Account Executive - Western Canada

TL;DR

Account Executive - Western Canada (Enterprise AI Infrastructure): Developing enterprise customer accounts and driving revenue for a data platform built for AI training, inference, and real-time analytics with an accent on strategic selling, channel partnerships, and customer expansion. Focus on penetrating large accounts, engaging business and technical decision-makers, aligning sales cycles, and closing complex infrastructure deals.

Location: Vancouver, British Columbia, with responsibility for Western Canada.

Company

hirify.global develops enterprise data management infrastructure for AI, analytics, data centers, edge environments, and cloud deployments.

What you will do

• Develop business across enterprise customers and build strategic account relationships.
• Generate revenue through direct sales and collaboration with channel partners.
• Manage the full sales process from prospecting and initial meetings through proof of concept, closing, and post-sales expansion.
• Identify decision-makers, penetrate large accounts, and develop account expansion strategies.
• Create and present customer proposals that connect the VAST solution to business objectives.

Requirements

• At least 7 years of direct enterprise sales experience.
• Consistent success exceeding quotas and generating referenceable business with large strategic customers.
• Experience developing sales regions from the ground up with limited resources.
• Strong communication, time management, work ethic, and competitive drive.
• Ability to communicate with customers and partners at both business and technical levels.
• Knowledge of storage technologies, including NFS, object storage, and enterprise computing architectures; proficiency with Salesforce and Microsoft Office.

Nice to have

• Experience in both large-company and startup environments.
• Background in customer success and post-sales expansion.

Culture & Benefits

• Customer-first environment focused on measurable market impact.
• Opportunity to contribute during a period of rapid company growth and major developments in AI infrastructure.
• Work with enterprise data and AI technologies across data center, edge, and cloud environments.