Top AI Jobs in Vancouver

Conduct AI-driven security assessments across software, hardware, and firmware; develop AI-enabled offensive and defensive security tooling; identify and remediate vulnerabilities; test LLMs, agentic workflows, and cloud environments; and guide organization-wide AI security strategy. Partner with engineering and leadership, lead threat-modeling sessions, and communicate security findings and recommendations to senior stakeholders.

Serve as the Finance-focused functional expert enabling GSI and ecosystem partners on Workday Financials and agentic AI. Develop playbooks, translate roadmap into outcomes, support partner positioning, demos, competitive messaging, and regulatory/risk considerations for finance AI use cases. Collaborate with solution architecture, solution consulting, and partner teams to ensure partner readiness, demo fidelity, and go-to-market success.

Leads legal operations initiatives, including metrics, dashboards, reporting, workflow redesign, intake management, and AI-assisted automation. The role improves scalable legal processes, manages team queues, supports contract review workflows, and partners cross-functionally to deliver operational efficiencies. It requires 5+ years of relevant operations, analytical, or technical experience, strong project management and communication skills, and hands-on experience with generative AI and legal operations tools.

Build Retell AI’s legal function and serve as Sales’ primary partner on enterprise transactions. Responsibilities include negotiating MSAs, DPAs, BAAs, and order forms; creating contract templates, negotiation playbooks, and turnaround SLAs; advising on voice AI issues such as consent, TCPA, AI disclosure, and use-case reviews; and managing platform terms, privacy policies, acceptable-use policies, and outside counsel.

Leads Kinaxis’s Advanced Mathematical Modelling function, managing architects, algorithm developers, and operations research specialists. Provides technical and strategic leadership across optimization, machine learning, simulation, decision science, and algorithm development. Partners with Product Management, Engineering, and customer teams to solve supply chain challenges, guides research and prototyping, shapes platform architecture, and promotes scalable production solutions. Oversees talent acquisition, coaching, workforce planning, performance management, and career development while establishing the function’s vision and operating model.

Build repeatable AI product packages that drive customer adoption from initial use to team-wide deployment. Partner with Product, Engineering, and Customer Success to solve technical blockers, translate customer needs into use cases, support Motion’s internal marketing team, and help influencers adopt Runneth. The role combines customer relationship management, marketing knowledge, hands-on AI building, technical problem-solving, and evolving customer success ownership.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Own the end-to-end customer journey from initial discovery through insurance purchase and cross-product adoption. Lead landing pages, signup funnels, quote shopping, personalization, customer communications, and carrier integrations. Partner with Engineering, Design, Analytics, Marketing, and leadership to identify opportunities, analyze customer needs, simplify complex experiences, and deliver high-impact products quickly. The role requires strong product ownership, analytical ability, customer empathy, communication, and comfort navigating ambiguity in a fast-paced environment.

Develop investment analytics that generate actionable insights and improve investment manager effectiveness. Responsibilities include researching analytic methodologies, building proofs of concept, leveraging financial datasets, analyzing performance and risk, productionalizing solutions, resolving complex issues, and applying AI to financial modeling, anomaly detection, and natural-language querying. The role collaborates with investment managers, senior leadership, and platform teams while communicating technical concepts and mitigating process risks.

Leads an Investment Insights team creating financial analytics that improve investment manager effectiveness. Responsibilities include designing and developing analytics, researching methodologies, partnering with investment teams and senior leadership, productionizing solutions, applying AI, resolving complex analytical issues, and managing analysts across Canada and India. The role also shapes team strategy, develops talent, manages risks, and builds stakeholder relationships.

Lead corporate affairs and public policy communications for an AI video company. Develop positions on responsible AI, creative rights, safety, privacy, and content moderation; manage sensitive issues and external responses; prepare executives for media, policymaker, and stakeholder engagement; and coordinate messaging across Legal, Product, Trust & Safety, Communications, and enterprise teams.

Leads HackerOne’s partnership sales strategy, revenue performance, and team of seven Channel Account Managers. Builds and scales reseller, technology alliance, and cloud marketplace partnerships, including AWS. Establishes operating models, metrics, forecasting, enablement, and accountability while developing executive partner relationships. Collaborates with Sales, Marketing, Revenue Operations, Legal, Customer Success, and Product to drive partner-sourced and partner-influenced pipeline, revenue, and durable growth.

Own the Commercial SMB customer segment, driving onboarding, adoption, retention, and expansion. Build a proactive, AI-assisted customer success model; lead SMB onboarding and AI agent rollout; design scalable workflows, processes, and playbooks; coordinate with Sales, Marketing, RevOps, Support, Product, and AI teams; and represent SMB customer needs across the organization.

Build and deploy production-grade AI and machine learning systems, including agentic applications, internal developer tooling, orchestration, APIs, evaluation frameworks, guardrails, and scalable deployment pipelines. Partner with data scientists to productionize proofs of concept, tune and validate models, monitor performance, manage versioning, and ensure reliable, ethical, and scalable operations.

Build and ship security tools for agentic AI workloads running on Kubernetes. Responsibilities include traffic interception, policy enforcement, runtime protection, workload discovery, and observability. The role involves developing production software with technologies such as eBPF, Go, Python, Cedar, agentgateway, OpenTelemetry, and ClickHouse, while owning features end to end in a fast-moving environment.

Build and evaluate AI agents, agentic workflows, RAG pipelines, and LLM-powered applications. Integrate models with APIs, databases, cloud services, and enterprise systems while improving reliability, performance, observability, and traceability. Apply software engineering practices, collaborate with AI and engineering teams, develop prototypes into scalable solutions, and communicate work through documentation and demonstrations.

Leads proactive and reactive technical delivery for enterprise customers using Power Platform, SharePoint, and Microsoft 365. Evaluates customer environments, identifies resiliency and security issues, provides modernization and AI transformation guidance, and delivers data-driven recommendations. Coordinates support, account, and engineering teams, contributes to incident resolution and on-call rotations, conducts assessments and workshops, and improves service delivery processes.

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.

Own end-to-end strategy, roadmap, discovery, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Lead 0-to-1 launches with engineering, design, and go-to-market teams; establish experimentation, evaluation, and engagement programs; incorporate customer and partner feedback; manage AI quality and trust; and communicate product decisions and results to executives and field teams.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Build and own production AI systems as the founding technical engineer within Jobber’s Office of the CEO. Architect systems end to end, including LLMs, retrieval, agents, integrations, permissions, security, reliability, and quality. Embed with teams to deliver AI into real workflows, evaluate build-versus-buy decisions, run rapid proofs of concept, and establish trustworthy AI standards. The role requires executive communication, pragmatic technology choices, and Staff-plus experience delivering systems used daily at scale.

Manage mid-market and enterprise customer accounts, leading onboarding, training, business reviews, engagement campaigns, renewals, and expansion coordination. Build stakeholder relationships, demonstrate product ROI, address objections, analyze usage data, deliver presentations and demonstrations, troubleshoot technical issues, and advocate for customer feedback internally. The role requires SaaS customer success or account management experience, strong communication and sales skills, and familiarity with HubSpot and Stripe.

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 and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.