Top AI Jobs in Vancouver

Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.

Leads the teams developing Samsara Assistant, Agent Studio, and agent extensibility. Manages approximately 10 machine learning engineers, applied scientists, and full-stack engineers through two tech leads. Owns product activation, answer quality, repeat usage, technical direction, agent platform frameworks, cross-functional partner adoption, and team hiring and development. The role combines AI product leadership, software engineering, platform strategy, and customer-focused growth for production agentic systems.

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.

Provides second-line independent oversight and challenge across technology, cyber, AI, data, digital, and model risks. Leads AI governance framework implementation, technology and cyber risk assessments, risk appetite monitoring, control reviews, remediation oversight, regulatory monitoring, and executive committee reporting. Advises technology and control teams on responsible innovation, resilience, third-party dependencies, business continuity, and risk acceptance while escalating exposures beyond approved thresholds.

Leads Vancity and VCIB’s enterprise privacy program as Chief Privacy Officer. Responsibilities include setting privacy strategy, overseeing regulatory compliance, risk management, privacy-by-design, consent and data governance, managing incidents and investigations, engaging regulators, advising executives and governance bodies, and developing the privacy team. Requires extensive Canadian privacy regulatory expertise, enterprise program leadership, and experience in financial services or other regulated industries.

Leads Vancity’s enterprise privacy program, translating strategy into operating plans, governance, controls, and performance measures. Oversees privacy-by-design reviews, impact assessments, consent and notice reviews, data-use assessments, privacy operations, access requests, and third-party and cross-border reviews. Manages complex privacy incidents and investigations, including risk assessment, notification analysis, remediation, and regulatory documentation. Provides expert advice on technology, artificial intelligence, analytics, and regulatory matters while influencing senior stakeholders and supporting training, reporting, examinations, and cross-functional initiatives.

Supports Financial Crime, AML, Fraud, and Security teams by analyzing workflows, identifying AI and automation opportunities, researching emerging technologies, developing proof-of-concept solutions, analyzing operational data, and presenting recommendations. The intern partners with stakeholders to improve processes, reduce manual effort, support regulatory standards, and assist with testing, change management, and implementation of automated solutions.

Drives new and expansion revenue among small and medium-sized business fleet customers. Responsibilities include prospecting, qualifying leads, conducting discovery conversations, delivering product demonstrations, managing opportunities in Salesforce and Salesloft, using partner and referral programs, and collaborating with revenue operations, marketing, and account teams. The role requires strong communication, organization, sales aptitude, customer relationship skills, and interest in developing expertise in telematics and fleet management.

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.

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.

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.

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.