Engineering Manager, AI Agents (AI Engineering)

TL;DR

Engineering Manager, AI Agents (AI Engineering): Leading the Agent Orchestration team to build connections between hirify.global's AI agents and the broader enterprise ecosystem, focusing on agent skills, deep integrations, and vertical use cases. Focus on architecting the foundation that lets AI agents operate seamlessly across customer environments while meeting enterprise requirements for reliability and compliance.

Location: Based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday.

Salary: $238,000-$270,000 CAD

Company

hirify.global is a leading platform for human + AI collaboration, helping millions of teams worldwide achieve their most important goals faster.

What you will do

• Lead and grow the Agent Orchestration team, setting technical direction for connecting hirify.global's AI agents to the broader enterprise ecosystem.
• Drive the architecture and execution of agent skills, deep integrations, and vertical use cases for AI Teammates.
• Partner with Product, Design, and Data Science to define and execute roadmap priorities.
• Drive alignment across AI teams on shared infrastructure, APIs, and patterns for agent development and integration.
• Improve team delivery pace, champion engineering velocity, and drive AI coding adoption.
• Attract, retain, and develop exceptional senior engineering talent.

Requirements

• 8+ years of experience in software engineering, including 4+ years managing technical teams.
• Interest and passion for applied AI, large language models, and agentic systems.
• Strong systems integration and platform-building experience, connecting complex systems across diverse environments.
• Proven ability to set technical direction and drive alignment across multiple teams.
• Demonstrated ability to attract, develop, and retain senior engineering talent.
• Comfortable with ambiguity and thriving in zero-to-one product environments.

Nice to have

• Applied AI experience in production environments.
• Familiarity with agent capability patterns, skill acquisition systems, and dynamic capability routing.
• Understanding of emerging protocols for standardizing how agents interact with tools.
• Track record of driving engineering velocity improvements and developer productivity tooling adoption.
• Experience building deep integrations across enterprise platforms (Slack, Microsoft Teams, Salesforce, etc.).

Culture & Benefits

• Comprehensive compensation package including equity, sales incentive pay, and benefits.
• Mental health, wellness & fitness benefits.
• Career coaching & support.
• Inclusive family building benefits.
• Long-term savings or retirement plans.
• In-office culinary options to cater to dietary preferences.