish scalable delivery practices, and translate business needs into effective systems and measurable outcomes.

Leads a team developing and deploying shared agentic AI and machine learning capabilities for commercial aviation products. Responsibilities include AI safety, quality, governance, platform enablement, roadmap development, cross-functional collaboration, stakeholder engagement, and people management. The role requires production AI/ML delivery experience, agentic AI expertise, and the ability to guide technical decisions and enterprise partnerships.

Build Superhuman Mail’s AI platform, including MCP tools, agentic workflows, personalization, LLM evaluation systems, and model-selection infrastructure. Partner across teams to provide reusable AI capabilities, ship production LLM features, and improve modeling approaches, data collection, and quality measurement. The role combines backend engineering with applied AI and requires adapting quickly as the field evolves.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Own and scale enterprise compensation programs, including pay structures, equity, promotions, geo-pay, and incentive frameworks. Partner with compensation operations and data teams to automate workflows, build self-service tools, establish policy governance, and improve reporting. Advise senior leadership on talent market positioning, pay equity, and organizational design while driving strategic, data-informed total rewards initiatives.

Develop and publish organic social media content across LinkedIn and emerging platforms, adapt content for different formats, monitor conversations, engage audiences, and track performance. The role involves creating short-form video, collaborating cross-functionally, supporting executive communications, identifying trends, experimenting with new channels, and maintaining Clio’s brand voice across technology, AI, legaltech, and legal industry conversations.

Designs, deploys, and operates security controls for Dropbox’s AI and agentic infrastructure across cloud, Kubernetes, data stores, and on-premises systems. Secures AI agents and non-human workloads through authentication, authorization, networking, policy-as-code, infrastructure-as-code, and automation. Addresses prompt injection, data and model poisoning, AI supply-chain risks, and MCP integrations. Leads security initiatives, infrastructure hardening, governance, and cross-functional efforts while participating in on-call rotations.

Lead development of highly available, distributed payments platform services and global bill payment capabilities. Design scalable, secure, high-throughput backend systems, APIs, and database solutions while integrating multiple payment providers and risk controls. Contribute hands-on production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.