Engineering Manager, AI

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead, mentor, and develop a high-achieving team of AI and software engineers, transforming them into robust technical leaders while nurturing a culture of ownership, technical excellence, experimentation, and ongoing learning.

• Take ownership of the execution and delivery of the AI Platform roadmap, balancing immediate product impact with long-term platform investments.

• Collaborate closely with Product, Applied AI, Data Science, and engineering leaders to define the metrics for AI quality, ensuring it is assessed and continuously improved across Lattice.

• Spearhead the creation of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that empower each AI product team to confidently build, assess, and launch AI experiences.

• Drive both technical and organizational decisions that enhance the scalability, reliability, and adoption of the AI Platform, enabling engineers to take ownership of architecture and technical solutions.

• Cultivate strong cross-functional partnerships and influence engineering strategies to establish AI evaluations as a core capability that accelerates AI development across Lattice.

⛳️ Requirements

• Proven experience in leading and nurturing high-performing software engineering teams, with a successful history of hiring, coaching, and developing engineers into proficient technical leaders.

• Strong technical expertise in leading teams that develop AI infrastructure, AI-powered products utilizing Large Language Models (LLMs) and/or AI agents, distributed systems, or developer platforms. You are a highly technical engineering leader who exemplifies best practices—contributing to architecture, design reviews, and code evaluations, delving into implementation specifics when necessary, and elevating the technical standards across the team.

• Experience in creating enterprise SaaS AI products where quality, trust, reliability, and scalability are vital for customer success.

• Demonstrated ability to lead complex cross-functional initiatives from strategy to execution, effectively partnering with Product, Applied AI, Data Science, and Engineering to drive business impact.

• Exceptional communication and stakeholder management skills, with the ability to provide clarity, align teams, and influence technical direction in fast-paced, ambiguous environments.

• A strong product and platform orientation, balancing customer impact, engineering speed, operational excellence, and long-term technical investments.

• A leadership approach grounded in curiosity, humility, ownership, and ongoing learning, with a passion for constructing outstanding engineering teams and delivering high-quality AI products.

• Nice to Have: Experience in developing AI evaluation frameworks, experimentation platforms, or ML infrastructure. Familiarity with statistical experimentation, A/B model testing, offline evaluations, or model benchmarking. Knowledge of advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning. Experience in building internal platforms and services utilized across multiple engineering teams.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Life, AD&D, and Disability Insurance

• Natural Disaster Support Program

• Wellness Apps

• Paid Parental Leave

• Paid Time off inclusive of holidays and sick time

• Working Remotely Stipend

• One-time WFH Office Set-Up Stipend

• Retirement Plan

• Financial Planning

• Learning & Development Budget