Top AI Jobs in Vancouver

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.

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 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.

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.

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.

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.

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.

Owns company-wide operating cadence, work management systems, process adoption, SOPs, reporting, operational controls, and cross-functional initiatives. Manages onboarding, learning infrastructure, enablement, and leadership development programs. Identifies automation and AI opportunities, implements scalable processes, measures outcomes, and provides recommendation-led proposals to senior leadership.

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.

Build and lead the development productivity platform supporting SaaS, mobile, and embedded products. Responsibilities include creating automated CI/CD and release pipelines, improving developer environments and self-service tooling, building reliable infrastructure and testing systems, optimizing platform performance, and establishing engineering standards. The role also includes defining team direction, mentoring engineers, and driving adoption through collaboration, demos, and technical sessions.

Leads complex consulting and advisory engagements for Canadian SMEs and mid-market businesses, focusing on strategic planning, operational improvement, manufacturing, automation, artificial intelligence, organizational effectiveness, and transformation. Manages project scope, budgets, timelines, risks, and deliverables while advising executives and business owners. Develops advisory solutions, supports business development, facilitates stakeholder collaboration, and represents BDC through thought leadership and client-facing activities.

Build automated reports, dashboards, analytical workflows, benchmarks, and data-driven tools using utility and AMI data. Analyze outage performance, power quality, device performance, reliability, and operational metrics to identify trends and improvement opportunities. Support customer analytics onboarding, data validation, reporting configuration, and ongoing insights. Partner cross-functionally with Product, Engineering, Analytics, and NOC teams while applying Python, SQL, AI, and machine learning techniques.

Leads the Product Owner organization and transforms it into a high-performing, product-centric capability. Establishes role standards, competency frameworks, career pathways, operating practices, and performance measures. Advances SAFe and agile product delivery, strengthens product strategy-to-outcome alignment, drives organizational change, and enables responsible AI use in product workflows. Partners with Product, Engineering, and leadership stakeholders while measuring capability maturity, adoption, product flow, and business impact.

Own and scale Clarity’s paid acquisition strategy across Google, LinkedIn, and programmatic channels. Manage a multimillion-dollar media budget, attribution, testing, campaign analytics, CAC, and pipeline reporting. Expand acquisition into investor and issuer segments, identify new channels, and apply AI, agencies, and team resources to improve efficiency. Partner with Sales and Private Capital Solutions while reporting performance and ROI to executive leadership.

Lead product marketing strategy for Loopio’s multi-product, AI-native B2B SaaS portfolio. Own product narratives, go-to-market plans, pricing and packaging strategy, competitive positioning, win/loss analysis, messaging, and sales enablement. Partner with Product, Finance, Sales, Customer Experience, and executive leadership on launches and long-term market strategy. Serve as a market and customer voice, mentor product marketers, advise roadmap decisions, and represent Loopio externally.

Develop AI and big data solutions for real-time fraud and cyber-threat detection. Responsibilities include building data pipelines and feature engineering workflows, processing large-scale datasets, improving model monitoring and drift detection, applying MLOps and automation, and deploying scalable AI capabilities. The role collaborates with data scientists, engineers, and product teams to improve model performance, reliability, and operational efficiency.

Lead the design and implementation of AI products for edge devices, optimizing machine learning models under edge-compute constraints. Work with petabyte-scale sensor, video, text, diagnostic, transaction, and location data; collaborate with ML, firmware, hardware, and full-stack engineers; prototype new AI experiences; ship production systems at scale; and mentor ML engineers.