Director or VP of Engineering

TL;DR

Director or VP of Engineering (Engineering Platform): Own the yard operating platform end-to-end, with an accent on platform architecture, AI-enabled streaming workflows, and integrations that keep the system reliable and court-ready. Focus on hands-on technical credibility, measurable improvements to engineering workflow, and designing the next decade of infrastructure decisions that compound over time.

Location: Mississauga, Ontario (Hybrid)

Company

hirify.global builds an operating platform for high-traffic North American yard operations.

What you will do

• Own the platform end-to-end, setting direction and driving architectural decisions.
• Lead the engineering team that builds and operates the platform, with hands-on technical involvement.
• Advance AI-native product and engineering workflows, focusing on measurable outcomes (“receipts”).
• Design and evolve core capabilities: cameras/sensors ingestion, AI on streams, operator console, and audit trail.
• Own integrations with TMS and WMS systems and agentic decisioning components.
• Ensure the platform continues to earn its value each quarter in a real product business.

Requirements

• Strong hands-on credibility: open pull requests and participate in architecture reviews.
• Proven experience building and operating a real platform in a product business (not a delivery-only role).
• Experience with AI used inside the product and inside the engineering workflow (AI-native approach).
• Experience owning system architecture and end-to-end technical outcomes for a platform at scale.
• Prefer to be based in the Greater Toronto Area.

Culture & Benefits

• Hybrid setup with most of the platform team and leadership in Mississauga.
• Autonomy and control over platform direction and ownership of the system and team.
• High bar for technical rigor and measurable engineering workflow improvements.
• Long-term impact: architectural decisions made over the next 12 months compound for a decade.

Hiring process

• Architecture and technical credibility evaluation through early architecture review discussions.
• Discussion focused on past platform ownership, AI-native workflow changes, and measurable results.