The opportunity
Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.
What you'll do
Lead, coach, and grow a high-performing team of AI and software engineers,: developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning.
Own the execution and delivery of the AI Platform roadmap, balancing: near-term product impact with long-term platform investments.
Partner closely with Product, Applied AI, Data Science, and engineering: leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice.
Lead the development of AI evaluation infrastructure, quality metrics,: experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences.
Drive technical and organizational decisions that improve the scalability,: reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions.
Build strong cross-functional partnerships and influence engineering strategy: to establish AI evaluations as a foundational capability that accelerates AI development across Lattice.
What they're looking for
- Experience leading and growing high-performing software engineering teams,: with a track record of hiring, coaching, and developing engineers into strong technical leaders.
- Strong technical background leading teams that build AI infrastructure,: AI-powered products leveraging Large Language Models (LLMs) and/or AI agents, distributed systems, or developer platforms. You are a highly technical engineering leader who leads by example—contributing to architecture, design reviews, and code reviews, diving into implementation details when needed, and raising the technical bar across the team.
- Experience building enterprise SaaS AI products where quality, trust,: reliability, and scalability are critical to customer success.
- Proven ability to lead complex cross-functional initiatives from strategy: through execution, partnering effectively with Product, Applied AI, Data Science, and Engineering to deliver business impact.
