Top Remote Jobs in Vancouver

Architects and manages global sales enablement programs spanning onboarding, methodology training, continuous learning, content, playbooks, and launch readiness. Uses Salesforce, conversation intelligence, sales engagement, and enablement platforms to diagnose performance gaps, measure program impact, and improve ramp time, pipeline execution, and win rates. Partners with sales leadership, Revenue Operations, Product Marketing, sellers, executives, and external vendors while managing enablement workstreams and performance dashboards.

The Account Director will build and manage enterprise sales pipelines through outbound, BDR, and inbound channels. Responsibilities include developing outbound strategies, managing complex sales cycles, conducting discovery and product demonstrations, negotiating pricing, closing high-value deals, and building strategic customer relationships that support adoption, retention, and expansion. The role also gathers customer feedback, collaborates cross-functionally, and represents the company at networking events and industry forums.

Drive product development for Mastercard’s identity and security solutions, from concept through market validation. Understand customer needs, lead market analysis, shape product positioning, prioritize features, and manage roadmaps. Collaborate with technology, marketing, business development, and regional teams to deliver capabilities on time and within budget. Champion product value propositions, remove delivery obstacles, and manage global stakeholders across a matrixed organization.

Partners with Account Executives to support mid-market sales through discovery, customized product demonstrations, solution design, RFI/RFP responses, competitive positioning, and value-based customer advising. Translates technical and operational challenges into measurable business outcomes while collaborating with Product, Engineering, Customer Success, and Marketing. Requires customer-facing pre-sales experience, SaaS or hardware knowledge, API and integration familiarity, strong communication, analytical skills, and 15–20% travel.

Develop and maintain value-based financial models that demonstrate the business impact of ServiceNow products across industries and business functions. Support go-to-market strategy, service offerings, value content, and related tools. Collaborate with product, marketing, sales, solution consulting, and other cross-functional teams. Present to stakeholders, contribute to enterprise initiatives, manage multiple projects, and occasionally interact with customers and travel internationally.

Designs and maintains reliable data pipelines and computed tables using SparkSQL and PySpark. Integrates IoT, product, customer, external, unstructured, and ML-related data into scalable data models supporting analytics, causal inference, model training, and dashboards. The role requires ETL development, data orchestration, API integration, strong data quality and uptime, and collaboration with Data Science, AI/ML, Analytics, and engineering teams. This is a remote position for candidates residing in Canada.

Lead architecture and implementation of cinematic and narrative systems in Unreal Engine 4/5, including Sequencer, camera, animation, dialog, and editor tools. Own runtime systems, authoring workflows, performance optimization, and integration with Animation, Audio, and Design. Mentor engineers, define technical standards, and research new engine features to improve narrative production and creator workflows.

Build and scale first-line risk control monitoring systems using statistical analysis, automated workflows, and reusable data science modules. Define risk metrics, investigate control performance, establish thresholds and guardrails, and translate analyses into monitoring applications. Partner with risk, compliance, product, and engineering teams to improve governance, identify monitoring gaps, and support decision-making. Lead ambiguous, cross-functional initiatives while communicating findings, limitations, and recommendations to technical and executive stakeholders.

Build and scale first-line risk control performance monitoring for financial products. Develop metrics, key risk indicators, statistical baselines, thresholds, automated workflows, and reusable analytical modules. Partner with risk, compliance, product, and engineering teams to improve governance, identify monitoring gaps, evaluate control effectiveness, and support decisions. Lead ambiguous initiatives from definition through adoption while communicating findings, limitations, and recommendations to technical and executive stakeholders.

Shape legal AI products by designing evaluations, validating AI outputs, translating legal workflows into product requirements, and turning customer feedback into product improvements. Partner with Engineering, Product, Design, and GTM teams from discovery through launch. Provide legal expertise, define quality standards, create evaluation metrics, and guide roadmap decisions for AI experiences used by in-house legal teams.