Engineering Manager (AI)

Location: Hybrid in Toronto or San Francisco

Company

hirify.global is building an AI-native automation platform that enables enterprise healthcare organizations to deploy reliable AI agents across fragmented operational systems.

What you will do

• Lead the performance, development, and effectiveness of a team of up to 12 engineers.
• Drive technical execution across a significant area of the AI platform, including architecture reviews, planning, delivery, and incident response.
• Translate ambiguous product and customer problems into clear technical plans, ownership, and measurable outcomes.
• Improve the platform so customer deployments become faster, more repeatable, and more scalable.
• Set technical direction with senior engineers and engineering leadership while partnering with Product, Design, Deployment, Security, and customer-facing teams.
• Hire, onboard, coach, and retain engineers while building a culture of autonomy, accountability, and growth.

Requirements

• Experience leading a high-performing engineering team during an ambiguous, fast-growing stage.
• Strong technical judgment in production software systems, architecture, reliability, and operational excellence.
• Meaningful experience with LLMs, AI agents, evaluations, orchestration, model behavior, or other production AI systems.
• Strong product judgment and the ability to balance speed, quality, scalability, and customer impact.
• Experience developing engineers, addressing performance issues directly, and raising the talent bar.
• Familiarity with enterprise security and healthcare trust requirements, including HIPAA, SOC 2, PHI, permissions, auditability, logging, and data access.

Culture & Benefits

• Operate with low ego, high standards, direct communication, and founder-level urgency.
• Work closely with architecture, product, customers, and production systems rather than managing from a distance.
• Shape the engineering team, technical foundation, and operating culture during rapid growth.
• Focus on shipped outcomes, system quality, customer trust, and team growth rather than process volume or activity metrics.