146K–195K CAD / year
Engineering Manager, AI
Engineering managerRemote — British Columbia, Ontario, Canada
Published on 2026-09-21
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About this role
Lead the AI Intelligence Quality team building Lattice’s AI Platform for evaluating, monitoring, and improving AI product quality. Own the platform roadmap and guide cross-functional efforts to make AI evaluations a foundational capability across the company.
About the company
Lattice is a performance management platform that helps organizations improve employee engagement and development through tools for feedback, goal setting, and performance reviews. They serve a diverse range of businesses seeking to enhance their people management processes.
The team
AI Intelligence Quality (IQ) team
What you'll do
- Lead, coach, and grow a team of AI and software engineers.
- Own execution and delivery of the AI Platform roadmap.
- Build AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling.
- Partner with Product, Applied AI, Data Science, and Engineering to define and improve AI quality measurement.
- Drive decisions that improve platform scalability, reliability, and adoption.
What we're looking for
- Experience leading, hiring, coaching, and developing high-performing software engineering teams.
- Technical leadership experience in AI infrastructure, LLM- or agent-powered products, distributed systems, or developer platforms.
- Experience building enterprise SaaS AI products where quality, trust, reliability, and scalability matter.
- Track record leading cross-functional initiatives from strategy through execution.
- Strong communication, stakeholder management, product, and platform mindset.
- Able to contribute to architecture, design reviews, code reviews, and implementation when needed.
Nice to have
- Experience with AI evaluation frameworks, experimentation platforms, or ML infrastructure.
- Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking.
- Familiarity with DPO, RLHF, model fine-tuning, or preference learning.
- Experience building internal platforms adopted across multiple engineering teams.
Benefits
- Medical and dental insurance
- Life, AD&D, and disability insurance
- Paid parental leave
- Paid time off inclusive of holidays and sick time
- Remote work stipend and one-time work-from-home setup stipend
- Retirement plan and financial planning
- Learning and development budget
- Incentive stock options