Director of Engineering

The role

You will co-own an AI engineering team of roughly 30 forward deployed engineers. You will manage team health, run performance reviews, and provide technical guidance on AI engineering and evaluation strategies.

What you will do

• Co-own the AI engineering team of roughly 30 forward deployed engineers
• Own the health and happiness of the team through regular 1:1s
• Run performance reviews against the FDE rubric
• Level up the team through training sessions, playbooks, and pairing
• Define and maintain the baseline AI competency for the team
• Codify best practices into shared, documented practice
• Track engagement health across the portfolio
• Review architectures and pressure-test approaches
• Provide project and technical guidance on evaluation strategy and instrumentation
• Step onto engagements as technical lead when a project needs it

Required qualifications

• 10+ years of engineering experience
• 3+ years directly managing senior engineers, including hiring and performance management
• Experience leading teams of 15+ engineers
• Hands-on technical ability to read architecture and propose improvements
• Strong full stack depth with TypeScript, React, Node.js, Python or Go
• Proven experience building and shipping production agentic applications
• Confidence setting up evaluation harnesses and testing infrastructure around agentic applications
• Familiarity with MLOps or LLMOps practices
• Comfort working with at least one major cloud provider (GCP, AWS, Azure)
• AI-native in daily practice
• Previous experience in consulting, agency, or forward deployed engineering roles
• Track record of developing people through training, onboarding, or mentorship

Nice to have

• Enterprise depth in financial services, healthcare, or retail
• Experience scaling a forward deployed engineering, solutions engineering, or professional services team
• Experience running AI enablement or developer productivity programs
• Background as a founder, CTO, or early engineer at a venture-backed startup
• Experience fine-tuning LLMs using open-source models or closed-source services
• Familiarity with Kubernetes and container orchestration
• Experience designing scalable data pipelines or data lakes
• Relevant certifications, open-source contributions, or technical publications

Benefits

• Work From Anywhere
• Work / Life Balance
• Full benefits (healthcare, dental, vision)
• 401k for US employees
• Unlimited PTO
• Regular Team Retreat

Before you apply

• AI is used to help review and shortlist applications

About the company

Lazer is a remote-first digital product studio headquartered in Toronto, Ontario, with 180+ senior engineers and designers. They build products for clients ranging from early-stage startups to large enterprises.